Oferty pracy Data Engineer i Data Science — Strona 2 — 2,277+ Ofert

All positions Full-time Machine Learning Engineer Remote (CET ±2h) | Frankfurt | Berlin Start: Immediate Full-time The role You will build and deploy production-grade AI systems for enterprise clients. Your work spans the full lifecycle - from prototyping and model development to API integration and production deployment. What you'll do Design, build, and deploy production-grade AI-powered applications end-to-end Develop APIs and integrate ML models and data pipelines into user-facing products Collaborate with ML, data, and engineering teams to ship reliable systems Contribute to architectural decisions, tooling, and engineering best practices Document systems and share knowledge to support long-term scalability What you bring BSc or higher in Computer Science, Machine Learning, Mathematics, or related field Strong Python skills; familiarity with CUDA or C++ is a plus Experience with ML frameworks (PyTorch, TensorFlow, or JAX) Solid software engineering habits: testing, code reviews, CI/CD Pragmatic, results-oriented, and comfortable owning work end-to-end Fluent English (German is a plus) Nice to have Experience with real-time, low-latency ML pipelines Hands-on experience with transformer architectures, agentic systems, and deep learning Cloud or on-premise deployment experience (AWS, Azure) What we offer Remote-first with full flexibility (CET ±2–3h) Mentorship directly with C-level leaders Investment in your personal development and certifications Regular team offsites and retreats Real ownership on cutting-edge AI projects from day one Role details TypeFull-time LocationRemote (CET ±2h) | Frankfurt | Berlin StartImmediate Get started Ready to put AI workers into your revenue team? Let's talk about where AI can make the biggest impact in your organization.

For our client, a fast-growing AI product company, we are looking for a Senior Backend & AI Engineer (Python) to help build and develop core architecture from scratch and contribute to the development of an innovative AI-driven platform. What You'll Do: Design and implement scalable, secure, and efficient back-end services primarily in Python. Architect and develop advanced AI agents and stateful LLM conversational flows, managing short-term session context and long-term memory extraction. Build logic to evaluate user interactions and implement structured data pipelines to save, transcribe, and serve real-time session histories and system analytics. Own technical decisions for backend architecture, APIs, and microservices design. Explore and evaluate new tools, frameworks, and infrastructure to improve the product and infrastructure stack. Collaborate closely with product managers, designers, and front-end engineers to deliver impactful features. Proactively identify technical issues, lead research initiatives, and resolve complex architectural bottlenecks. Help establish engineering best practices, code quality standards, and technical documentation as the company scales. 5+ years of experience in back-end development with Python. Proven hands-on experience building AI agents, orchestrating complex LLM workflows, and deploying RAG pipelines. Experience with advanced AI orchestration and memory management frameworks (e.g. LangGraph, LangMem). Experience with vector search engines (such as Qdrant) for high-performance data retrieval and artefact management. Experience with latency optimisation for LLM streaming and database queries. Strong ownership mindset with the ability to independently research, solve problems, and unblock yourself autonomously. Strong knowledge of PostgreSQL and experience working with ORMs. Experience in early-stage startups or building systems from scratch in a fast-paced environment. Proactive and highly autonomous, while maintaining structured workflows and respecting team processes. Result-oriented, hard-working, and ambitious. Upper-Intermediate or higher English proficiency. Experience with TypeScript, NestJS, or React, and willingness to contribute across the stack when needed. Knowledge of CI/CD pipelines and containerization with Docker. Experience with message brokers (e.g. NATS) for microservices communication. Experience in performance optimisation and working with high-load or data-intensive systems. Experience in subscription-based or B2B/B2C SaaS products. Competitive market compensation. 20 paid vacation days per year. Full-time remote work with flexible working hours. Fast-paced, product-driven environment with real ownership and autonomy. Opportunity to shape architecture and technology decisions from an early stage. Close collaboration with a strong product, design, and growth team. Transparent culture with minimal bureaucracy and quick decision-making. Smart and ambitious teammates who value impact over process.We look forward to receiving your CV and learning more about your experience!Dear Candidates, due to a high volume of applications, we'll only contact selected candidates for interviews. We appreciate your understanding. Thank you for considering a career with us. Work type Full-time Location Remote

Wil jij: Elke week een andere scale-up helpen groeien? Werken met tientallen verschillende datasets? Elke dag iets nieuws leren? Lees dan snel verder! Over de baan Goede beslissingen beginnen met goede data. Bij Insight First bouwen we het fundament onder de groei van snelgroeiende e-commerce merken. We zijn een team van gedreven Analytics Engineers en zoeken een technisch sterke Analytics Engineer. Iemand die het leuk vindt om data op te halen, pipelines werkend te krijgen en te houden, en snapt dat een oplossing in de praktijk vooral betrouwbaar en bruikbaar moet zijn. Je werkt aan alles van API-koppelingen en ETL tot het modelleren van data in SQL. De ene keer haal je data op met een ETL-tool zoals Airbyte, de andere keer bouw je een custom script in Python dat draait op Google Cloud Run en wordt getriggerd via Cloud Scheduler. En als er even minder engineeringwerk ligt, pak je net zo goed SQL-modellering op om data bruikbaar te maken voor dashboards en analyses. Geen dag is hetzelfde: de ene keer onderzoek je hoe een nieuwe API werkt, de andere keer los je een issue op in een bestaande pipeline of werk je een SQL-model bij voor een klant. Je vindt het leuk om dingen goed neer te zetten, maar snapt ook dat een pragmatische oplossing soms simpelweg de best oplossing voor de klant is.  Kortom: jij zorgt ervoor dat data van onze klanten betrouwbaar binnenkomt, goed landt en bruikbaar wordt gemaakt voor analyse. Wie zijn wij? Insight First is het remote data & BI-team voor merken als Pink Gellac, Cloudpillo, Buienalarm en Alpine. Wij halen data op uit 50+ systemen (Shopify, Amazon, Meta, Google Ads, you name it), modelleren de data en slaan deze op in Google Cloud. Het resultaat: een single source of truth (data warehouse), overzichtelijke dashboards en analyses. We investeren veel in nieuwe tools en innovatie zoals conversational analytics, reverse ETL en automations om onze klanten te helpen sneller en slimmer te groeien op basis van data. Ons team bestaat uit nieuwsgierige data consultants & engineers die houden van puzzelen, bouwen en verbeteren. Vanuit ons kantoor bij Utrecht Vaartsche Rijn (met uitzicht op het Ledig Erf 🍻) werken we hybride: de helft op kantoor, de helft thuis. Wat ga je doen Integraties & pipelines: bouwen en onderhouden van API-koppelingen en ETL-flows met tools zoals Airbyte en custom Python scripts op Google Cloud Run / Cloud Scheduler. Troubleshooting & onderhoud: issues in bestaande pipelines oplossen, logs checken, API’s uitpluizen en zorgen dat datastromen betrouwbaar blijven draaien. Datamodellering: waar nodig SQL-modellen bouwen en beheren in DBT en BigQuery, zodat data bruikbaar wordt voor dashboards en analyses. Verbeteren & automatiseren: kijken hoe dingen slimmer, stabieler en efficiënter kunnen, zonder onnodig complex te worden. Werken voor meerdere klanten: schakelen tussen verschillende klanten met elk hun eigen set aan databronnen en vraagstukken. Je werkt in een agency-omgeving waar afwisseling eerder regel dan uitzondering is. Slimme technische oplossingen: af en toe iets bouwen of verbeteren in onze tech stack om het leven van jezelf, collega’s of klanten net een stukje makkelijker te maken, bijvoorbeeld een kleine automation, helper tool of script. Een dag is nooit hetzelfde. Je begint je dag met het uitpluizen van een nieuwe API koppeling die gebouwd moet worden. Je hebt hiervoor een briefing gekregen van een collega en werkt met Claude de mogelijkheden uit en tijdsinschatting uit. Daarna ga je aan de slag met het doortesten van een Cloud Run python script wat je gisteren hebt gebouwd. Het was even puzzelen maar het is gelukt om de data in BigQuery te krijgen én te valideren, yes! Morgen ga je de data koppelen aan de andere sales datasets zodat je collega het dashboard kan afmaken. Eind van de dag komt er nog een foutmelding binnen. Je hebt error handling inmiddels redelijk geautomatiseerd dus er is al een PR voor je klaargezet die je kunt doorklikken. Er was een veldnaam gewijzigd. Hoppa, ook weer afgevinkt. Je werkt meteen ook even je planning bij en schrijft je gewerkte uren (ja, ook dat hoort erbij). Voorbeelden van wat wij voor klanten doen vind je ook onder Cases op onze website! Doorgroeimogelijkheden Er is veel ruimte voor eigen inbreng qua automatisering en dingen slimmer doen. We werken graag met state-of-the-art tooling en investeren daar ook graag in. Mocht je ergens zelf niet uitkomen denkt onze CTO of freelance developer graag met je mee. Er is ruimte om dingen te leren op vlak van AI, infrastructuur, cloud en data engineering/ETL. We zijn een groeiende start-up, dus het is ook wat je er zelf van maakt en je bouwt actief mee aan het bedrijf. Wie ben jij en wat neem jij mee Ongeveer 3–5 jaar ervaring in analytics engineering, data engineering of een vergelijkbare rol. Je bent sterk in SQL en kunt ook goed uit de voeten met Python. Je hebt ervaring met het ophalen en verwerken van data via API’s, ETL-tools of scripts. Je hebt ervaring met Google Cloud Run en Scheduler. Je vindt het leuk om dingen uit te zoeken en zelfstandig op te pakken. Je bent pragmatisch: je snapt wanneer simpel en degelijk beter is dan perfect en complex. Je schakelt makkelijk tussen verschillende klanten en vraagstukken. Je voelt je prettig in een dynamische omgeving waarin niet alles vooraf helemaal is uitgewerkt. Je hebt interesse in techniek en nieuwe tools, maar bent vooral gericht op oplossingen die in de praktijk werken. Ervaring met e-commerce data of marketingdata. Affiniteit met automatisering, AI of het bouwen van interne tools. Je spreekt Nederlands en wil minimaal 32u per week (in Nederland) werken. Nice to haves Ervaring met DBT en/of AirByte. Ervaring in een servicegerichte organisatie of agency-omgeving. Wat bieden wij? Een uitdagende rol met veel afwisseling en ownership; Werken voor de meest toonaangevende en snelgroeiende merken in e-commerce; Werken met een brede variëteit aan datasets (versus 1 groot bedrijf waar je steeds met dezelfde data werkt); Een jong en gezellig team van like-minded nerds waar je veel van kunt leren; Salaris tussen de €4000 en €6000 bruto per maand, afhankelijk van ervaring; Contract: 32–40 uur, hybride werken; NL/EN werktaal; Elk jaar een team uitje naar het buitenland, zo zijn we in Praag, Londen en de Ardennen geweest; 25 vakantiedagen + volledige reiskostenvergoeding; Elk jaar een vrije dag om vrijwilligerswerk te doen; MacBook, Netto telefoonvergoeding; Diverse opleidings- en trainingsmogelijkheden, dit jaar hebben we bijv. een sales training gedaan; Na een jaar in dienst, pensioenbijdrage via Brand New Day; Een fijne werkplek in Utrecht vlakbij Ledig Erf; Hybride werken tot 50% thuis; Apply Enthousiast? Mail je cv + korte motivatie naar kim@insightfirst.nl of bel 06-49814228. Er zijn twee gesprekken op locatie in Utrecht. De eerste inhoudelijk over jou en de baan, de tweede behandelen we een SQL case die je vooraf thuis mag voorbereiden. Ook vragen we je een online DISC test in te vullen, die we in het tweede gesprek bespreken. Voorafgaand aan het eerste gesprek wordt je gebeld door onze collega Emile die in een telefoongesprek van +/- 15 minuten alvast kort kennismaakt. Acquisitie naar aanleiding van deze vacature wordt niet op prijs gesteld.

Senior NLP EngineerLondon / £90000 - £120000 annumINFOSALARY:£90000 - £120000LOCATIONLondonPermanentSenior NLP EngineerUK remoteThe CompanyThey are a fast-growing technology business specialising in AI-driven analysis of communication data. Their platform is designed for high-volume, real-time environments where accuracy and scalability are critical. The organisation works at the intersection of AI, data, and compliance, with strong investment in innovation and product development. You will join a collaborative, distributed team with regular opportunities to connect in person across global locations.The RoleOwn end-to-end delivery of NLP and AI features, from data ingestion through to deployment and optimisationBuild pipelines to process and analyse multimodal data including audio, video, text, and imagesDevelop capabilities across transcription, classification, and modelling at production scaleDesign systems for analysing, supervising, and archiving large volumes of communication dataWork closely with product and cross-functional teams to define requirements and deliver impactful solutionsContribute to communication and knowledge sharing across engineering and business teamsStrong commercial experience in NLP and machine learning, with models deployed into productionExperience working with LLMs and/or multimodal AI systemsSolid understanding of data pipelines, ingestion, and preprocessing for unstructured dataProficiency in building scalable systems that handle high-volume data workloadsStrong software engineering fundamentals and experience in collaborative development environmentsAbility to translate complex technical work into clear business outcomesCompetitive salaryFully remote working within the UKRegular team meetups, including annual global gatherings and European eventsOpportunity to work on complex, high-impact AI challengesClear progression within a growing AI and engineering functionInclusive and collaborative culture that values diverse perspectivesApply with your CV to find out more about this opportunity.CONTACTGiulia Fronteddu Recruitment Executive SIMILAR JOB RESULTS Associate, Kubernetes EngineerNew York$150000 - $180000+ Data EngineeringPermanentNew YorkAssociate Kubernetes Engineer (AI / Machine Learning Infrastructure)A globally recognized enterprise technology organization is hiring an Associate-level Kubernetes Engineer to join a highly strategic Machine Learning Platform Engineering team responsible for building and scaling the cloud-native infrastructure powering AI and machine learning systems across the company.This team sits at the intersection of Kubernetes, cloud infrastructure, GPU-accelerated computing, distributed systems, and machine learning platform engineering, supporting internal data science and engineering teams building next-generation AI systems at enterprise scale.Why This Opportunity Stands OutThe organization is making a significant long-term investment in modernizing its firm-wide AI and machine learning infrastructure, transitioning from legacy hybrid environments into fully cloud-native, Kubernetes-based platforms optimized for GPU-enabled AI workloads and large-scale model deployment.This is an opportunity to work on infrastructure supporting the entire machine learning lifecycle – from model training and experimentation through inference and production deployment – while learning directly from a highly senior engineering team operating at exceptional scale.Key ResponsibilitiesDeploy and operate production-grade Kubernetes clusters supporting machine learning workloadsSupport internal ML engineers by maintaining infrastructure for model training, experimentation, deployment, and real-time inferenceBuild and maintain GPU-enabled infrastructure environments supporting AI workloadsDeploy and integrate machine learning tooling including Kubeflow, notebook environments, inference services, and model runtime infrastructureWork with cloud-native infrastructure as the organization migrates fully toward Google Kubernetes Engine (GKE)Support deployment and operationalization of Large Language Models (LLMs) for internal enterprise use casesImprove platform reliability, scalability, observability, and system performance across distributed environmentsRequired ExperienceStrong hands-on experience with Kubernetes (deploying workloads, not simply cluster administration)Experience supporting machine learning infrastructure or ML tooling on KubernetesUnderstanding of the machine learning development lifecycle (training, experimentation, deployment, inference)Programming experience with Python or GoExperience working with cloud-native infrastructure environmentsStrong understanding of distributed systems and infrastructure reliabilityPreferred ExperienceGPU workload deploymentNVIDIA operator experienceKubeflow or notebook environmentsKubernetes controllers / CRDsGoogle Kubernetes Engine (GKE)Exposure to production AI or LLM deployment infrastructureCompensation & LocationCompensation highly competitive with strong bonus structureLocations: New York / New Jersey, Toronto, or DallasPrimarily onsite environment with some team-level flexibilityVisa sponsorship availableThis is an exceptional opportunity for engineers looking to deepen expertise at the intersection of Kubernetes, AI infrastructure, cloud-native systems, and next-generation machine learning platforms operating at enterprise scale.Forward Deployed EngineerSan Francisco$200000 - $250000+ Data Science & AIPermanentSan Francisco, CaliforniaTo Apply for this Job Click HereForward Deployed EngineerLocation: San Francisco, CA (Hybrid – 3 days onsite)Compensation: $200,000-$225,000 base + bonus + equityWork Authorization: No SponsorshipAbout the RoleThis role is best suited for product-minded software engineers who enjoy solving customer problems as much as writing code.You’ll work directly with enterprise customers to understand complex workflows, rapidly build AI-powered prototypes, and validate solutions that can evolve into core product capabilities. Rather than spending months designing systems, you’ll be expected to move quickly-taking an idea from a customer conversation to a working proof of concept in just a few days.You’ll operate at the intersection of Engineering, Product, and Customer Success, helping shape both individual customer outcomes and the long-term product roadmap.What You’ll DoWork directly with enterprise customers to understand business challenges and technical requirements.Design and build AI-powered MVPs and proof of concepts on rapid timelines.Demo solutions, gather customer feedback, and iterate quickly.Partner with Product Managers and Software Engineers to productionize successful prototypes.Leverage modern AI development tools to dramatically accelerate engineering velocity.Influence future platform capabilities through direct customer insights and product feedback.What We’re Looking For3-7+ years of backend software engineering experience.Strong Python development skills (TypeScript or Node.js experience is highly valued).Excellent product sense and customer empathy.Proven ability to ship working software quickly in ambiguous environments.Comfortable using AI coding assistants such as Claude Code, Codex, Cursor, or similar tools.Strong communication skills and confidence presenting technical solutions to customers.High agency, curiosity, and a bias toward action.Ideal BackgroundsForward Deployed EngineerGrowth EngineerProduct EngineerFounding Engineer or early-stage startup engineerAI-native B2B software companiesEngineers who have built customer-facing products from idea to productionWhy Join?This is an opportunity to build AI-powered products where speed, ownership, and customer impact matter. You’ll have significant influence over product direction, work alongside experienced engineering leadership, and help define how AI-native software is delivered to enterprise customers.To Apply for this Job Click HereFullstack Software EngineerNew York$200000 - $400000+ Data EngineeringPermanentNew YorkTo Apply for this Job Click HereFullstack Software EngineerLocation: New York, NY (5 days onsite)Pay: $200k – $400k Base + Bonus & EquityNo Sponsorship OverviewA fast-growing, highly innovative technology company operating at the forefront of AI and predictive analytics is building advanced simulation systems to model human behaviour at scale. Their platform enables organisations to make smarter decisions across strategy, product development, and customer engagement by leveraging cutting-edge artificial intelligence.This is a high-impact opportunity to join a small, elite team focused on solving complex problems with speed, ownership, and minimal bureaucracy. The environment suits engineers who thrive in ambiguity and want to build foundational systems that drive real-world outcomes.Responsibilities:Design and build core platform systems that underpin advanced AI-driven productsDevelop scalable frameworks and abstractions to simplify complex simulation capabilitiesIdentify patterns across user workflows, product needs, and system capabilitiesCollaborate closely with product, research, and design teams to translate innovation into usable featuresOwn platform architecture decisions from initial design through iteration and scalingBuild developer-friendly systems that support a wide range of technical usersWrite high-leverage, reusable code that reduces complexity across the productMust-Have Qualifications:Experience building platforms, developer tools, or workflow-heavy software productsStrong backend or full-stack engineering background with experience in scalable systems designProven ability to simplify complex technical systems into intuitive user experiencesExperience working cross-functionally with product, research, or customer-facing teamsDemonstrated ownership of system architecture and end-to-end product deliveryAbility to operate effectively in ambiguous, fast-paced environmentsTo Apply for this Job Click HereHead of AI & Machine Learning$250000 - $275000+ Data Science & AIPermanentUSATo Apply for this Job Click HereHead of AI & Machine Learning$250,000 – $325,000 Base + EquityRemote, United States. Competitive salary plus equity and benefits.This is a rare opportunity to define and lead an AI strategy within a high-growth technology environment. You will combine hands-on machine learning expertise with strategic leadership, shaping how advanced AI capabilities drive real-world impact across a sophisticated product suite.The Company They are a fast-growing technology business operating within a highly data-driven environment, focused on transforming complex workflows through intelligent automation. Their platform supports large-scale data processing and decision-making for enterprise clients, helping to modernise manual, document-heavy processes. With strong backing and ambitious growth plans, they are investing heavily in AI to enhance product capability and maintain a competitive edge. This role sits at the centre of that transformation.The RoleDefine and deliver the AI and machine learning strategy, aligning with product and business objectivesDesign, build, and deploy advanced NLP and document intelligence models for extracting and processing unstructured dataLead the full ML lifecycle including data ingestion, feature engineering, model development, evaluation, and deploymentExplore and implement modern AI approaches such as large language models, embeddings, and retrieval augmented systemsBuild, mentor, and scale a high-performing machine learning teamCollaborate with product and engineering teams to identify high-impact use cases and deliver scalable solutionsEstablish best practices for model monitoring, observability, and performance optimisationProvide technical and strategic guidance to senior stakeholders on AI opportunities and risksYour Skills & ExperienceStrong commercial experience building and deploying machine learning models, particularly within NLP or document intelligenceExpertise in processing unstructured or semi-structured data into structured outputsProficiency in Python and modern machine learning frameworks such as PyTorch or similarExperience deploying models in production environments using cloud platforms and containerised workflowsProven ability to lead and develop technical teams while remaining hands-onStrong understanding of the full machine learning lifecycle and best practices in model evaluation and monitoringAbility to communicate complex technical concepts to a range of stakeholdersWhat They OfferCompetitive salary and equity packageFully remote working with flexible arrangementsComprehensive healthcare and retirement benefitsGenerous holiday allowance and parental leaveClear progression path with the opportunity to shape and lead an AI functionHigh impact role within a growing, innovation-focused businessHow to Apply If you are interested in leading cutting-edge AI initiatives in a high-growth environment, apply now to learn more.To Apply for this Job Click HereCAN’T FIND THE RIGHT OPPORTUNITY? STILL LOOKING? If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.

Who We Are<br /> Stanley Reid is a specialized recruiting firm connecting top contractors with exciting IC/DoD opportunities. We're dedicated to a personalized, stress-free job search, matching your unique skills and goals with the perfect role.<br /> <br /> The Role<br /> Our client is seeking a Senior Data Engineer / Technical Lead to support mission-critical cyber and network operations within the Department of War and Intelligence Community. In this role, you will design, build, and optimize data pipelines that transform complex, high-volume data into actionable intelligence supporting national security efforts.<br /> <br /> Qualified Senior Data Engineer should have the below skills: <br /> <br /> -9+ years of experience in data engineering, software engineering, or related technical fields and a Bachelors in a related field<br /> -Strong experience designing and building ETL pipelines and data ingestion frameworks<br /> -Hands-on experience with Kafka, NiFi, and AWS (S3, SQS)<br /> -Proficiency in Java with experience in unit and integration testing<br /> -Secret clearance and a DoD 8570 IAT II certification (or higher)<br /> <br /> *Please note: Applicants may be required to complete a coding challenge during the interview process per customer requirements. <br /> <br /> This work supports a hybrid work model with 1-2 days onsite (Columbia, MD) a week, the remainder will be remote. . Candidates must be a US Citizen with an active Top Secret level government clearance. Salary for this role is between $133,000 – $238,000, depending on experience, clearance level, location, and contract requirements.

Junior Data Analyst - £30,000 – Chelmsford BI / Power BI / SQL / Excel A highly regarded brand in the FMCG space are looking for a bright, enthusiastic Junior BI Analyst to join their IT team. This role would suit a recent IT or Computer Science Graduate that has circa 12 months experience and is looking for their next role. This is an exciting opportunity to join an established business at a time of growth. As the Junior BI Analyst you will be responsible for designing developing and maintaining business intelligence and reporting solutions to support data driven decision making. You will collaborate with stakeholders to gather requirements and create insightful reports and dashboards ensuring the integrity, reliability and optimisation of data. To be suitable for this BI / Data Analyst role you will have experience managing large data sets, have worked with SQL databases (writing and maintaining SQL queries) and have strong Excel skills. Exposure to BI tools such as Power BI would be advantageous. The salary on offer for this role is up to £32,000 plus benefits.

Computer Vision Research Engineer (PAD)About iProoviProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose.  The RoleReports to: Platform AI LeadLocation: WeWork Waterloo - Hybrid (2+ days a week in office)Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov BenefitsiProov is looking for a Computer Vision Research Engineer to join our Platform AI team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ensuring security and performance.How you can make an impact Research, prototype, and evaluate new approaches to strengthen biometric security against both presentation attacks, such as masks, printed photos, and screen replays, and emerging threats such as face swaps, synthetic media, and injection attacks.Improve the accuracy, robustness, and performance of our biometric systems through experimentation, model development, and analysis of system weaknesses.Work closely with Data Engineers and Machine Learning Engineers to understand data challenges, investigate issues, and develop scalable solutions for biometric security.Help develop datasets, tools, and evaluation methods that support the testing and improvement of biometric systems.Proactively identify new attack patterns, failure modes, and opportunities to strengthen the resilience of our biometric systems.Stay up to date with developments in computer vision, machine learning, and biometric security, and apply relevant ideas to our products.Collaborate with engineers and researchers to share findings and bring new ideas into production.What we would like to see from you A Masters or PhD in a numerate discipline such as Computer Science, Engineering, Computational Neuroscience.Proven proficiency or experience in machine learning and computer vision.Proactive, highly motivated, and curious, with a desire to understand problems and find effective solutions.Comfortable turning ideas into experiments and prototypes, and using evidence to drive decisions.Interest in modern AI technologies, including generative AI and agentic systems, and a willingness to explore how they can be applied to real-world problems.Strong communication skills and enjoys working with cross-functional teams.Benefits 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service)Growth Shares allocated after passing probation (6 months of service)Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car SchemeNursery Sacrifice SchemeWork Overseas Perk - Work globally for up to 2 weeksLife AssuranceSmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your familyBenefit from personalized 1:1 career coaching with our in-house Occupational PsychologistAward winning L&D platform with personal allocated training budgetsEnhanced paid family leavePension - 5% employee, 3% employerFlexible hybrid working environmentFree Barista Coffee/Tea, biscuits with fruit in the WeWork officeFree access to WeWork discounts and free online well-being sessionsVitality Health - a range of options available on this belowThe Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example:Private Health cover including Dental, Optical, and Audiology 50% off monthly gym memberships Apple watches significantly discounted based member vitality status Half price trainers with Runners Need Weekly rewards – Free coffee with Café Nero Monthly rewards – Free Cinema ticket Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status Amazon prime free months based on activity Up to 25% cashback at Waitrose when buying healthy foods 75% off stays at Champneys Health Spas Allen Carr’s £299 no smoking programme for free Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace Discounts on Weight Watchers 50%-80% off Comprehensive Private Health screeningsOur Culture & Recruitment ProcessAt iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected.As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world.Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to careers@iproov.com 

Company Description Legal & General (L&G) is a leading UK financial services group and major global investor. We’ve been safeguarding people’s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders. We are one of the world’s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income. Who we are Our Retail business supports customers throughout their lives, to help them save, plan, protect and enjoy retirement. We’re a leading provider of retirement and protection solutions. We aim to support our c.12.8 million policyholders and workplace members throughout their lifelong financial journeys. We focus on helping the customers of today and tomorrow achieve better long-term outcomes. We either talk with them directly or work with intermediaries and employers to meet their needs. We use the latest technology to connect with them quickly, efficiently and wherever possible in highly personalised ways. Recruiter: James Sandbrook (James.sandbrook@landg.com) Internal Closing Date: 20th May Job Description We are currently hiring for a Senior Data Scientist within the Commercial team in Group Protection, responsible for designing and pricing insurance products. The Data & Analytics function plays a critical role in owning the data lifecycle and delivering insight and modelling that directly influences pricing, profitability and customer outcomes. You’ll join a small, high-impact team where you’ll have real ownership, visibility and the opportunity to shape end-to-end data science solutions. This is a hands-on role where your work will move beyond theory into practical application, solving real business problems and driving measurable commercial value. What you'll be doing: Developing and delivering data science solutions using a variety of data sources to inform business decision-making and improve customer outcomes Applying machine learning techniques to design accurate and effective models tailored to business needs Leading stakeholder engagement and managing relationships, translating technical outputs into clear business insights Sourcing, cleansing and engineering data, including performing exploratory analysis and preparing datasets for modelling Visualising model outputs and analytical results to a high standard, championing data visualisation best practice Collaborating with data professionals and stakeholders to automate and productionise data science solutions Ensuring robust documentation and undertaking peer review and quality assurance to maintain accuracy and integrity Providing subject matter expertise across data initiatives to enhance customer experience and business performance Who we're looking for: Experience working with large and complex datasets with strong attention to detail Strong knowledge of machine learning techniques and model development approaches Proven ability in data manipulation, feature engineering and dataset creation Experience building and deploying models from experimentation through to production Confidence working with stakeholders, gathering requirements and guiding on analytical approaches Proficiency in programming languages such as Python, R and SQL for data science and analysis Experience working across multidisciplinary teams and delivering collaborative data solutions Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer: The opportunity to participate in our annual, performance -related bonus plan and valuable share schemes Generous pension contribution Life assurance Healthcare Plan (permanent employees only) At least 25 days holiday, plus public holidays, 26 days after 2 years’ service. There’s also the option to buy and sell holiday Competitive family leave Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only) There are many discounts we offer – both for our own products and at a range of high street stores and online We’re creating net‑zero carbon workplaces by 2030 by investing in our sustainable, modern offices across the UK, all designed to bring people together and elevate the in‑person experience Additional Information At L&G, we believe it's possible to generate positive returns today while helping to build a better future for all. If you join us, you’ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel. We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time, term-time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can. It doesn’t matter if you don’t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.

We're assisting a well-funded startup with their search for Machine Learning Engineers. Their product helps AI teams turn complex documents into LLM-ready inputs with exceptional accuracy. This role will work onsite in the SF office. What you'll do: Train and deploy new state of the art models for parsing and interpreting unstructured data Experiment with novel techniques to improve LLM accuracy Build data pipelines, evaluate model performance, and integrate models into the product Work directly with the founders and customers to shape the product direction and engineering strategy Ideal Candidate Traits: You have 1+ years of experience with training, fine tuning, and evaluating ML models used in production systems You have experience deploying models to production You’re exceptional at Python or similar, and are well versed with both traditional computer vision and VLMs Comfortable across software engineering and ML research Experience training ML pipelines and familiarity LLMs Nice to haves: Experience implementing ML systems for high-stakes domains (healthcare, finance, government) Experienced in computer vision (OCR,​ document processing)

Who We Are<br /> Stanley Reid is a specialized recruiting firm connecting top contractors with exciting IC/DoD opportunities. We're dedicated to a personalized, stress-free job search, matching your unique skills and goals with the perfect role.<br /> <br /> The Role<br /> Our client is seeking a Senior Data Engineer / Technical Lead to support mission-critical cyber and network operations within the Department of War and Intelligence Community. In this role, you will design, build, and optimize data pipelines that transform complex, high-volume data into actionable intelligence supporting national security efforts.<br /> <br /> Qualified Senior Data Engineer should have the below skills: <br /> <br /> -9+ years of experience in data engineering, software engineering, or related technical fields and a Bachelors in a related field<br /> -Strong experience designing and building ETL pipelines and data ingestion frameworks<br /> -Hands-on experience with Kafka, NiFi, and AWS (S3, SQS)<br /> -Proficiency in Java with experience in unit and integration testing<br /> -Secret clearance and a DoD 8570 IAT II certification (or higher)<br /> <br /> *Please note: Applicants may be required to complete a coding challenge during the interview process per customer requirements. <br /> <br /> This work supports a hybrid work model with 1-2 days onsite (Columbia, MD) a week, the remainder will be remote. Candidates must be a US Citizen with an active TS/SCI level government clearance. Salary for this role is between $133,000 – $238,000, depending on experience, clearance level, location, and contract requirements.

Data Scientist – MMMCity of London / £45000 - £46000 annumINFOSALARY:£45000 - £46000LOCATIONCity of LondonPermanentData Scientist - MMMThis is an exciting opportunity for a Junior Data Science Manager to work at the intersection of data science and marketing effectiveness. You will use advanced modelling techniques to influence real business decisions, while continuing to develop both your technical expertise and your ability to communicate complex insights clearly.The CompanyThey are a global, data-led organisation operating at the forefront of marketing analytics and technology. Built on strong technical foundations, they combine proprietary tools, experimentation, and data science to help organisations understand what drives performance. Their teams work across a wide range of clients and industries, delivering measurable impact through rigorous analysis and innovation. They are committed to developing talent and fostering a collaborative, learning-focused environment.The RoleSupport the delivery of marketing mix modelling projects, owning key components such as data preparation, model execution, and scenario analysisApply statistical and analytical techniques to solve business problems across marketing and performance dataTranslate complex model outputs into clear, actionable insights that inform budget and channel decisionsCollaborate with senior stakeholders and contribute to high-quality client deliverablesUse AI tools to enhance productivity, accelerate development, and improve communication of outputsStrong commercial experience in data science or statistical modelling, ideally within marketing analyticsHands-on experience with marketing mix modelling or similar approaches, with exposure to tools such as Meridian, Robyn, or PyMCProficiency in Python and experience working with cloud platforms such as GCPUnderstanding of Bayesian statistics and marketing attribution conceptsAbility to communicate technical findings clearly to non-technical audiencesInterest in applying AI tools to enhance data science workflowsOpportunity to work on data-driven projects across a range of industriesOngoing professional development and clear progression within a growing data science functionAccess to cutting-edge tools like Google Meridian and AI-driven workflowsApply now to learn more about this Junior Data Science Manager opportunity and take the next step in your data science career.CONTACTTheenusa Satheeshkumar Recruitment Consultant SIMILAR JOB RESULTS Sr. ML EngineerIrvine$215000 - $240000+ Data Science & AIPermanentIrvine, CaliforniaSenior Machine Learning Engineer (AdTech)Irvine, CA (Hybrid)Base Salary: Up to $240,000U.S. Citizen or Green Card Holder RequiredAbout the OpportunityA rapidly growing technology company in the AdTech space is seeking a Senior Machine Learning Engineer to join a high-impact optimization and data science team. This role is ideal for a hands-on machine learning practitioner who enjoys building production-ready models, working with large-scale datasets, and driving measurable business outcomes through AI and machine learning.You will own end-to-end machine learning initiatives, from problem definition and feature engineering to model deployment, retraining, and performance optimization. This position offers the opportunity to influence core advertising performance systems and work closely with product, engineering, and analytics teams.What You’ll DoDesign, train, evaluate, and deploy machine learning models for optimization and predictive analytics within AdTech environments.Analyze large-scale, multi-source datasets to uncover trends, opportunities, and performance drivers.Build and maintain scalable data pipelines and feature generation processes.Continuously improve model performance through experimentation, retraining, and feature enhancements.Partner with product managers and engineering teams to define requirements and deliver measurable business impact.Monitor model health, accuracy, and operational performance in production environments.Develop high-quality, maintainable code with appropriate testing, documentation, and best practices.Communicate technical findings and modeling decisions to both technical and non-technical stakeholders.Required QualificationsBachelor’s degree in Computer Science, Computer Engineering, Data Science, Mathematics, or a related technical field.5+ years of professional experience in Machine Learning Engineering, Applied Machine Learning, Data Science, or a related field.Strong experience developing and training machine learning models using Python and modern ML frameworks/libraries.Advanced SQL skills and experience working with large-scale datasets and complex multi-table data environments.Experience within AdTech, digital advertising, marketing technology, or advertising optimization platforms is required.Strong understanding of feature engineering, model evaluation, and predictive modeling techniques.Experience building and supporting production ML systems.Excellent analytical, problem-solving, and communication skills.Preferred QualificationsExperience with online feature stores and real-time data systems.Background in recommendation systems, bidding optimization, user acquisition, ad monetization, or advertising performance models.Experience working in cloud-based ML environments.Familiarity with MLOps practices and model lifecycle management.Work EnvironmentHybrid work arrangement based in Irvine, California.Collaborative and fast-paced environment focused on innovation and measurable results.Opportunity to work on high-visibility machine learning initiatives that directly impact business performance.Compensation & BenefitsCompetitive base salary up to $240,000Comprehensive benefits packagePerformance-based incentivesCareer growth and advancement opportunitiesCollaborative, technology-driven culturePlease note: Candidates must be authorized to work in the United States without sponsorship. U.S. Citizens and Green Card holders only.Senior Data EngineerDallas$140000 - $160000+ Data EngineeringPermanentDallas, TexasTo Apply for this Job Click HereSenior Data EngineerLocation: Richardson, TX Work Model: Hybrid (4 days onsite) Compensation: $140,000-$160,000 base + bonusWork Authorization: Must be authorized to work in the U.S. without sponsorship (now or in the future)About the CompanyThis established financial services organization is investing heavily in the next generation of its enterprise data platform. The team is building a modern cloud-native analytics ecosystem designed to support scalable data products, advanced analytics, and AI initiatives across the business.This is an opportunity to join a well-funded modernization effort where you’ll help define engineering standards, influence architecture, and build production-grade data solutions using today’s leading cloud technologies.The engineering culture emphasizes technical excellence, ownership, automation, and collaboration, giving engineers the opportunity to make a lasting impact while working on highly visible initiatives.About the RoleThis is not a traditional ETL maintenance role.As a Senior Data Engineer, you’ll help build a modern analytics platform from the ground up, designing scalable ingestion pipelines, transformation frameworks, and cloud-native data architectures that enable analytics, reporting, and AI across the enterprise.You’ll work alongside platform engineers, architects, analytics teams, and business stakeholders to build production-ready data solutions while helping establish engineering best practices for the broader organization.Whether your strength is data ingestion with Fivetran or analytics engineering with dbt and Snowflake, you’ll have the opportunity to own critical components of a rapidly evolving data platform.Key ResponsibilitiesDesign and build scalable ELT pipelines using modern cloud technologiesDevelop and maintain production-ready data transformation frameworks with dbtDesign Snowflake data models that support analytics, reporting, and downstream applicationsBuild and optimize data ingestion pipelines using Fivetran and cloud-native integration patternsDevelop reusable, well-tested Python and SQL solutions for large-scale data processingImplement CI/CD practices and Infrastructure as Code to improve deployment reliabilityEstablish data quality, observability, governance, and operational monitoring standardsPartner with architects, platform engineers, analytics teams, and business stakeholders to deliver enterprise-scale data solutionsEvaluate emerging technologies and contribute to the long-term evolution of the data platformMentor engineers and promote engineering best practices across the teamMust Haves7+ years of Data Engineering experience building production-grade data platformsStrong Python and advanced SQL skillsHands-on experience with dbt (required)Production experience with SnowflakeExperience designing scalable ELT/ETL pipelinesModern cloud experience (AWS preferred)Experience building and supporting enterprise data warehousesStrong understanding of CI/CD, version control, and software engineering best practicesAbility to lead technical discussions and influence architectural decisionsExcellent communication skills with a collaborative, ownership-driven mindsetNice to HaveFivetranTerraform or Infrastructure as CodePySparkKafka or streaming data platformsFinancial services experienceData platform modernization or cloud migration experienceExperience building analytics-ready data productsWhy JoinHelp build a next-generation enterprise analytics ecosystem from the ground upWork on a greenfield-style modernization initiative using modern cloud technologiesJoin a collaborative engineering organization where technical leadership is valuedInfluence architecture, engineering standards, and the future direction of the data platformWork with technologies including Snowflake, dbt, Fivetran, Python, AWS, and TerraformCompetitive compensation of $150,000-$160,000 base + bonusHybrid schedule (4 days onsite) with long-term career growth in a stable enterprise environmentTo Apply for this Job Click HereApplication Support EngineerNew York$150000 - $180000+ Data EngineeringPermanentNew YorkTo Apply for this Job Click HereApplication Support Engineer (Front Office Technology)New York – 4 Days Onsite Salary: $150,000 to $180,000 base salary + bonusThis is a front office Application Support Engineer role with a clear engineering mandate. You will support a core trading platform while actively reducing manual support through automation, observability, and AI driven tooling. It offers direct exposure to traders and portfolio managers, and a genuine pathway into platform engineering or SRE style work.The Company They are a global investment firm operating across major financial markets with a strong focus on technology and data. The organisation follows an engineering led approach, with continuous investment in modern platforms and tooling. Their environment is collaborative, high performance, and centred around innovation in trading systems. Teams work closely with the front office, ensuring technology plays a direct role in driving business outcomes.The RoleOwn the stability and performance of a front office trading platform across the trading dayMonitor system health, respond to incidents, and coordinate resolution across technology and business teamsInvestigate and resolve issues related to order flow, FIX connectivity, and market dataBuild Python based tools to automate repetitive support tasks and improve system efficiencyDevelop and maintain monitoring dashboards and alerting using Grafana or similarPartner with traders, portfolio managers, and quants to ensure smooth system operationCollaborate with engineering teams to implement long term fixes and enhancementsContribute to AI driven initiatives for incident detection and operational improvementSupport releases through testing and validation processesYour Skills and ExperienceStrong commercial experience in application or production support within a trading or financial services environmentWorking knowledge of Python for scripting and automationExperience with FIX protocol, Linux environments, and SQL ServerFamiliarity with monitoring and observability tools such as GrafanaExposure to execution management systems such as EMSX, FlexTrade, or similarUnderstanding of market data platforms and order lifecycle workflowsExperience using tools such as Git and JiraAbility to troubleshoot under pressure and communicate clearly with technical and non technical stakeholdersInterest in using AI or LLM tools to improve operational processesWhat They OfferBase salary between $150,000 and $180,000 with performance related bonusHigh visibility role with direct interaction with front office stakeholdersOpportunity to shape the future of support through automation and AI toolingClear progression into platform engineering or SRE aligned positionsCollaborative and technology focused working environmentHow to Apply If you are interested in this Application Support Engineer opportunity in New York, apply now with your CV to learn more.To Apply for this Job Click HerePrincipal Credit Risk ConsultantLondon£90000 - £120000+ Risk AnalyticsPermanentLondonTo Apply for this Job Click HerePrincipal Credit Risk Consultant London. Hybrid working with 2 days in the office. £90,000 to £120,000 + benefits.This is a standout opportunity for a Principal Credit Consultant to take on a highly visible role within a leading credit risk and analytics consulting environment. You will combine hands on analytical delivery with senior stakeholder engagement, playing a key role in both client impact and team development.The Company They are a well established UK consultancy operating across financial services, with a strong focus on credit risk, analytics, and advisory. The business partners with lenders and financial institutions to deliver data driven strategies and insights. Their credit risk team is recognised for delivering high quality work in a collaborative, flat structure that enables close interaction with senior specialists. They continue to grow their capabilities and client base across multiple service areas.The Role You will lead complex engagements while contributing to the growth and development of the credit risk team.Lead end to end delivery of credit risk and analytics consulting projectsManage multiple engagements, ensuring delivery to scope, timeline, and budgetProvide hands on analytical input where required across modelling and data analysisBuild strong client relationships and act as a trusted advisor on credit risk strategySupport growth through expanding existing client relationships and contributing to proposalsMentor and develop analysts, supporting capability building within the teamContribute to internal discussions on resource planning, delivery quality, and team developmentYour Skills and ExperienceStrong commercial experience in credit risk analytics within UK lendingExperience in a consultancy or client facing analytics environmentProven ability to lead projects and manage delivery teamsExpertise across credit risk modelling, forecasting, or strategy optimisationStrong coding capability in SAS, SQL, or Python, with willingness to work in PythonAbility to communicate complex analytical outputs clearly to a range of stakeholdersExperience building and maintaining client relationshipsWhat They OfferSalary between £90,000 and £120,000 depending on experienceHybrid working with London office presenceOpportunity to take on a senior, influential role within a growing teamExposure to complex projects and high impact client workCollaborative environment focused on professional developmentHow to ApplyApply now to learn more about this Principal Credit Consultant opportunity and the next steps in the process.To Apply for this Job Click HereCAN’T FIND THE RIGHT OPPORTUNITY? STILL LOOKING? If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.

FunctieomschrijvingVoor TenneT zoeken wij een Data Engineer - Data Scientist Maintenance. Als Data Scientist Maintenance werk je aan het data-gedreven onderhoud en risicomanagement van het hoogspanningsnet van de opdrachtgever.Je ontwikkelt en implementeert praktische oplossingen die onderhoudsbeleid datagedreven maken en je gebruikt zowel bestaande als nieuwe databronnen om assetprestaties en betrouwbaarheid te optimaliseren.Je werkt in een divers en internationaal team met een sterke focus op data science en innovatie, en je schakelt met technische experts en stakeholders om oplossingen te realiseren.Jouw verantwoordelijkhedenJe helpt bij het ontwikkelen en implementeren van een data-gedreven onderhoudsstrategie en roadmap.Je voert data-projecten uit en stuurt deze aan, zoals predictief onderhoud, AI-toepassingen en BI-oplossingen.Je koppelt jouw data-expertise aan techniekexperts om data-gedreven onderhoud succesvol te implementeren.Je ontwikkelt en onderhoudt methoden om inzicht te houden in de conditie van assets.Je denkt mee en formuleert input voor langetermijnbeleid op het gebied van data-gedreven onderhoud.Je levert bijdragen aan het optimaliseren van onderhoudsmanagement en asset performance optimalisatie op basis van data.Jouw profielAfgeronde masteropleiding, bij voorkeur in Data Science, Electrical Engineering of een andere relevante exacte richting (bijvoorbeeld natuurkunde of wiskunde).Minimaal vijf jaar relevante ervaring met data-gedreven vraagstukken in onderhoudsomgevingen.Vaardig in Python, SQL, Git en Power BI.Begrip van hoogspanningsnetten en de relevante fysische principes.Je kunt bruggen bouwen tussen verschillende interne afdelingen en externe partijen.Je bent ondernemend en neemt verantwoordelijkheid voor wat nodig is.Je bent communicatief vaardig, tactvol, zelfbewust en empathisch.Je bent analytisch sterk, omgevingsbewust en beschikt over goed beoordelingsvermogen; overtuigingskracht en zelfstandigheid zijn belangrijk.Uitstekende beheersing van het Engels in woord en geschrift voor het opstellen van adviserende documenten.Je draagt bij aan het realiseren van een stabieler en duurzamer hoogspanningsnet door onderhoud meer data-gedreven en toekomstbestendig te maken.Functie eisenJe hebt een masterdiploma, bij voorkeur in Data Science, Electrical Engineering of een andere relevante exacte discipline (bijv. natuurkunde, wiskunde)Je hebt minimaal 5 jaar relevante werkervaring met datagedreven uitdagingen in onderhoudJe bent ervaren en vaardig in Python, SQL, Git en Power BIJe beschikt over aantoonbare kennis van hoogspanningsnetten en de bijbehorende fysicaJe beheerst de Engelse taal uitstekend in woord en geschrift voor het opstellen van adviesdocumentenJe kunt werken vanuit Arnhem en bent minimaal 2 dagen per week op locatie aanwezig, waarbij maandag verplicht isFunctie wensenBij voorkeur heb je een masterdiploma in Data Science, Electrical Engineering of een andere relevante exacte discipline zoals fysica of wiskundeJe hebt minimaal 5 jaar aantoonbare relevante werkervaring met datagedreven uitdagingen in onderhoudJe bent ervaren en vaardig in Python, SQL, Git en Power BIJe hebt aantoonbaar begrip van hoogspanningsnetten en de relevante fysica

We are currently recruiting for a Contract Data Scientist to support an innovative engineering-focused organisation operating within a fast-paced R&D environment. This is an excellent opportunity for a hands-on data specialist with strong MATLAB expertise who enjoys working closely with engineering teams to drive product development through high-quality data analysis. The Role As a Contract Data Scientist, you will play a key role in supporting engineering development activities through advanced data analysis and tool development. You’ll be working with scientific and test-generated data, helping translate complex datasets into meaningful insights that directly inform product and application improvements. This position requires someone confident working autonomously, enhancing existing analytical frameworks, and collaborating with multidisciplinary engineering teams. Key Responsibilities Develop, write, and maintain robust MATLAB analysis scripts and tools Analyse complex datasets generated from scientific and engineering test environments Utilise and enhance existing internally developed MATLAB scripts to support ongoing engineering development Identify opportunities to optimise, refine, and improve current data analysis methodologies Support Test and Applications Engineers with data interrogation, validation, and insight generation Present analytical findings clearly to technical stakeholders Operate effectively within a fast-paced, iterative engineering development setting Required Experience & Skills Strong proficiency in MATLAB, including script development and tool creation Proven experience analysing scientific or engineering test data Ability to understand experimental methodologies and interpret technical datasets Experience improving or building scalable analysis workflows Comfortable working closely with engineering teams to solve practical development challenges Strong problem-solving skills and attention to detail Able to manage priorities in a dynamic R&D environment Desirable Experience Background in scientific instrumentation, sensors, electronics, or similar technical fields Experience validating data quality and supporting product verification processes Exposure to structured development environments or regulated industries This contract would suit a proactive and technically strong Data Scientist who thrives on solving complex engineering problems and contributing directly to product innovation.

Technopride Ltd | ContractLondon, United Kingdom | Posted on 24/11/2025 Share this job with your network Date Opened 24/11/2025Job Type ContractIndustry IT ServicesWork Experience 5+ yearsCity LondonProvince City of LondonCountry United KingdomPostal Code EC1AWe provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market.  Role OverviewWe are developing a next-generation data platform and are looking for an experienced Senior Data Engineer to help shape its architecture, reliability, and scalability. The ideal candidate will have more than 10 years of hands-on engineering experience and a strong background in building modern data pipelines, working with cloud-native technologies, and applying robust software engineering practices.Key ResponsibilitiesDesign & Build Data PipelinesDesign, develop, and optimise scalable, testable data pipelines using Python and Apache Spark.Implement batch workflows and ETL processes adhering to modern engineering standards.Develop Cloud-Based WorkflowsOrchestrate data workflows using AWS services such as Glue, EMR Serverless, Lambda, and S3.Contribute to the evolution of lakehouse architecture leveraging Apache Iceberg.Apply Software Engineering Best PracticesUse version control, CI/CD pipelines, automated testing, and modular code principles.Participate in pair programming, code reviews, and architectural design sessions.Data Quality & ObservabilityBuild monitoring and observability into data flows.Implement basic data quality checks and contribute to continuous improvements.Stakeholder CollaborationWork closely with business teams to translate requirements into data-driven solutions.Develop an understanding of financial indices and share domain insights with the team.What You’ll BringTechnical ExpertiseStrong experience writing clean, maintainable Python code, ideally using type hints, linters, and test frameworks such as pytest.Solid understanding of data engineering fundamentals including batch processing, schema evolution, and ETL pipeline development.Experience with—or strong interest in learning—Apache Spark for large-scale data processing.Familiarity with AWS data ecosystem tools such as S3, Glue, Lambda, and EMR.Ways of WorkingComfortable working in Agile environments and contributing to collaborative team processes.Ability to engage with business stakeholders and understand the broader context behind technical requirements.Nice-to-Have SkillsExperience with Apache Iceberg or similar table formats (e.g., Delta Lake, Hudi).Familiarity with CI/CD platforms such as GitLab CI, Jenkins, or GitHub Actions.Exposure to data quality frameworks such as Great Expectations or Deequ.Interest or background in financial markets, index data, or investment analytics. {{criteriaIndex}} {{field}} {{captialize(condition)}} ( ) {{topMessage}} {{score}}%{{message}} Step {{curStepInMandatorySecPrompt}}/{{totalNumOfStepsInMandatorySecPrompt}}For privacy and security purposes, please go through the following points and provide consent. {{cxPropBodyMessage}}{{getI18n("zr.careers.autopopulate.success")}} {{getI18n("zr.cw.apply.sign",cxPropCompanyInfo.name)}}{{getI18n('zr.eeo.questionnaire.portal.maintitle')}} {{botName}}

Dit ga jij doenThis is a new position, part of Odido’s large-scale investment and expansion in Artificial Intelligence, as we move toward a future where AI helps make every customer interaction more personal, efficient, and human.As a Senior Data Scientist, you’ll develop and apply advanced predictive and generative AI models that directly influence our commercial performance and customer interactions. You’re not just a data expert, you’re a creator of smarter, more human experiences.Your deep knowledge of both data science and telecom enables you to design human-like, conversational AI that enhances how customers connect with us across multiple channels. Most of your time will be spent working on Natural Language Processing (NLP), powering chatbot and voicebot solutions using the latest Generative AI models.This role focuses on scaling and expanding current initiatives using cutting-edge LLMs. You’ll help internal teams work more efficiently, for example, by creating Retrieval-Augmented Generation (RAG) models to support customer service agents, while also setting up new frameworks that empower customers to find answers faster and smarter.You’ll collaborate across departments, translating complex data into real business value. That means delivering POCs that matter, converting them into production-ready systems together with our data engineers, and communicating your insights with clarity, tact, and confidence.You’ll be close to customer feedback, learning fast, iterating often, and helping shape Odido’s evolution into a truly data-driven organization.All of this, in an informal, open environment where innovation, autonomy, and personal growth go hand in hand.Your TeamYou’ll join our Data Science team, part of the Information Technology (IT) department; A diverse and ambitious group of experts from three continents. We work closely with both technical and non-technical teams across Odido.You’ll collaborate with colleagues in B2C, B2B, Finance, and Technology, building models designed for production from day one.You won’t just build solutions, you’ll see them come to life.At Odido, we believe in people.We personally review every application, no keyword filters, no automated decisions. That’s why we ask you to briefly share why you believe this specific role at Odido fits your experience and ambition. If it’s a match, we’ll notice. We do not hire your AI (Yet)…;-)Together we areWe want to become the most human-centred telecom provider in the Netherlands. That might sound odd from an IT or network role, but that's exactly where it starts. Because without stable systems, a reliable network and smart technology there's no conversation, no connection, no trust. You make sure everything runs, even when nobody notices. And that's precisely the point. Even if the customer doesn't see you, your impact is felt in every conversation, every connection and every moment it just works. Because when the technology is solid, people can work, customers can be helped, and trust is built.This is what we stand forAt Odido we're there for each other. We see each other's talents. We listen and always look at what's possible, technically, personally and in the way we work together. Because you're at your best when you can grow, Odido gives you all the space you need for that. Together we look at where your ambition and talent lie and make sure you get the opportunities to grow in your own way, whether that's deeper technical specialisation, a broader architect role, or a step towards tech leadership.What we offer.At Odido you build critical infrastructure at a national scale, with a competitive salary and a bonus that matches your role. You work in compact teams with short lines, hybrid and with flexible hours. Your growth is central: through a personal development budget of up to €1,000 per year, more than 200 digital courses and room for technical specialisation or a step towards tech leadership.You bring thisSome things you cannot learn at university, but you possess them by nature.Your core personality is empathic, decisive, curious, people-focused, authentic, and honest. You know the difference between managing and coaching, and when to apply which. You embrace challenges and are eager to grow. These are traits we’re looking for not only in managerial roles but in every Odido colleague, at every level.Must-Have Skills & QualificationsMaster’s degree (WO) in AI, Machine Learning, or Data Science4–7 years’ experience as a (Senior) Data Scientist, preferably within telecomDeep knowledge of AI/ML and hands-on experience with Generative AIProven experience with LLMs (essential)Strong experience with libraries such as TensorFlow, Keras, H2O, XGBoost, Scikit-learn, HyperoptSkilled in deploying solutions on AWS and on-prem environmentsProficiency in Python, SQL, and Git (essential); experience with Docker, Drone, and Airflow is a plusMust live in The NetherlandsNice-to-Have SkillsExperience with text-to-image modelsExperience with diverse algorithms (deep learning, regression, decision trees, gradient boosting, reinforcement learning)Knowledge of the Google AI stack for Natural Language ProcessingFamiliarity with telecom data models or customer-interaction datasetsExperience with data and model governance, explainable AI, and production ML pipelinesNative or fluent Dutch speakerLearn every dayEven though we have many different colleagues, we look for a few typical Odido traits in every new team member. You need to be able to handle a changing organisation. The world of communications changes every day, and we need to grow along with it. Being naturally curious and interested in the technology we work with and the industry we're in helps enormously.

We are looking for an experienced Senior Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) Strong analytical skills working with unstructured data sets Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB) Strong experience with big data services like Spark, Kafka, Rabbit Experience working with Startups are considered a bonus Experience working with cloud services, specifically AWS are considered a bonus Some AWESOME selling points: Remote + flexible work schedule North of six figures salary + Equity + Health Spending Account (it's competitive) Amazing opportunity for career progression to lead Amazing mentorship (seriously) Plenty of vacay It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :) * Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

Are you a data scientist with a passion for analytical depth, scientific curiosity, and clear communication? Looking to guide customers in leveraging advanced AI-driven digital twins for bioprocess optimization? Proclinical is seeking a highly motivated and scientifically minded Solution Data Scientist to join our customer-facing data science team. In this role, you will manage customer projects end-to-end: From data intake and preprocessing to building hybrid models using our proprietary technology and delivering scientifically sound and actionable insights to our clients. You will act as the technical bridge between our customers and our modeling platform-capable of understanding biological processes, interpreting model results, and communicating them in a clear, impactful, and business-relevant way. Responsibilities: Customer Project Execution Lead and manage customer modeling projects from data acquisition to result delivery. Build, calibrate, and validate hybrid models combining mechanistic and AI-based approaches. Translate biological and process data into predictive models of cell culture behavior. Data Science and Modeling Apply statistical modeling, machine learning, and hybrid modeling techniques to bioprocess data. Design and execute virtual experiments to predict and optimize process performance. Ensure scientific rigor, reproducibility, and documentation quality throughout the modeling process. Customer Engagement and Communication Communicate results and insights effectively to both scientific and non-technical audiences. Collaborate with customers to define modeling goals, interpret outcomes, and identify opportunities for further value creation. Serve as a trusted advisor and key technical contact during and after project execution. Cross-Functional Collaboration Work closely with application scientists, ML engineers, and product teams to enhance our modeling workflows. Contribute to the continuous improvement of internal tools, best practices, and modeling frameworks. Key Skills and Requirements: MSc or PhD in Data Science, Systems Biology, Bioprocess Engineering, Computational Biology, or related field. Prior experience in a customer-facing data science or scientific consulting role. Experience with hybrid or mechanistic modeling of biological systems. Familiarity with biopharmaceutical development or process modeling workflows. Strong background in data science, applied mathematics, or computational biology. Proficiency in Python and relevant data science/ML libraries (NumPy, Pandas, SciPy, PyTorch, JAX, Scikit-learn). Understanding of mechanistic modeling concepts (ODEs, kinetic models, or hybrid modeling approaches). Familiarity with bioprocess or omics data is highly desirable. Profound experience in data visualization, model validation, and result presentation. Working knowledge of cloud environments (Azure, AWS, or GCP) is a plus. Outstanding communication skills, capable of conveying complex modeling concepts to executive stakeholders and cross-functional teams. Strategic thinking with a proven ability to align technical initiatives with business objectives. Leadership and mentoring abilities to inspire and grow technical teams. High-level problem-solving mindset and passion for innovation in biopharma digitalization. If you are having difficulty in applying or if you have any questions, please contact Thomas Wenig at t.wenig@proclinical.com. If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page. Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy. By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data - https://www.proclinical.com/privacy-policy.

Over de vacature:Vorm de toekomst van luchthavenoperaties met datagedreven forecastingJouw rolIn deze rol ontwikkel en operationaliseer je forecastingmodellen die de planning en besluitvorming binnen Schiphol ondersteunen. Je werkt in een cloud-native omgeving en draagt actief bij aan de verdere ontwikkeling van de machine learning- en forecasting-infrastructuur.Wat ga je doen?Ontwikkelen, in productie brengen en onderhouden van machine learning-modellen en datapijplijnen voor forecastingInrichten van monitoring en observability om betrouwbaarheid en performance van modellen te borgenIntensief samenwerken met ML engineers, architects en business stakeholdersVerkennen en toepassen van nieuwe technieken en technologieën om forecastingprocessen te verbeterenAfstemmen van technische keuzes met de productstrategie in nauwe samenwerking met de Product OwnerJe werkt met moderne technologieën zoals Azure en Databricks, in een omgeving waar innovatie en operationele impact samenkomen.De afdeling IT & Data bouwt aan de luchthaven van de toekomst. Met slimme digitale oplossingen verbeteren we continu passagiersstromen, operationele processen en informatieservices. Het team is gedreven, samenwerkingsgericht en sterk gericht op de impact die data kan maken.Wat neem je mee?Je bent analytisch sterk, communicatief vaardig en in staat om complexe vraagstukken te vertalen naar concrete, datagedreven oplossingen. Je voelt je thuis in een omgeving waar techniek en business nauw samenkomen.Belangrijke informatieKandidaten mogen niet gelijktijdig voor meerdere aanvragen worden aangebodenCV en motivatie in het Nederlands, als PDF en toegespitst op de opdrachtMotivatie dient te zijn opgenomen in het CVVOG verplicht (kosten voor leverancier)Geldig paspoort of identiteitskaart vereistDeze opdracht valt onder Schiphol CAO schaal 11Wat wij vragen:Minimaal 5 jaar relevante ervaring in machine learningUitstekende programmeervaardigheden in PythonErvaring met MLOps, cloud computing en cloudplatformen (bij voorkeur Azure)Hands-on ervaring met Databricks en het draaien van modellen in productieErvaring met containerized deploymentsSterk analytisch vermogen en het vermogen hoofd- en bijzaken te onderscheidenGoede communicatieve vaardigheden; Engels is vereistPré: ervaring met MLflow, PySpark en/of StreamlitWat wij bieden:Waarom deze opdracht aantrekkelijk isJe werk heeft directe impact op de reiservaring van miljoenen passagiersJe werkt in een unieke omgeving waar data science en operatie samenkomenJe helpt mee aan het vormgeven van de forecastingstrategie van SchipholSamenwerking met een hoogwaardig, multidisciplinair teamArbeidsvoorwaardenSalarisindicatie: €4.900 – €6.600 bruto per maand(Schiphol CAO schaal 11, afhankelijk van ervaring, exclusief aanvullende vergoedingen)Langdurige inzet binnen een complexe en maatschappelijk relevante organisatieOver het bedrijf:Binnen Royal Schiphol Group speelt data een sleutelrol in het soepel laten verlopen van één van de drukste luchthavens van Europa. Team Delphi is verantwoordelijk voor het voorspellen van passagiersstromen op Schiphol Airport. Deze voorspellingen zijn direct van invloed op de dagelijkse operatie én op strategische beslissingen voor de lange termijn.Als Data Scientist werk je aan modellen die dagelijks impact hebben op miljoenen reizigers. Je bouwt niet alleen modellen, maar brengt ze ook naar productie, monitort ze actief en verbetert ze continu in een omgeving van unieke schaal en complexiteit.

We are looking for an experienced Senior BI Analyst for our client. This is a permanent position that is remote to start with potential later relocation to Calgary or Winnipeg. Our client is a global enterprise company with a product that you've likely used.This is a really exciting opportunity to work for a company whose product is used by millions of users daily! You Have: 3 - 5 + years’ experience as a BI Analyst Strong experience utilizing SQL to work with complex data structures Understanding of Github and Airflow considered an asset Strong experience with visualization tools like Tableau/Power BI, Google Sheets, Excel Perks: Competitive Salary Individual performance bonus Health and dental benefits 3 weeks’ vacation Relocation Package * Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

Job ID: NC-806590 (99590811) Hybrid/Local Govt Azure Data Engineer (15+) with Power BI (must), dataflows/DirectQuery/Import models, JSON/CSV/Parquet, Synapse/Snowflake/ADLS/Data Factory/Databricks, ETL/ELT, tuning, Python/Scala, PL/SQL, T-SQL, Warehousing/star schema experience Location: Raleigh, NC (NCDHHS-NCFAST) Duration: 12 Months Skills: Strong Hands-on experience configuring, designing, developing and testing dashboards using Power BI   Required    5     Years Experience supporting Power BI datasets, dataflows, and DirectQuery/Import models.  Required    5     Years Experience working with structured and semi-structured data formats (JSON, CSV, Parquet, etc.). Required    3     Years Strong experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows    Required    3     Years SQL Mastery: Advanced query writing, ETL/ELT, performance tuning, and optimization. Required    5     Years Programming Languages: Strong proficiency in Python or Scala for data processing.   Required    3     Years Hands-on experience in developing efficient PL/SQL procedures     Required    5     Years Experience with Programming and Scripting (SQL, T-SQL, and data query optimization) Required    2     Years Solid understanding of Azure cloud services (Synapse, Data Lake, Data Factory, Azure SQL, monitoring tools).      Required    2     Years Experience in Azure Data Lake Storage (ADLS), Delta Lake, and data modeling concepts and Warehousing (star schema, snowflake schema)      Required    2     Years Description: DHHS-ITD is seeking a Data Engineer for design, development, and optimization of a cloud-based analytics environment built on Microsoft Azure and Power BI for the Child Welfare and Medicaid Program(s). The Department of health and human services requires the assistance of a contract resource to serve as a Data Engineer responsible for the design, development, and optimization of data pipelines and analytics solutions/dashboards on cloud-based data platforms. This work will leverage Azure Synapse Analytics, Power BI, and integrations with Salesforce or Curam/Oracle to support program needs. Key Responsibilities: Analyze source systems and design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse, Azure Data Factory, and related Azure services. Build and manage data ingestion workflows from Salesforce, including API integrations, schema alignment, and performance tuning. Develop and maintain data models, data transformations,and semantic layers to support Power BI reporting and analytics. Optimize Synapse pipelines, SQL queries, and data storage for performance, reliability, and cost efficiency. Troubleshoot pipeline failures, Salesforce API issues,and Power BI dataset/dataflow refresh problems.

Job description Design and implement data solutionsTranslate business requirements into scalable technical designsBuild end-to-end data flows for multiple types of consumers (analytics, applications, reporting)Ensure solutions follow architectural guidelines and best practices in performance, security, and maintainability Develop data-centric web applicationsBuild front-end applications using Angular and TypeScriptImplement and maintain backend services using Python and FastAPISecure and monitor REST APIs, including authentication, authorization, logging, and observabilityWork with asynchronous processing patterns where needed Build and optimize data pipelinesDesign and maintain real-time and batch data pipelinesUse Kafka for streaming, including topics, partitions, and consumer groupsEnsure data quality, reliability, and efficient processing across the pipeline Manage cloud data platformsWork with Azure data services, including Azure Storage and Azure SynapseDesign and optimize database structures in PostgreSQL and TimescaleDBContribute to the overall data architecture and performance tuning DevOps and KubernetesDesign and maintain CI/CD pipelines for data and application componentsDeploy and operate solutions in Kubernetes environments (development, test, production)Implement monitoring, alerting, and reliability practices for production workloads Collaboration and problem solvingWork in an Agile setup with regular ceremonies (planning, daily stand-ups, reviews, retrospectives)Proactively identify technical risks and blockers and drive resolutionCollaborate with data owners, architects, and business stakeholders to deliver high-quality solutionsSolid professional experience as a Data Engineer or Senior Data EngineerStrong hands-on programming skills in PythonExperience building web applications with:Angular (TypeScript) for the front endFastAPI for backend services and REST APIsGood understanding of API security, authentication, and authorization (e.g., JWT, OAuth2), as well as logging and observabilityStrong SQL skills and experience with PostgreSQL and TimescaleDBPractical experience with Azure data services (e.g., Synapse, Storage)Proven experience implementing data streaming solutions with Kafka, including consumer group managementExperience designing and maintaining CI/CD pipelines (e.g., Azure DevOps, GitLab CI, GitHub Actions)Hands-on experience deploying and operating solutions in KubernetesFamiliarity with Microsoft Entra (Azure AD) or similar identity providersOpportunity to work on impactful data and cloud projects in the energy and sustainability domainInternational, multicultural environment based in LuxembourgContinuous learning and upskilling opportunities (technical training, certifications, knowledge sharing)Competitive salary and benefits packageSupportive team culture with a focus on collaboration, ownership, and technical excellenceAmaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.#LI-VG1Who are we?Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.We look forward to meeting you!

Founded in 2010 by a technical leader, our client fosters a unique blend of collaborative spirit and professional excellence in IT consulting. Their laid-back, supportive environment encourages continuous learning with certification bonuses and flexible schedules. They demonstrate their commitment to employee well-being with industry-leading salaries, comprehensive benefits (10% 401k match, fully-paid medical, 6 weeks PTO), and a strong focus on work-life balance. With a portfolio of over 30 contracts across Maryland and Virginia, they offer the stability of large firms while retaining a close-knit, small-company feel. If you're a passionate tech professional seeking growth within a thriving team, this could be your perfect fit.<br /> <br /> They are seeking a Data Scientist to join their team. <br /> <br /> Relevant qualifications:<br /> -Bachelor's Degree <br /> -Experience with Python<br /> -Experience with R<br /> -Experience with machine learning<br /> -Experience with SQL<br /> -Experience with Big Data tools<br /> <br /> Desired:<br /> -Experience with cloud platforms<br /> -Experience with NLP<br /> <br /> The work is located in Tysons, VA and requires a TS/SCI + FS Poly.

Senior Data Engineer (Python, GCP, Airflow) Senior Data Engineer (Python, GCP, Airflow) Kraków, PL, 30-302 Contract type: employment contract Salary range: 14500-22350 PLN gross/month What will you do? You will join a modern data platform initiative focused on building scalable data solutions in Google Cloud Platform. The project involves designing robust data pipelines, developing data models, and ensuring reliable and high-quality data for business decision-making. You will collaborate with cross-functional teams to deliver efficient and maintainable data architecture. Your tasks: Design, develop, and maintain scalable data pipelines and ETL processes Build and manage Apache Airflow DAGs for workflow orchestration Develop data processing logic using Python and frameworks like DBT or Spark Work with BigQuery and Cloud SQL to store and transform data Implement and maintain data architecture and data models Ensure data quality, integrity, and reliability Collaborate with business stakeholders to translate requirements into data solutions Maintain technical documentation and contribute to data standards Support deployment and monitoring of pipelines in GCP environments Participate in code reviews and improve engineering best practices Your skills: Strong proficiency in Python for backend or data processing Hands-on experience with Google Cloud Platform including BigQuery, Cloud Storage, Compute Engine or GKE Experience with Apache Airflow for workflow orchestration Strong experience with ETL and data integration pipelines Experience with Spark Knowledge of NoSQL databases Strong knowledge of relational databases Strong understanding of data architecture Good understanding of data quality Strong understanding of data integration Nice to have skills: Familiarity with Apache Beam We offer you Hybrid work 4 days a month from our client's office (Kraków) Working in a highly experienced and dedicated team Benefit package that can be tailored to your personal needs (private medical coverage, sport & recreation package, lunch subsidy, life insurance, etc.) On-line training and certifications fit for career path Access to e‑learning platforms Social events

Machine Learning Engineer Smadex is a leading advertising technology company founded in Barcelona in 2010 and sold to American-based and stock-listed Entravision in 2018 (NYSE::EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with our revenues over +$100M and consistently growing +40% YoY over the past years. We compete in a highly advanced technology-driven industry, real time bidding programmatic advertising, where Machine Learning and cutting-edge cloud-based big data architectures are the biggest factor in achieving the company’s growth. Our mission is to continue to improve our ad-tech platform to help our clients achieve their programmatic advertising campaign goals, and we want to give our employees a job they’ll love, where they will be challenged to improve results through real-life engineering and data analysis and where everyone’s implication has an impact. Are you ready to be part of the new unicorn? Keep reading! What will you do: Maximize our advertisers return on ad spend: Contribute to selecting the best ad and computing the optimal bid for each of the 4 million ad opportunities per second our platform processes. Modelling: Solve the challenges of the Real Time Bidding environment such as predicting the user response to an ad, the auction’s closing price and much more! Address machine learning hurdles that may not be covered in the scientific literature, like extreme positive sample sparsity and labeling delay. Execute the project end-to-end: Research the state of the art, design, develop and deploy full-stack ML solutions at web scale. You own the logic and the implementation. You build it, you run it. Analyze the data and evaluate your improvements: Deep-dive into model evaluation and AB tests’s statistical significance to ensure our growth is built rigorously on signal, not noise. Contribute with ideas and influence our decisions: Great execution is very valuable but we are also looking for great ideas to add to our product roadmap. What you need to have: A proactive, autonomous, and results-oriented approach to problem-solving. Analytical mind with high attention to detail and the ability to manage multiple priorities. Strong foundation in statistical concepts and techniques: regression, properties of distributions, statistical significance tests, etc. Experience in machine learning and predictive modelling: neural networks, logistic regressions, gradient boosted trees and time series analysis. Good programming skills and familiarity with python and its libraries (pytorch, pandas, numpy, etc.). Competence in data analysis with SQL and pandas. Familiarity with Git. Excellent communication skills both verbal and written in English. Extra points for :-) Master’s degree in Machine Learning, AI, Statistics, Mathematics or Computer Science. Experience building high-performance algorithms in production environments. Competence with Apache Spark as well as Java or Scala programming languages. Familiarity with transformer architectures and LLMs. Experience in digital marketing platforms and user acquisition. Understanding of AWS services such as SageMaker, EMR, EC2, Athena and S3. Reward package: Integrate a highly motivated and young team. Great compensation package. Top location at the heart of Barcelona in a penthouse office with a rooftop terrace, barbeque, and a fully stocked fridge. Work from home: 2 days/week Private Health Insurance Access to LinkedIn Learning Meal vouchers - Tickets Restaurant monthly allowance. Monthly gym allowance: Choose between DiR Gym and Wellhub Monthly TGIF events. Regular team-building events. Fun and friendly work environment with talented marketers and engineers from over 40+ countries And more!