Senior NLP Engineer
London / £90000 - £120000 annum
INFO
SALARY:
£90000 - £120000
LOCATION
London
Permanent
Senior NLP Engineer
UK remote
The Company
They 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 Role
- Own end-to-end delivery of NLP and AI features, from data ingestion through to deployment and optimisation
- Build pipelines to process and analyse multimodal data including audio, video, text, and images
- Develop capabilities across transcription, classification, and modelling at production scale
- Design systems for analysing, supervising, and archiving large volumes of communication data
- Work closely with product and cross-functional teams to define requirements and deliver impactful solutions
- Contribute to communication and knowledge sharing across engineering and business teams
- Strong commercial experience in NLP and machine learning, with models deployed into production
- Experience working with LLMs and/or multimodal AI systems
- Solid understanding of data pipelines, ingestion, and preprocessing for unstructured data
- Proficiency in building scalable systems that handle high-volume data workloads
- Strong software engineering fundamentals and experience in collaborative development environments
- Ability to translate complex technical work into clear business outcomes
- Competitive salary
- Fully remote working within the UK
- Regular team meetups, including annual global gatherings and European events
- Opportunity to work on complex, high-impact AI challenges
- Clear progression within a growing AI and engineering function
- Inclusive and collaborative culture that values diverse perspectives
Apply with your CV to find out more about this opportunity.
CONTACT
Giulia Fronteddu
Recruitment Executive
SIMILAR
JOB RESULTS
Associate, Kubernetes Engineer
New York
$150000 - $180000
+ Data Engineering
Permanent
New York
Associate 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 Out
The 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 Responsibilities
- Deploy and operate production-grade Kubernetes clusters supporting machine learning workloads
- Support internal ML engineers by maintaining infrastructure for model training, experimentation, deployment, and real-time inference
- Build and maintain GPU-enabled infrastructure environments supporting AI workloads
- Deploy and integrate machine learning tooling including Kubeflow, notebook environments, inference services, and model runtime infrastructure
- Work 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 cases
- Improve platform reliability, scalability, observability, and system performance across distributed environments
Required Experience
- Strong hands-on experience with Kubernetes (deploying workloads, not simply cluster administration)
- Experience supporting machine learning infrastructure or ML tooling on Kubernetes
- Understanding of the machine learning development lifecycle (training, experimentation, deployment, inference)
- Programming experience with Python or Go
- Experience working with cloud-native infrastructure environments
- Strong understanding of distributed systems and infrastructure reliability
Preferred Experience
- GPU workload deployment
- NVIDIA operator experience
- Kubeflow or notebook environments
- Kubernetes controllers / CRDs
- Google Kubernetes Engine (GKE)
- Exposure to production AI or LLM deployment infrastructure
Compensation & Location
- Compensation highly competitive with strong bonus structure
- Locations: New York / New Jersey, Toronto, or Dallas
- Primarily onsite environment with some team-level flexibility
- Visa sponsorship available
This 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 Engineer
San Francisco
$200000 - $250000
+ Data Science & AI
Permanent
San Francisco, California
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Forward Deployed Engineer
Location: San Francisco, CA (Hybrid – 3 days onsite)
Compensation: $200,000-$225,000 base + bonus + equity
Work Authorization: No Sponsorship
About the Role
This 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 Do
- Work 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 For
- 3-7+ 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 Backgrounds
- Forward Deployed Engineer
- Growth Engineer
- Product Engineer
- Founding Engineer or early-stage startup engineer
- AI-native B2B software companies
- Engineers who have built customer-facing products from idea to production
Why 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 Here
Fullstack Software Engineer
New York
$200000 - $400000
+ Data Engineering
Permanent
New York
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Fullstack Software Engineer
Location: New York, NY (5 days onsite)
Pay: $200k – $400k Base + Bonus & Equity
No Sponsorship
Overview
A 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 products
- Develop scalable frameworks and abstractions to simplify complex simulation capabilities
- Identify patterns across user workflows, product needs, and system capabilities
- Collaborate closely with product, research, and design teams to translate innovation into usable features
- Own platform architecture decisions from initial design through iteration and scaling
- Build developer-friendly systems that support a wide range of technical users
- Write high-leverage, reusable code that reduces complexity across the product
Must-Have Qualifications:
- Experience building platforms, developer tools, or workflow-heavy software products
- Strong backend or full-stack engineering background with experience in scalable systems design
- Proven ability to simplify complex technical systems into intuitive user experiences
- Experience working cross-functionally with product, research, or customer-facing teams
- Demonstrated ownership of system architecture and end-to-end product delivery
- Ability to operate effectively in ambiguous, fast-paced environments
To Apply for this Job Click Here
Head of AI & Machine Learning
$250000 - $275000
+ Data Science & AI
Permanent
USA
To Apply for this Job Click Here
Head of AI & Machine Learning
$250,000 – $325,000 Base + Equity
Remote, 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 Role
- Define and deliver the AI and machine learning strategy, aligning with product and business objectives
- Design, build, and deploy advanced NLP and document intelligence models for extracting and processing unstructured data
- Lead the full ML lifecycle including data ingestion, feature engineering, model development, evaluation, and deployment
- Explore and implement modern AI approaches such as large language models, embeddings, and retrieval augmented systems
- Build, mentor, and scale a high-performing machine learning team
- Collaborate with product and engineering teams to identify high-impact use cases and deliver scalable solutions
- Establish best practices for model monitoring, observability, and performance optimisation
- Provide technical and strategic guidance to senior stakeholders on AI opportunities and risks
Your Skills & Experience
- Strong commercial experience building and deploying machine learning models, particularly within NLP or document intelligence
- Expertise in processing unstructured or semi-structured data into structured outputs
- Proficiency in Python and modern machine learning frameworks such as PyTorch or similar
- Experience deploying models in production environments using cloud platforms and containerised workflows
- Proven ability to lead and develop technical teams while remaining hands-on
- Strong understanding of the full machine learning lifecycle and best practices in model evaluation and monitoring
- Ability to communicate complex technical concepts to a range of stakeholders
What They Offer
- Competitive salary and equity package
- Fully remote working with flexible arrangements
- Comprehensive healthcare and retirement benefits
- Generous holiday allowance and parental leave
- Clear progression path with the opportunity to shape and lead an AI function
- High impact role within a growing, innovation-focused business
How to Apply
If you are interested in leading cutting-edge AI initiatives in a high-growth environment, apply now to learn more.
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