Forward Deployed Senior Data Scientist
/ $150000 - $175000 annum
INFO
SALARY:
$150000 - $175000
LOCATION
Permanent
Forward Deployed Senior Data Scientist
Salary: $175,000+ (Depending on Experience)
Locations: Remote (with 25% travel)
THE COMPANY
A high‑growth, mission‑focused technology organisation is expanding its advanced analytics and AI function. Operating in a complex, data‑rich environment, the team builds scalable, high‑impact AI systems that support critical decision‑making and deliver tangible operational value. The environment is fast‑paced, innovative, and ideally suited to someone who thrives in high‑autonomy, high‑impact roles.
THE ROLE
As a Forward Deployed Senior Data Scientist, you will work directly with stakeholders to translate complex problems into deployable AI solutions. You'll use a combination of proprietary and commercial datasets to uncover insights, build models, and deploy production‑ready systems that support strategic decision‑making.
This role blends hands‑on data science, AI engineering, rapid prototyping, and end‑to‑end delivery ideal for someone who is highly analytical, scrappy, and passionate about solving complex technical challenges with real‑world impact.
KEY RESPONSIBILITIES
- Build advanced AI/ML/DS models and systems tailored to high‑value operational challenges
- Develop new AI‑driven technology stacks designed for specific customer use cases
- Lead end‑to‑end delivery of AI projects, from scoping to production deployment
- Partner with research, engineering, and software teams to deliver robust AI products
- Define architectural standards and project roadmaps for scalable AI systems
- Create evaluation frameworks for AI deployments, including performance, reliability, and observability
- Mentor junior team members and help shape a culture of excellence and innovation
- Stay current with emerging techniques in AI, LLMs, and agentic systems; drive adoption of best practices
- Build agentic AI systems leveraging reasoning frameworks and orchestrators
- Act as a technical leader, translating high‑level objectives into actionable technical plans
EXPERIENCE REQUIRED
- Extensive experience designing, developing, and delivering AI/ML solutions end‑to‑end
- Strong software and data science fundamentals (Python essential)
- Experience building production‑grade AI systems and integrating them into customer environments
- Ability to collaborate across research, engineering, and product teams
- Experience working with large‑scale datasets and cloud‑based ML deployments
- Strong organisational skills and the ability to communicate complex ideas clearly
- Proven ability to operate independently in fast‑moving environments and manage competing priorities
- Passion for rapid prototyping, experimentation, and building high‑impact solutions
DESIRABLE EXPERIENCE
- Publications in top AI/ML/NLP or decision science venues
- Experience developing evaluation systems for LLMs or agentic models
- Experience with fine‑tuning, post‑training, or advanced model adaptation
- Familiarity with MLOps, monitoring, deployment, and large‑scale model management
- Track record of converting research prototypes into production systems
THE OFFER
- Competitive compensation (around $175,000 base depending on experience)
- Opportunity to work on deeply impactful, high‑scale AI challenges
- High degree of autonomy, technical ownership, and end‑to‑end influence
- A fast‑paced, innovation‑driven environment with strong technical peers
- Exposure to cutting‑edge modelling, LLMs, and agentic system development
CONTACT
Luc Simpson-Kent
Business Manager - Data, AI/ML & Tech
SIMILAR
JOB RESULTS
Principal Machine Learning Engineer
$170000 - $210000
+ Data Science & AI
Permanent
New York
Principal Machine Learning Engineer
New York | Hybrid | Principal IC
$170,000 to $210,000
Join a world‑class AI & ML team building production‑grade Generative and Agentic AI systems at enterprise scale.
The role
As a Principal ML Engineer, you’ll sit at the sharp end of applied AI, architecting and shipping LLM, RAG and agentic platforms used across the business. This is a hands‑on senior IC role with real influence: setting engineering standards, mentoring senior engineers, and shaping AI strategy alongside leadership.
What you’ll be doing
- Designing, deploying and operating LLMs, RAG pipelines and autonomous agents
- Building scalable Python backends & APIs (FastAPI, async systems)
- Owning LLMOps/MLOps, cloud AI infrastructure and observability
- Driving best practice across ML, software engineering and platform design
What we’re looking for
- 10+ years in ML / software / data roles, expert Python engineer
- Strong experience with GenAI frameworks, cloud platforms (AWS/GCP/Azure)
- Production mindset: distributed systems, reliability, scalability
- Comfortable influencing teams and leaders without line management
Why apply
- Principal‑level impact and autonomy
- Cutting‑edge AI at real scale (not POCs)
- High‑trust, high‑performance engineering culture
Apply NOW!
Staff AI Engineer
$200000 - $600000
+ Data Science & AI
Permanent
New York
To Apply for this Job Click HereStaff AI Engineer
(Hands‑on, LLM Platforms, Technical Lead)
Location: New York
Working model: On‑site
Package: Competitive base + performance‑linked upside
The Opportunity
An established, technology‑driven organisation is building a central AI engineering capability to support complex, data‑intensive decision‑making across the business.
This is a high‑impact individual contributor role for a Senior AI Engineer who enjoys operating close to the commercial core. You’ll take ownership of critical AI systems from architecture through to deployment, working within a small, trusted technical group with direct access to senior stakeholders.
The environment suits someone who thrives in low‑bureaucracy, high‑autonomy settings, where AI is expected to deliver real, measurable value, not experiments for experimentation’s sake.
The Role
You will act as the technical lead for advanced AI tooling, owning system design and delivery across a range of internal use cases.
Responsibilities include:
- Designing and building LLM‑based applications, including retrieval‑augmented generation and agent‑style workflows
- Owning end‑to‑end system architecture, performance, and scalability
- Developing AI tools to support research, monitoring, knowledge discovery, and decision support
- Establishing evaluation and quality frameworks to ensure AI outputs meet high reliability standards
- Reviewing code, setting engineering standards, and supporting the development of other engineers
- Partnering closely with non‑technical users to translate complex workflows into intuitive AI products
- Assessing third‑party tooling and platforms where appropriate
This is a deeply hands‑on role with real ownership.
What We’re Looking For
Core requirements:
- Strong software engineering background (Python preferred)
- Proven experience building production AI systems, particularly modern LLM applications
- Solid understanding of:
- Prompt design and iteration
- Embedding pipelines and vector databases
- RAG architectures and tool‑use patterns
- Model evaluation and monitoring
- Experience deploying AI products used by non‑technical stakeholders
- Comfortable setting technical direction while remaining a builder
Nice to have:
- Exposure to complex analytical or commercial domains
- Experience working in small, senior engineering teams
- Background in cloud‑native environments
Why Join?
- Ownership of mission‑critical AI systems
- Direct visibility of impact, your work will be used day‑to‑day
- Modern AI stack with freedom to make technical decisions
- Long‑term scope to shape and grow the AI engineering function
To Apply for this Job Click Here
Machine Learning Engineer, LLM
$180000 - $220000
+ Data Science & AI
Permanent
New York
To Apply for this Job Click Here
Machine Learning Engineer, LLM (Applied AI/NLP)
Location: New York (Hybrid)
Compensation: $180K-$220K base + equity + bonus
About the Company
Join a fast-growing AI startup transforming how development teams build and scale modern applications. Their intelligent platform uses LLMs to automate coding tasks, streamline workflows, and boost developer productivity.
The Role
Lead the design and deployment of advanced NLP/LLM solutions that directly impact engineering workflows code generation, documentation, and review automation. Collaborate with senior leadership to take models from research to production.
Key Responsibilities
- Build and fine-tune LLMs for developer-focused use cases
- Optimize models using prompt engineering, RAG, and inference techniques
- Collaborate across teams to align AI capabilities with product goals
- Mentor junior ML engineers and contribute to internal innovation
What You’ll Bring
- 2-8 years in applied NLP/LLM development
- Strong Python and ML stack (PyTorch, HuggingFace, etc.)
- Experience with large code/text datasets and transformer models
- Advanced degree in CS, AI, or NLP (PhD preferred)
- Bonus: Publications in top-tier ML/NLP conferences
Why Join?
- Competitive pay + equity + bonus
- Direct impact on product innovation and IP
- Full benefits: health, vision, dental, 401(k), generous PTO
How to Apply
To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.
To Apply for this Job Click Here
Lead AI Engineer
Pittsburgh
$175000 - $200000
+ Data Science & AI
Permanent
Pittsburgh, Pennsylvania
To Apply for this Job Click Here
Lead AI Engineer
$200,000
Location: Pittsburgh, PA (Onsite)
THE COMPANY
A high‑growth, mission‑driven technology organisation is expanding its advanced AI function. The team specialises in building intelligent autonomous systems designed to operate across complex workflows and high‑stakes environments. Engineers here work on cutting‑edge agentic technologies with significant ownership and impact.
THE ROLE
As the Lead AI Engineer, you’ll guide a specialised engineering team responsible for designing, building, and deploying next‑generation agentic AI systems. You will lead technical strategy, architecture decisions, and hands‑on development, while also mentoring engineers and driving best‑in‑class standards for performance, reliability, and scalability.
You’ll oversee the development of agents capable of long‑horizon planning, tool‑use, memory, and coordination across multi‑agent environments, ensuring they can operate effectively in real‑world mission‑critical settings.
KEY RESPONSIBILITIES
- Lead the design and development of agentic AI systems from conception through production
- Architect multi‑agent systems with planning, routing, memory, and complex tool‑use
- Build modular “skills” and components that plug into backend systems and data pipelines
- Establish evaluation frameworks, telemetry systems, and observability tools for agent behaviour
- Guide Agile processes, technical planning, and day‑to‑day engineering execution
- Partner with product and delivery teams to solve complex operational challenges
- Provide mentorship and technical leadership to engineers and data scientists
EXPERIENCE REQUIRED
- Several years of experience building and deploying ML or LLM‑powered systems in production
- Experience leading or mentoring engineering teams
- Demonstrated expertise in LLM integration and agentic system development
- Strong Python engineering skills
- Hands‑on experience with cloud infrastructure (AWS preferred)
- Familiarity with LLM algorithms, scaling patterns, and system reliability
- Ability to operate autonomously in high‑pace, ambiguous environments
- Comfortable with Git and modern engineering workflows
DESIRABLE EXPERIENCE
- Experience designing or deploying complex multi‑agent architectures
- Exposure to startup or high‑growth engineering cultures
- Experience with GenAI coding tools or best practices for agentic systems
- Eligibility to work in secure or sensitive environments
THE OFFER
- Ownership over next‑generation agentic AI strategy and architecture
- Opportunity to lead a high‑impact engineering team
- Work with cutting‑edge LLM and agentic technologies
- Fast‑paced environment with strong technical autonomy
To Apply for this Job Click HereCAN’T FIND THE RIGHT OPPORTUNITY?
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