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Forward Deployed Engineer (AI and Knowledge Graphs)

London – UK Remote

The Company
They are a Series A funded AI startup building a platform that brings together vast, fragmented scientific data into an interactive knowledge graph. Their technology maps cause and effect relationships between diseases, proteins and drugs to accelerate drug discovery and research. With strong commercial traction and a growing client base across pharma, biotech and research organisations, they are scaling a small, highly collaborative team across engineering and solutions.

The Role
As a Forward Deployed Engineer, you will work directly with end clients to take the platform from trial through to production deployment, acting as a technical partner throughout the journey. You will balance hands on engineering with customer facing problem solving, translating complex requirements into robust, scalable solutions.
Key responsibilities include:

• Leading technical delivery for customer integrations, from scoping through to production rollout
• Working closely with end users ranging from highly technical teams to more non technical stakeholders
• Designing and building AI driven workflows, including LLM and retrieval augmented generation use cases
• Integrating knowledge graph data into customer environments using APIs, graph databases or analytical platforms
• Partnering with a solutions consultant who brings deep industry expertise, while you own technical feasibility and execution
• Feeding recurring customer needs back into the core product to support long term scalability

Your Skills and Experience
You will bring a strong engineering foundation and enjoy working close to customers in fast paced, ambiguous environments.
Key requirements include:

• Strong commercial experience building and deploying AI or LLM powered systems into production
• Hands on experience designing, building and debugging LLM workflows, including familiarity with RAG approaches
• Experience working with modern data platforms and warehouses such as Snowflake or BigQuery
• Exposure to graph databases and knowledge graphs is highly desirable, (Neo4J)
• Comfort working in small teams or startup environments, with a proactive, delivery focused mindset
• Ability to communicate clearly with both technical and non technical stakeholders

What They Offer

• The chance to work on meaningful technology with real impact on healthcare and drug discovery
• A small, collaborative team environment with direct access to senior leadership
• Genuine flexibility around location and working style
• Strong scope for career growth as the company scales

How to Apply
If you are excited by customer facing engineering, applied AI and working in a high impact startup environment, apply now to learn more about this opportunity.

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Lead Product Analyst

London (Hybrid)
Up to £100,000 + Benefits

I am recruiting for a Lead Product Analyst to join a fast-growing fintech business, working on a multi-product consumer app used by over a million customers.

This is a high-impact role where you’ll play a key part in shaping product strategy through data, working closely with product, growth, and engineering teams to improve user experience and drive performance.

The Role

• Lead product analytics across a large-scale consumer app
• Analyse user behaviour, engagement, and lifecycle trends
• Own the end-to-end experimentation process (A/B testing)
• Build dashboards, metrics, and reporting frameworks
• Identify growth opportunities and product improvements
• Partner with product and engineering teams to influence decision-making
• Translate complex analysis into clear, actionable insights

What They’re Looking For

• 5+ years’ experience in data or product analytics
• Strong experience with experimentation (A/B testing, hypothesis testing)
• Ability to turn complex data into clear business recommendations
• Experience working in product-led or high-growth environments
• Strong stakeholder management and communication skills
• Exposure to fintech or consumer apps (nice to have)

Benefits

• Competitive salary
• Hybrid working
• High-impact, strategic role
• Opportunity to shape product direction at scale
• Collaborative, fast-paced environment

How to Apply

Please send your CV to Keji Adebari via the Apply link or message me directly

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Data Scientist

Eindhoven, hybrid (2 days per week on site) | €78,000 base salary, up to €84,000 total package

This is a standout opportunity for a client facing Data Scientist who enjoys combining hands on analytics with advisory work. You will sit at the intersection of data science, marketing and consulting, helping translate complex modelling into clear, commercially relevant insights for senior stakeholders. With strong demand for data driven marketing projects, this role offers genuine impact and visibility.

The Company

They are a large, established media and marketing organisation with a strong data culture and a core data function of around 50 specialists. Alongside this, a small centralised data science team is being built to support high impact internal and client projects. The environment blends the pace of consulting with the depth of advanced analytics, working closely with marketing and media teams.

The Role

• Act as a client facing Data Scientist supporting a growing portfolio of marketing and media projects.
• Translate business and marketing questions into robust data science approaches and clear insights.
• Lead and contribute to projects such as marketing mix modelling, lift studies, attribution and experimentation.
• Apply clustering and segmentation techniques to support audience and performance strategies.
• Advise stakeholders on measurement frameworks, methodologies and implementation.
• Balance hands on analysis and modelling with client consulting and communication.

Your Skills and Experience

• Strong commercial experience as a Data Scientist or Data Analyst in a client facing or advisory environment.
• Proven ability to communicate complex analytical outputs to non technical stakeholders.
• Experience working on marketing or media related analytics such as MMM, attribution, experimentation or similar.
• Confident using Python and SQL for analysis and modelling.
• Solid statistical modelling capability without needing to be a dedicated machine learning engineer.
• Fluent Dutch and English, with the ability to operate professionally in both languages.

What They Offer

• No regular client travel, with clients invited on site for workshops and reviews.
• Strong career development within a growing data science and consulting function.

How to Apply

Apply now to discuss how this client facing Data Scientist role could be the next step in your data and consulting career.

This is a standout opportunity for a client facing Data Scientist who enjoys combining hands on analytics with advisory work. You will sit at the intersection of data science, marketing and consulting, helping translate complex modelling into clear, commercially relevant insights for senior stakeholders. With strong demand for data driven marketing projects, this role offers genuine impact and visibility.

The Company

They are a large, established media and marketing organisation with a strong data culture and a core data function of around 50 specialists. Alongside this, a small centralised data science team is being built to support high impact internal and client projects. The environment blends the pace of consulting with the depth of advanced analytics, working closely with marketing and media teams.

The Role

• Act as a client facing Data Scientist supporting a growing portfolio of marketing and media projects.
• Translate business and marketing questions into robust data science approaches and clear insights.
• Lead and contribute to projects such as marketing mix modelling, lift studies, attribution and experimentation.
• Apply clustering and segmentation techniques to support audience and performance strategies.
• Advise stakeholders on measurement frameworks, methodologies and implementation.
• Balance hands on analysis and modelling with client consulting and communication.

Your Skills and Experience

• Strong commercial experience as a Data Scientist or Data Analyst in a client facing or advisory environment.
• Proven ability to communicate complex analytical outputs to non technical stakeholders.
• Experience working on marketing or media related analytics such as MMM, attribution, experimentation or similar.
• Confident using Python and SQL for analysis and modelling.
• Solid statistical modelling capability without needing to be a dedicated machine learning engineer.
• Fluent Dutch and English, with the ability to operate professionally in both languages.

What They Offer

• No regular client travel, with clients invited on site for workshops and reviews.
• Strong career development within a growing data science and consulting function.

How to Apply

Apply now to discuss how this client facing Data Scientist role could be the next step in your data and consulting career.

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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!

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Staff 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

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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.

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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

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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

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Principal Machine Learning Engineer – ML Platform

REMOTE – US

$180,000-$230,000 + Equity

We’re partnered with a scaling AI‑driven technology company building large‑scale, production‑grade ML systems used in real‑time decisioning. They’re seeking a Senior Machine Learning Engineer who loves production ML over research, with an emphasis on distributed compute, reliability, and end‑to‑end ownership.

This is a role for someone who enjoys shaping platform architecture while still being hands‑on.

What you’ll be doing

• Designing, training, and deploying high‑scale ML models used in live systems
• Building distributed training pipelines (PyTorch, Ray)
• Owning the ML lifecycle across feature engineering, training, evaluation, inference, monitoring
• Improving ML reliability, observability, and reproducibility
• Working closely with engineering, SRE, and product to shape platform direction
• Contributing to ML architecture standards, CI/CD, and testing frameworks

What they’re looking for

• Strong experience delivering production ML systems end‑to‑end
• Expertise with Python, PyTorch, distributed compute (Ray, Spark)
• Background in large‑scale data processing and MLOps tooling
• Ability to diagnose production issues and drive architectural improvements
• Experience with event‑driven ML and model deployment frameworks is a plus

Why this role

• High ownership of ML platform direction
• Complex, real‑world ML workloads at meaningful scale
• Opportunity to improve and evolve existing infrastructure
• Equity + strong compensation package

HOW TO APPLY

If you’re passionate about building robust, scalable ML systems that drive real business impact, apply now.

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Senior Machine Learning Engineer
Fully Remote, United States | $200,000 to $230,000 base plus equity and benefits

This is a high impact opportunity to shape how Vision Language Models are applied in real world, production grade systems. You will play a central role in building and scaling VLM driven intelligence that connects edge devices with cloud based reasoning, influencing both technical direction and product outcomes in a fast moving environment.

The Company
They are a technology led organisation building intelligent, connected solutions that blend advanced machine learning with real world operational workflows. Their platform is designed to turn complex visual data into actionable insights at scale. The team brings together expertise across machine learning, computer vision, embedded systems and data science, with a strong focus on building systems that perform reliably in production.

The Role

• Own the design and development of cloud based Vision Language Model pipelines used for large scale labelling and annotation
• Drive decisions on what visual signals, metadata and contextual information are captured from edge devices to maximise VLM performance
• Build and evaluate end to end inference systems, including prompt design, fine tuning strategies and model benchmarking
• Partner closely with embedded systems, computer vision and data science teams to close the loop between devices and cloud intelligence
• Stay at the forefront of the VLM landscape, assessing and integrating commercial and open source models as capabilities evolve

Your Skills and Experience

• Strong commercial experience as a machine learning engineer working with computer vision, LLMs or Vision Language Models
• Hands on experience evaluating, fine tuning or deploying VLMs in production environments
• Deep understanding of how edge constraints such as bandwidth, latency and compute influence model design
• Proficiency with Python, PyTorch and modern cloud based inference and evaluation tooling
• Practical expertise in prompt engineering and model evaluation, with a focus on measurable performance improvements
• Comfortable owning problems end to end and collaborating across hardware and software teams

What They Offer

• Competitive base salary of $200,000 to $230,000 plus equity
• Fully remote working across the United States
• Comprehensive benefits including medical, dental and vision cover
• Flexible paid time off and a strong culture of autonomy and trust
• The opportunity to be a technical leader in the application of Vision Language Models at scale

How to Apply
If you are excited by the challenge of building production grade VLM systems with real world impact, apply now to learn more about this opportunity.

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