AI
ENGINEERING RECRUITMENT SOLUTIONS
Harnham specializes in AI Engineering recruitment, offering a deep understanding of the AI technology landscape and its evolving demands. Our services are tailored to identify and attract AI professionals with expertise in machine learning, deep learning, computer vision, natural language processing, and other AI disciplines, ensuring they match the specific needs of your projects and company culture.
With our extensive global network, we access a vast pool of AI talent across various regions, while our local market expertise guarantees a nuanced understanding of each area's unique professional landscape. This dual approach ensures we deliver candidates who not only excel in their technical capabilities but also align with your regional and organizational nuances.
WHY
HARNHAM?
Harnham goes beyond traditional AI recruitment; we act as your strategic data talent partner, understanding your business objectives and technological environment to align our data talent search with your long-term goals.
This approach transforms AI recruitment from a transactional process to a strategic element of your business success. We offer a full spectrum of data talent solutions encompassing talent mapping, market analysis, competitor intelligence, AI salary benchmarking, and strategic workforce planning. Our comprehensive services ensure you can not only attract but also retain the leading minds in AI engineering.Â
OUR
SERVICES
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- Permanent Direct Hire Placement: We find the perfect match for your long-term needs in AI engineering, ensuring candidates who can grow and evolve with your company.
- Contract and Freelance : Our contract recruitment solutions offer flexibility and access to top-tier talent for project-based or interim needs in AI engineering.
- Executive Search: We identify and secure industry-leading executives who can steer your AI initiatives to new heights of success and innovation.
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Discover how our tailored AI recruitment and data talent solutions can empower your business to lead in the AI revolution.Â
Contact us today to start a conversation about your data talent needs and how we can help you achieve your strategic objectives.
JOBS
LATEST AI engineering
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
AI Engineer – Foundation Models
$180000 - $300000
+ Data Science & AI
PermanentMassachusetts
To Apply for this Job Click Here
AI Engineer, Genomics and Foundation Models | Cambridge, MA (onsite four days a week) | $200,000 to $230,000 base + bonus + equity
Build the production ML systems behind a new approach to cancer care, which aims to detect cancer earlier, when it is most curable.
The Company
A well-funded, early-stage AI healthcare company building personalised cancer surveillance. It combines genomic foundation models with EHR and multimodal patient data to predict risk and guide screening. The team, with backgrounds at leading AI labs and research universities, works across US and European hubs and plans to double in size.
The Role
- Design, train and deploy models for cancer biomarker detection, risk stratification and longitudinal patient monitoring.
- Develop reinforcement learning systems that recommend screening and survivorship actions.
- Build scalable ML pipelines for ingestion, feature engineering, training and serving on AWS or GCP.
- Train and fine-tune foundation models on genomic and EHR data, and take them into clinical workflows.
- Partner with clinical and data teams on multimodal dataset curation and governance.
- Build evaluation, A/B testing and monitoring frameworks to clinical-grade standards.
What We’re Looking For
- 3 to 6 years of hands-on experience building and deploying ML models in production.
- Strong Python and PyTorch, JAX or TensorFlow, with hands-on model development and system building.
- Experience with cloud GPU/TPU environments and Docker.
- Solid software engineering fundamentals: testing, CI/CD, version control and code review.
- Clear communication with clinical and non-technical stakeholders, and a BS, MS or PhD in CS, ML, Computational Biology or a related field.
- Nice to have: genomics, imaging or EHR data experience (not required), 0-to-1 startup experience, and publications or open-source contributions.
What’s On Offer
- $200,000 to $230,000 base, a 10 to 15% bonus and equity of up to c.0.2%.
- An early hire with real influence on technical direction and culture.
- Direct work with the Head of AI and leadership.
- Onsite in Cambridge, MA four days a week, with relocation support potentially available.
How to Apply
Apply via the link or contact Tom Brammer at Harnham.

To Apply for this Job Click Here
ML Engineer – Optimization
$250000 - $450000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Machine Learning Engineer, Optimisation | Remote (North America) | $260,000 to $325,000
Drive optimisation across the full ML stack for multimodal video models at one of the leading generative video labs, where the biggest gains come from the low-level systems work.
The Company
A late-stage AI research company building multimodal world models that generate and simulate video and interactive media. Its models compete with, and outperform, systems from much larger labs, while the team remains small enough for every engineer to have outsized impact.
The Role
- Optimise training performance for large multimodal generative models.
- Optimise inference for production image and video generation.
- Work at the systems level with CUDA and C++ to remove performance bottlenecks.
- Bring state-of-the-art models into production alongside research and product teams.
- Prototype quickly and iterate against tight product timelines.
- Choose the optimisation approaches and techniques that deliver the most impact.
What We’re Looking For
- 5+ years of engineering or research experience in machine learning, computer vision or graphics.
- Experience with CUDA, C++ and systems-level performance optimisation.
- Strong knowledge of PyTorch or TensorFlow, and clean, maintainable research code.
- Experience optimising state-of-the-art models at real scale. Multimodal models are preferred, ideally video.
- Strong communication, collaboration and documentation skills, with a track record of sustained impact in previous roles.
- Nice to have: experience at a large-scale AI lab or frontier research organisation, and interest in human-in-the-loop creative tools.
What’s On Offer
- $260,000 to $325,000 for US-based candidates. Ranges outside the US will be confirmed separately.
- Remote across North America and Europe.
- Ownership of performance for frontier video models at a smaller, faster-moving company.
- Target start: February.
- No Sponsorship
How to Apply
Apply via the link or contact Tom Brammer at Harnham.

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Member of Technical Staff – GPU Performance
$200000 - $450000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Research Engineer, GPU Performance (Member of Technical Staff) | Fully Remote (within 6 hours of New York time) | Up to $370,000 + equity
Make frontier world models train faster and run in real time. Your work will directly decide what is computationally possible for one of the leading generative video labs.
The Company
A late-stage AI research company building multimodal world models for video and interactive media. Its latest video generation model outperforms systems from far larger labs. The focus is now moving from static generation to real-time, interactive simulation, with applications ranging from creative tools to robotics.
The Role
- Optimise training throughput across large GPU clusters, improving MFU through custom kernels, FP8/BF16 mixed precision, memory-efficient attention and activation checkpointing.
- Design and maintain distributed training infrastructure, including tensor and context parallelism, FSDP and fault-tolerant multi-node setups.
- Profile and accelerate real-time multimodal inference using CUDA graphs, KV cache optimisation, operator fusion and latency reduction.
- Improve the efficiency and reliability of training infrastructure at scale.
- Contribute across the stack, from low-level kernels to high-level model design.
What We’re Looking For
- 5+ years in ML systems, GPU optimisation or performance engineering. High-trajectory candidates with less experience are also considered.
- Hands-on kernel development in CUDA or Triton.
- Training at scale on thousands of GPUs, or demonstrable efficiency gains from constrained compute in a startup setting.
- Deep knowledge of PyTorch or JAX internals and low-precision techniques (FP8, INT8), plus distributed systems experience with NCCL and model parallelism.
- A hands-on individual contributor with a track record of sustained impact in previous roles.
- Nice to have: torch.compile, inference optimisation with Flash Attention or TensorRT, generative or diffusion model infrastructure, open-source contributions and kernel competitions.
What’s On Offer
- Up to $370,000 plus ISO equity.
- Fully remote, anywhere within six hours of New York time.
- Visa sponsorship available.
- End-to-end ownership of performance across the stack, without big-tech bureaucracy.
- A low-ego, research-led team that ships quickly.
How to Apply
Apply via the link or contact Tom Brammer at Harnham.

To Apply for this Job Click Here
Senior AI Engineer
$180000 - $400000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior AI Engineer | New York (onsite four days a week) | $155,000 to $200,000 base + 40%+ bonus
Become the technical owner of AI at a top-tier derivatives fund, with work that directly shapes revenue-generating investment workflows.
The Company
A global hedge fund specialising in derivatives and multi-asset strategies, known for its engineering strength and research-led culture. It is small enough that one senior engineer can set firmwide direction, with direct access to portfolio managers, quants and leadership.
The Role
- Define the technical direction and roadmap for AI across the firm, prioritising use cases with PMs, quants and engineering.
- Build production LLM products and agentic systems with multi-step reasoning and secure tool execution.
- Build MCP servers and secure integrations between agents and internal data, APIs and research tools.
- Own the full lifecycle: model selection, evals, observability, deployment and fail-safes.
- Turn rapid prototypes into reliable production systems.
- Set standards for responsible AI, and mentor engineers as the team grows.
What We’re Looking For
- 5+ years building and deploying production AI/ML systems as a hands-on engineer.
- Strong software engineering in Python, with solid systems design.
- Production experience with LLMs, agents, RAG, tool calling, and evaluation and monitoring at scale.
- Experience designing or operating MCP servers or similar integration layers.
- A degree in CS or a related field (MS or PhD preferred), and a track record of sustained impact in previous roles.
- Nice to have: experience in high-security data environments, AI integrated with quant workflows, and knowledge of derivatives or volatility.
What’s On Offer
- $155,000 to $200,000 base with an annual incentive plan. Total compensation ican exceed $300k
- Technical ownership of the firm’s AI evolution.
- A balance of deep engineering, applied research and strategy.
- Onsite four days a week in New York or London.
- H1B sponsorship is not available.
How to Apply
Apply via the link or contact Tom Brammer at Harnham.

To Apply for this Job Click Here
Director of AI
$235000 - $275000
+ Data Science & AI
PermanentNew York
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Director of AI | Remote, US (Eastern or Central time preferred) | $235,000 to $275,000 base + 20% bonus
Give AI real leadership and scale inside a global business where the CEO is fully committed to deploying AI across the organisation.
The Company
An established global travel management company now under new ownership, investing heavily in data and AI. A small team is working on a global-scale data problem with an ambitious roadmap that spans internal tools, a customer-facing data product and a large servicing operation.
The Role
- Own AI strategy in partnership with the executive leading Data and AI.
- Take over and expand the agentic capability in the external data product, including MCP strategy, integrations and recommendations.
- Deploy AI across omnichannel customer servicing to deflect and resolve inquiries.
- Build the team: start with contractors, then hire ML and AI engineers.
- Prototype hands-on, and judge ROI to separate genuine AI opportunities from process fixes.
- Lead adoption across the business through town halls and internal education.
What We’re Looking For
- A track record of shipping production AI systems end to end, with a hands-on role in the build.
- Agentic AI depth: agent harness engineering, multi-model orchestration, agent-to-agent communication and MCP.
- Python, LangChain, LangGraph and Langfuse, with both open-source and proprietary tooling.
- Experience managing engineering teams and building AI or ML teams.
- Working knowledge of AI regulation, such as the EU AI Act, applied to agentic system design.
- Nice to have: a path into AI from ML or software engineering. Staff-level individual contributors may be considered.
What’s On Offer
- $235,000 to $275,000 base plus 20% bonus.
- Fully remote within the US.
- CEO-level sponsorship for AI across the organisation.
- Ownership of a small, focused team built to your roadmap.
- US citizens and green card holders only. Visa sponsorship is not available.
How to Apply
Apply via the link or contact Tom Brammer at Harnham.

To Apply for this Job Click Here
Lead Software Engineer, AI
$180000 - $200000
+ Data Science & AI
PermanentMinnesota
To Apply for this Job Click Here
Lead Software Engineer, AI | Eagan, MN (hybrid); also Ann Arbor, MI, Toronto, ON or Frisco, TX | $180,000 to $200,000 base + 15% bonus
Set the technical direction for the AI agent platform behind an enterprise legal AI product used by professionals in highly regulated environments.
The Company
A global professional information and technology company with proprietary legal content and an established enterprise customer base. It is investing heavily in agentic AI and AI-native engineering.
The Role
- Set architecture across AI agent infrastructure, runtime and tooling.
- Build and scale production agent systems on modern LLMs and agent frameworks.
- Implement observability, tracing, evaluation pipelines and drift detection.
- Modernise deployment with feature flagging, progressive rollouts and release automation.
- Improve production reliability, incident response and operational readiness.
- Lead architecture reviews and RFCs, and mentor senior engineers.
What We’re Looking For
- 8+ years of software engineering, with 5+ at senior or lead level.
- Hands-on AI and LLM product development, including agent frameworks and orchestration.
- Python, PostgreSQL, AWS and distributed systems architecture.
- Production observability, incident ownership and progressive delivery practices.
- Technical leadership and mentorship without day-to-day direction.
- Nice to have: AWS Bedrock AgentCore, frontier model integration, eval frameworks, and legal, tax or regulated-domain experience.
What’s On Offer
- $180,000 to $200,000 base plus 15% bonus (Canada: CAD $140,000 to $165,000). Equity: [TBC].
- A small, senior, AI-native team that makes heavy use of agentic development tools.
- Influence over how production AI agents are built and scaled across the organisation.
- Hybrid working, with onsite days [TBC].
- US citizens and green card holders only. Visa sponsorship is not available. Canadian candidates are considered for Toronto.
How to Apply
Apply via the link or contact Tom Brammer at Harnham.

To Apply for this Job Click Here
Forward Deployed Engineer – AI
Washington
$180000 - $300000
+ Data Science & AI
PermanentWashington, District of Columbia
To Apply for this Job Click Here
Senior Forward Deployed Engineer, U.S. Government | Greater Washington, DC (onsite 3 to 4 days a week) | c.$325,000 total compensation
Join a government AI team at the ground floor as it scales from 3 to 10+ engineers, building and deploying AI systems for high-visibility defence customers in months, not years.
The Company
A fast-growing AI company that supplies post-training data to leading frontier AI labs and reliability work to enterprises. Government work is core to its strategy, and the forward deployed team leads its national security work.
The Role
- Embed with government customers to find high-value problems, then build and deploy agents or AI applications that solve them.
- Take pilots from prototype to production within a few months.
- Architect multi-agent systems, tool-using agents, RAG workflows and human-in-the-loop autonomy.
- Build data curation and evaluation pipelines for model training and improvement.
- Spot expansion opportunities, and recognise when to move on from a dead end.
- Provide technical leadership and mentorship to other engineers.
What We’re Looking For
- US citizenship and eligibility for a security clearance. TS/SCI is preferred and Secret is considered.
- Based in, or willing to relocate to, the DC area and work onsite 3 to 4 days a week.
- Hands-on experience building agents and deep learning models, fine-tuning LLMs and deploying applications to production.
- Customer-facing engineering experience, ideally as a forward deployed engineer.
- Experience delivering into government environments, including ATO, accreditation and classified networks.
- Nice to have: defence technology or intelligence community background, polygraph, and RL or simulation experience.
What’s On Offer
- c.$325,000 total compensation: typically $200,000 base, a $50,000 annual bonus paid quarterly and options worth $300,000 over four years. The base band is $150,000 to $250,000.
- Clearance sponsorship through an existing facility clearance.
- High-visibility national security projects with exposure to frontier lab work.
- A fast hiring process.
How to Apply
Apply via the link or contact Tom Brammer at Harnham.

To Apply for this Job Click Here
ML Engineer
$150000 - $250000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
ML / AI Engineer | New York, Chicago, Atlanta or Fort Washington, PA (hybrid, four days onsite) | $140,000 to $225,000 base + 20% bonus
Own the intelligence layer of an analytics engine that shapes how a major US real estate owner buys and sells its assets.
The Company
One of the largest owners and operators of last-mile logistics real estate in the US, backed by a leading global investment firm. A small, senior-led innovation team is building predictive and AI tools that put institutional-grade analytics in the hands of investment and asset management teams.
The Role
- Design knowledge graphs that encode relationships across markets, assets, tenants and transactions.
- Build retrieval pipelines (RAG, hybrid search, structured queries) that give LLMs accurate grounding.
- Develop agentic and rule-based LLM workflows, owning prompt engineering, evals and reliability.
- Build ETL/ELT pipelines for property, leasing, macro and alternative data, each with clear ownership and quality SLAs.
- Build lineage and confidence scoring so analysts always know where a number came from.
- Develop low-latency APIs that expose ML outputs to front-end applications.
What We’re Looking For
- 4+ years in ML engineering, backend engineering or a role spanning both.
- Production experience shipping LLM applications, including RAG pipelines and eval frameworks.
- Strong Python skills, with end-to-end ownership of backend services and APIs.
- Large-scale data pipelines with Spark, Databricks, Kafka, Airflow or equivalent.
- Experience with knowledge graphs or graph databases such as Neo4j.
- Nice to have: fintech, investment management or hedge fund experience, and startup or scale-up experience.
What’s On Offer
- $140,000 to $225,000 base plus 20% bonus.
- Ideas move from concept to production in days.
- Direct partnership with the investment teams who use your work.
- Influence over architecture and the platform’s long-term direction.
- No Visa sponsorship
How to Apply
Apply via the link or contact Tom Brammer at Harnham.

To Apply for this Job Click Here
Senior AI Consultant
$23500 - $230000
+ Data Science & AI
PermanentIllinois
To Apply for this Job Click Here
Senior AI Consultant | Chicago, IL (onsite four days a week) | $150,000 to $200,000 base + up to 20% bonus
Build a private equity firm’s AI capability from the ground up, with a clear first-year mandate: solve the firm’s ten highest-priority workflows.
The Company
A Chicago-based private equity firm partnering with founder- and family-owned middle-market companies. The team is close-knit, and senior leadership is already experimenting with AI. It now wants a practitioner to take that work further.
The Role
- Identify and prioritise high-value workflows across investment, operations, investor relations, reporting and back office.
- Design and build AI tools, agents and automated workflows using LLMs.
- Roll out solutions, develop training materials and drive adoption across teams.
- Build feedback mechanisms to track usage and improve tools over time.
- Define the firm’s document infrastructure and standards, including taxonomy and naming.
- Shape the firm’s longer-term AI strategy alongside the Chief Digital Officer.
What We’re Looking For
- At least 3 years in AI and automation, business intelligence, consulting or a related field. Three to six years is ideal.
- Hands-on experience building AI agents, LLM-based tools and workflow automation on platforms such as Anthropic, OpenAI, Google or Microsoft.
- Experience with Microsoft 365 data workflows and platforms such as Databricks or Snowflake.
- A proven record of securing stakeholder buy-in and leading adoption of new tools.
- A bachelor’s degree in Engineering, Information Systems, Business Analytics or a related field.
- Nice to have: management consulting or digital transformation experience, finance or PE exposure, and data governance experience.
What’s On Offer
- $150,000 to $200,000 base plus up to 20% bonus.
- A greenfield role with high ownership and direct exposure to senior leadership.
- Onsite gym and catered daily lunch.
- Onsite in Chicago Monday to Thursday.
- No Visa Sponsorship
How to Apply
Apply via the link or contact Tom Brammer at Harnham.

To Apply for this Job Click Here
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