Machine Learning Jobs

Anthropic · London · £260,000 – £630,000 pa

Blends reinforcement learning research with engineering, building scalable RL infrastructure, distributed training across GPU clusters, and novel training environments for agentic LLMs. Involves profiling, optimization, caching, and debugging distributed systems, with close collaboration between research and production teams.

Anthropic · London · £190,000 – £230,000 pa

Lead and grow a distributed EMEA team of Applied AI Architects, setting pre-sales standards and acting as technical lead on strategic digital-native accounts. The role involves use-case scoping, POCs, demos and ROI validation for Claude Enterprise, Claude Code and the Claude API, while guiding customers through GDPR, EU AI Act and data residency requirements alongside Sales, Product and Engineering.

PhysicsX · New York, United States · US$90,000 – US$130,000 pa

Customer-facing role owning the full account journey for industrial clients, from onboarding and change management to executive reviews and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate engineering challenges into AI solutions, while building internal tooling to scale account operations.

PhysicsX · London

Build the simulation side of Large Physics Models, generating multi-fidelity CFD data to train large-scale ML models. Develop solvers in differentiable or GPU-native frameworks like JAX or Warp, using commercial and open-source CFD tools, while collaborating closely with ML researchers in a research team.

Isomorphic Labs · Cambridge, United States

First Technical Program Manager hire for the Drug Design and Medical Research function, supporting small molecule drug discovery programs in Cambridge, MA while integrating with the London office. Responsibilities span program planning, timeline monitoring, risk reporting, budget forecasting and spend tracking, CRO and external partner liaison, and embedding operational processes across teams.

Isomorphic Labs · Cambridge, United States

Lead the safety assessment strategy for small molecule and biologic drug discovery projects from inception to regulatory submission, designing screening cascades and mechanistic experiments. Partner with machine learning researchers to build predictive toxicology models and manage external CROs for all wet-lab data generation, while mentoring junior scientists.

NVIDIA · United Kingdom

Act as a trusted technical advisor to government clients and partners, translating public sector missions into AI-driven solutions using NVIDIA's hardware and software. Lead hands-on deployments, develop proof-of-concepts, and create technical resources that bridge policy goals with AI implementation. Collaborate across engineering, product, and sales teams to drive adoption of sovereign AI and agentic systems in government services.

Databricks · London

Customer-facing role building and productionizing data and AI solutions on the Databricks platform, owning architecture and design decisions for end-to-end systems spanning data engineering, ML/AI and application development. Embeds with client teams, leads technical delivery with project managers, and contributes reusable frameworks back to the product. Involves up to 20% travel to customer sites.

Databricks · London

New-grad engineers join a cohort to build infrastructure and products across backend, full stack, infrastructure, databases, systems, cloud and customer-facing teams. You own the full development lifecycle — design, development, testing and production operations — with a dedicated mentor and a focus on reliability, scalability and security.

Experis · London · £450 – £500 pd

Delivery-focused project manager supporting a computer vision AI capability, working across the client, a UK development contractor and wider stakeholders. The role covers governance, plans, risks, dependencies and costs, keeping delivery priorities aligned to client needs in a fast-moving, stakeholder-heavy environment. Requires DV (or possibly SC) clearance and travel to Cambridge and London.

AI Security Institute · London · £65,000 – £145,000 pa

The Chem Bio team researches, evaluates and mitigates chemical and biological risks from frontier AI systems, running capability evaluations, building benchmarks and datasets, and developing safeguards and monitoring methods. Findings are shared with frontier AI companies, UK officials and allied governments to inform deployment and policy. The role is open to research engineers and scientists at all seniority levels, with appointment conditional on obtaining UK Government Developed Vetting clearance.

HAYS Specialist Recruitment · London · £70,000 – £90,000 pa

Designs and builds modern machine learning and AI services within a collaborative data team, developing and optimising data pipelines across a cloud analytics platform. Works with PySpark, Python, SQL, Databricks or Snowflake on AWS, supporting ML and GenAI infrastructure in agile squads.

AI Security Institute · London

Senior individual contributor building the shared platform, tooling and infrastructure for an interdisciplinary chem-bio research team, including LLM-based agent systems and evaluation frameworks. Works closely with researchers to translate varied needs into maintainable Python systems, while contributing to engineering standards and mentoring peers without line management.

University of Cambridge · Cambridge · £63,606 – £67,468 pa

Contribute to research and teaching in artificial intelligence and machine learning as a faculty member, developing novel models, abstractions and architectures. The role involves supervising Masters and PhD students, creating graduate content for the MPhil in Advanced Computer Science, and teaching undergraduate machine learning and mathematics. The appointee is expected to secure research funding and build a world-class team, collaborating across computer science subdisciplines and with fields such as mathematics, engineering and physics.

HAYS Specialist Recruitment · Eastleigh · £50,000 – £70,000 pa

Builds and supports data products on a modern cloud data platform, developing and optimising pipelines and integrating varied sources with strong quality standards. Works in agile squads with data and AI engineers, scientists and architects, using PySpark, Python, SQL and Databricks or Snowflake on AWS, plus Airflow, Terraform and Kubernetes.