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 · London

Join the Computational Sciences team to design novel large-molecule therapeutics using a cutting-edge AI drug design engine. You will develop computational and machine learning methods to predict biologics properties from sequence, benchmark models, and analyse lab data to guide early discovery through candidate selection.

Isomorphic Labs · London

Owns the safety assessment strategy for drug discovery projects from inception to regulatory submission, working with small molecule and biologics platforms. Designs screening cascades, authors and defends regulatory toxicology sections, and manages CRO relationships for outsourced wet-lab work. Also guides development of an AI predictive toxicology platform with ML researchers.

Databricks · London

New-grad engineers join a cohort to build infrastructure and products across the Databricks platform, working on backend, full stack, infrastructure, databases, systems, cloud and customer-facing teams. They own the full development lifecycle from design and testing to running services in production, with a dedicated mentor and a focus on reliability, scalability and security.

Databricks · London

Customer-facing role building and productionising 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 from engineers to executives, delivering production-grade reference architectures and reusable accelerators, with around 20% travel.

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.

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.

Adecco · Derby · £60,000 – £75,000 pa

Builds data pipelines, ETL processes and backend services in Python, plus APIs and microservices delivering data products. Deploys machine learning models into production and manages AWS infrastructure (S3, Lambda, EC2, RDS, Glue) for data and application workloads, working with large complex datasets in an Agile team.

Wayve · London

Builds ground-truth datasets and computer vision classifiers that describe complex driving scenes, spanning road geometry, spatial relationships, road users and driving behaviour. Works with internal customers to define annotation tasks and acceptance criteria, curates datasets, and integrates classifiers with enrichment infrastructure for corpus analysis and scenario mining.

Healx · Cambridge

Design and build LLM-agentic workflows that reason over knowledge graphs, proprietary methods and scientific literature to generate and triage therapeutic hypotheses for rare diseases. Works closely with drug discovery scientists in a cross-functional team, using Python, ADK and AgentSpace, with scope to own workflows end to end.

Amazon · London

Lead the science vision for Trusted Supply, safeguarding advertiser trust across Amazon Advertising by developing algorithms for brand safety, suitability scoring, fraud detection, viewability prediction and privacy-preserving measurement. The role spans multi-year research direction, publication roadmaps, cross-team modelling frameworks and production systems serving billions of ad impressions daily, alongside hiring and mentoring applied scientists and research engineers.

Wayve · London

Own end-to-end system architecture for the Wayve AI Driver across L0–L4, defining interface contracts, ECU and sensor requirements, and safety mechanisms. Lead technical alignment with OEMs, Tier 1s and partners, and support integration, bring-up and system-level debugging on vehicles and HiL/ViL benches.