Machine Learning Jobs

CureAge Therapeutics · London

Lead the computationally guided design of a lipid nanoparticle delivery platform, applying chemical and biophysical principles to optimise LNP composition and formulation. Use AI-enabled chemistry, cheminformatics, predictive models and molecular modelling to prioritise formulation components, working closely with the experimental team and founding team in a small start-up.

Hadean · London

Lead a new AI-powered defence product team, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. You own delivery end-to-end, hiring and people development, partnering with Product and technical leads, with hybrid working one day a week in Shoreditch.

Flarebright · Bicester · £39,000 – £49,000 pa

Contributes across the full development lifecycle, from concept and algorithm design to system integration, testing and troubleshooting of safety-critical navigation and autonomy software in C++. Works with a multidisciplinary team on real-time embedded systems, hardware/software-in-the-loop testing and flight test activities, producing design documentation and test reports.

Anthropic · London · £375,000 – £640,000 pa

Designs and runs large-scale reinforcement learning experiments to understand how RL behaves as model size, compute and task horizon scale, then turns validated findings into production training recipes. Builds long-horizon RL benchmarks and debugs failures that only surface at the research-infrastructure boundary, working closely with adjacent RL teams.

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

Join the Pretraining team to develop next-generation large language models, working across model architecture, algorithms, data processing and optimizer development. You'll lead small research projects, design and analyse experiments, and scale distributed training infrastructure to thousands of GPUs, balancing research goals with practical engineering.

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 · London

Join the model performance and scaling team to implement and optimize LLM post-training methods on frontier models, working with research teams to turn new methods into production systems. The role focuses on distributed training and inference performance, low-precision methods, and frameworks like JAX or PyTorch, in a hybrid London setting.

PhysicsX · New York, United States · US$150,000 – US$190,000 pa

Builds and deploys machine learning systems for industrial physics challenges, designing reliable data pipelines and working with 3D point-cloud and mesh data. Partners directly with customers on-site to embed AI models into practical tools, translating R&D outputs into reusable libraries and products. Requires Python, cloud, and MLOps experience with frequent travel.

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.

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.

Wayve · London

Builds full-stack geospatial services in Python and TypeScript, plus PySpark and Databricks pipelines that enrich fleet data with road-network and mapping information at global scale. Owns route-planning applications, map data preparation for training and simulation, and deployment on Azure and Kubernetes end to end.

Wayve · London

Lead a London-based team building the on-vehicle experiment platform that lets researchers deploy driving models to vehicles, run experiments and collect training data. You own people, roadmap and OEM partner relationships while staying hands-on with embedded Linux, C++/Python and over-the-air deployment across vehicle fleets.

Adecco · London · £600 – £750 pd

Develops and deploys machine learning models and data pipelines that shape decision-making, customer service and business performance. Works closely with ML and software engineers on integration and coding standards, and communicates findings to technical and non-technical stakeholders. Retail context with scope for personalisation, recommendation and experimentation work.

KO2 Embedded Recruitment Solutions · Milton Keynes · £55,000 – £65,000 pa

Designs and builds real-time embedded software in C and C++ for microelectronics and sensors, alongside data pipelines and machine learning systems. The role covers CI/CD for ML, model versioning and drift monitoring, generative AI and LLM work including RAG and fine-tuning, plus ETL/ELT pipelines and IoT data services. Joins a small team owning the full SDLC from clean-sheet design to live deployment.

Amazon · London

Builds and extends a data and ML platform that lets economists run analyses independently, automating pipelines and tooling with DBT, Python, Airflow, Spark, Iceberg and AWS services like Lambda, Bedrock and SageMaker. Works in a lean, no-on-call team without stand-ups or sprints, shaping technical direction for pricing, selection and delivery-speed projects.

Amazon · Cambridge

Joins a research team advancing multimodal deep learning for consumer devices, focusing on dataset curation, annotation pipelines and automated evaluation methods such as fine-tuned LLM-as-judge. Analyses large offline and online datasets in Python to diagnose model failures and works with training, compiler and product teams to move models from prototype to production.