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 · £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.

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

Own critical parts of a production pretraining pipeline, covering performance optimization, hardware debugging, observability and reliability for frontier models. The role sits at the boundary between research and engineering, with on-call incident response during launches and close collaboration across SF and London teams.

ECM Selection · Cambridge · £40,000 – £70,000 pa

Work across the full machine learning lifecycle, from concept and architecture through data collection, training, integration, testing and evaluation. Models are integrated with in-house electronics to produce prototype and demonstrator units, spanning computer vision, generative models and novel methods across multiple domains.

Humanoid · London

Develops learning-based locomotion and whole-body control policies for humanoid robots, using reinforcement and imitation learning, generative models and motion primitives. Builds scalable simulation and training pipelines in Isaac Lab and MuJoCo, and deploys, debugs and fine-tunes policies on physical robots, tackling sim-to-real transfer and real-time inference latency.

Amazon · London

Interns own the full lifecycle of their code, from design through deployment and operations, building scalable services on cross-disciplinary teams. They use GenAI and AI tools to boost productivity, participate in code reviews, and take on operational duties including on-call, with mentorship from a dedicated manager and mentor.

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.

DCV Technologies · Manchester · £550 – £600 pd

Contract role developing and evaluating AI/ML solutions, including classical models and LLM-based applications on Google Cloud Platform. Involves prompt engineering, RAG concepts, experiment design, model evaluation and documentation, plus requirements gathering, code review and troubleshooting alongside project managers and developers.

DCV Technologies · Manchester · £550 – £600 pd

Contract role building and deploying scalable AI/ML and Generative AI solutions on Google Cloud Platform. Day to day involves Python and PyTorch development, RAG and agent frameworks like ReAct, plus containerising models with Docker, KServe and Vertex AI endpoints. Also covers MLOps work such as CI/CD pipelines, model registries, monitoring, drift detection and GPU cost optimisation.

University of Hertfordshire · Hatfield · £39,560 – £46,970 pa

Postdoctoral role delivering research on innovative AI/ML algorithms for predictive modelling and optimisation of agricultural applications using heterogeneous data, as part of an Innovate UK-funded collaborative project. Duties include developing AI/ML software tools, data management and analysis, supporting the Principal Investigator on project milestones, and contributing to publications and reports.

Entrust · London

Manage and improve a large-scale AWS and Kubernetes infrastructure powering an ML-based ID verification platform. Automate deployments, harden security with the security team, and provide tooling and guidance to product and engineering teams to boost scalability and reliability. Works in an Agile DevOps team using Terraform, Helm, Docker, GitLab CI and Python.

Cambridge Consultants · United Kingdom

A paid 6-12 month PhD internship in the AI & Algorithms department, working across the full robotic learning pipeline from data collection and model training to deployment on real hardware. Interns join mixed-discipline teams on client projects in healthcare and industrial settings, contributing to internal R&D and using labs, robotic platforms and compute resources.

Ocado · Forest Park, United States

Provide first response to engineering fault conditions and carry out electrical and mechanical planned maintenance across a highly automated customer fulfilment centre. Diagnose equipment breakdowns, perform assembly and sub-assembly repairs from blueprints and schematics, and analyse data to improve material handling equipment performance. The role involves shift work, working at height, and initial training travel to other sites in North America and/or the UK.

Electus Recruitment · Bristol · £50,000 – £58,000 pa

Research, develop and evaluate image processing and computer vision algorithms for advanced defence applications, applying AI and machine learning to complex imaging challenges such as segmentation, tracking, detection and classification. Work alongside multidisciplinary specialists using Python, MATLAB or Simulink, with a predominantly onsite pattern of four to five days per week in Bristol.

OpenAI · London

Researcher role focused on derisking frontier AI models by developing novel safety mitigations, drawing on interpretability, control, and alignment techniques. You will build and refine evaluations of emerging risks, design red-teaming pipelines, and set research directions, collaborating closely with experts in misalignment, cybersecurity, and biology.