Machine Learning Jobs

Cambridge Consultants · United Kingdom

Join a mixed-discipline team building intelligent systems, coding hands-on and training/testing models while learning modern software development practices. You'll contribute to internal R&D, turning state-of-the-art literature into market-leading solutions and client demonstrations, and communicate results to colleagues and clients.

NVIDIA · United Kingdom

Develop algorithms and optimizations for NVIDIA's LPX inference and compiler stack, working at the intersection of large-scale systems, compilers, and deep learning. The role involves building high-performance runtime and compiler components, mapping inference workloads onto future hardware, and collaborating with hardware architects on codesign. Distinct focus on LLVM/MLIR, graph transformations, and spatial accelerators.

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.

NVIDIA · Bristol

Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts from industry and academia to analyse and optimise complex AI and HPC algorithms on CPU and GPU architectures. The role also involves publishing optimisation techniques via developer blogs or conferences and influencing next-generation hardware, software and programming models.

Relation Therapeutics · London

Processes and QC's paired single-cell RNA-seq and scATAC-seq at scale, building Nextflow pipelines and multimodal training datasets in Zarr for GPU-accelerated model training. Partners with wet lab scientists and ML modellers, contributing to evaluation frameworks that test whether models capture meaningful biology.

Amazon · Edinburgh

Builds machine learning recommendation systems that match job seekers to roles and recruiters to talent across Amazon Jobs and internal hiring platforms. Works on representation learning, reinforcement learning and probabilistic modelling at global scale, with a focus on fairness and explainability, alongside engineers, scientists and product managers through the full development lifecycle.

Anthropic · London · £370,000 – £630,000 pa

Builds and improves the core RL training infrastructure that researchers depend on, profiling, debugging and rearchitecting bottlenecks across the stack. Works closely with researchers and adjacent teams such as inference and sandboxing to ship tooling that speeds up training runs, spanning low-level performance work through to RL algorithms.

Isomorphic Labs · Cambridge, United States

Lead medicinal chemistry efforts on drug discovery projects, guiding them from initiation to clinical candidate selection as a Project Lead or Medicinal Chemistry Lead. Partner closely with ML scientists to refine AI models, manage CRO resources, and generate IP, with some roles line-managing 2-4 chemists.

Isomorphic Labs · Cambridge, United States

Lead computational drug design programs from hit identification through to candidate nomination, applying AI-first approaches and shaping the ML drug design engine alongside ML scientists. Roles span Program Lead or Computational Chemistry Lead, with some positions managing 2-3 computational chemists. Hybrid working in Cambridge, MA, three days a week in office.

Anthropic · London · £325,000 – £390,000 pa

Builds and operates the distributed systems that serve Claude to millions of users, spanning request routing, load balancing, autoscaling and fleet orchestration across thousands of AI accelerators in multiple clouds. The role sits at the intersection of high-performance infrastructure and ML, integrating new accelerator platforms and supporting new model architectures.

Wayve · London

Lead the technical direction for an offline 3D reconstruction system that turns raw vehicle sensor data into quality-assessed 3D ground-truth geometry and ego motion. The role spans SLAM, lidar point-cloud registration, state estimation and sensor fusion, with responsibility for architecture, roadmaps, interfaces and cross-team alignment. It is a principal-level leadership position mentoring engineers and setting reconstruction quality standards.

Databricks · London

Owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse, driving performance innovations like Low Shuffle Merge and Deletion Vectors. Involves low-level systems debugging, performance optimisation on large production clusters, architecture design, and technical leadership including mentoring and sprint planning.

Faculty · London

Lead high-impact AI projects for retail and consumer clients, defining data science approaches, designing software architectures, and mentoring colleagues. Own the technical side of client relationships, scope projects, and embed responsible AI practices while delivering bespoke algorithms and production-grade systems.

Ocado · London

Owns the software engineering that brings data science and machine learning products into live production for the Autoplanner team, building AI-powered planning systems across global warehouses and last-mile assets. Writes typed, well-tested Python (with some Java for OSP integration), builds APIs and data contracts, manages AWS deployments and CI/CD, and packages, serves and monitors ML models. Acts as engineering partner to data scientists and shares on-call support.

Cohere · London

Hands-on research and engineering role on the Agent Code team, developing code-generating LLMs and autonomous agent systems for enterprise use. Involves training code models, building agent frameworks for inference and sampling, creating SFT trajectories, working on RL algorithms, and designing benchmarks, in collaboration with the pretraining team on frontier compute infrastructure.