Machine Learning Jobs

• Glasgow
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, with Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role with a partner employer within 20 miles of their location.

Microsoft Azure · Git · GitHub

• Birmingham
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, plus Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role within 20 miles of their location, with training delivered online around existing work or study commitments.

Azure · Git · GitHub

• London
• Hybrid · 3 days in office
• Lead

Builds and evolves a large-scale ML infrastructure platform that supports training and deploying novel models across vast compute and data pools. Works closely with engineering, research and product teams, and explores deploying agents to improve platform robustness. Requires strong Python and experience scaling complex systems, with ML or Kubernetes exposure a plus.

Kubernetes · Google Cloud Platform · GCP

• London
• Hybrid · 3 days in office
• Senior

Lead pharmacology and translational biology strategy for large molecule therapeutics, designing in vivo efficacy and complex in vitro functional assays. Act as Biology Lead on projects, coordinating internal workflows and external CROs through candidate selection, while feeding data back into generative AI design loops.

Machine Learning · AI · Computational Biology +1

• United Kingdom
• Remote
• Mid-level
• Permanent

Owns the data infrastructure behind frontier AI models, building large-scale pipelines for collecting, filtering and transforming training datasets. Also trains classifiers, quality filters and labeling models, and designs curation strategies like deduplication and quality scoring. Fully remote, with tooling work letting researchers explore and train on massive datasets.

Kubernetes

• United Kingdom
• Remote
• Permanent

Backend-leaning full-stack engineer joining a small team building Creative Agents that turn ideas into audio, image and video. You'll build production agents using prompts, tool use, orchestration and MCP integrations, design reliable async backend systems for long-running generation tasks, and develop shared evaluations and live quality monitoring. Ownership runs end to end, from prototyping to shipping and operating features in production.

MCP

• London
• Hybrid
• Senior

Develops production-grade ML models and pipelines for physics simulation, working with research scientists and simulation engineers. Involves scaling training and inference across multi-GPU/multi-node distributed systems, optimising from job scheduling down to CUDA/Triton/Warp kernels, and building cloud infrastructure on CoreWeave and AWS.

AWS · Azure · GCP +7

• London

Builds and owns the LLM access layer for agents on the PhysicsX platform, serving self-hosted open models and routing each task to the best-fitting model or combination. Sets technical direction for inference engines like vLLM and SGLang and serving platforms such as KServe, including air-gapped deployments, GPU autoscaling, batching, caching and quantisation. Works with Research and Post-Training specialists to move tuned models into production routes.

vLLM · SGLang · KServe +6

• London
• Hybrid
• Permanent

Builds and optimizes the compute platform behind frontier AI, spanning bare-metal automation, Kubernetes scheduling, high-performance networking, storage, and fleet health. Engineers move across software, hardware, and networking layers, profiling training workloads and improving NCCL, RDMA, and GPU efficiency. Hiring is general across Compute Infrastructure, with teams matched to candidate strengths.

Kubernetes · NCCL · RDMA +4

• Cambridge
• Hybrid
• Mid-level

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.

Python · ADK · AgentSpace

• London
• Hybrid
• Permanent

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.

PyTorch · SQL

• London
• Hybrid
• Senior
• Permanent

Owns embedded software that connects an autonomous driving AI to vehicle platforms, building integration and adaptation layers across hardware. Works on inference integration, vehicle data, navigation, localisation and motion control interfaces, taking features from design through HIL and vehicle testing. Requires strong modern C++ and Linux/QNX experience on Nvidia and Qualcomm platforms.

Nvidia · Qualcomm · Linux +3

• London
• Remote
• £200,000 – £300,000 pa
• Lead

Own machine learning projects end to end, from experimentation through to production, building reliable, scalable systems with Python and large language models. Provide technical leadership to ML engineers, set engineering standards, lead code reviews and make architecture decisions, working closely with research and application engineering teams to improve model performance in production.

LLMs

• Purfleet-on-Thames
• On-site
• Shift work

First-line response for engineering faults in an automated Customer Fulfilment Centre, diagnosing and resolving issues that impact performance. Carries out planned servicing and repairs on robotics, AI and IoT-driven equipment, plus proactive reliability improvement projects. Works 12-hour shifts across days, nights and weekends to support a 24/7 operation.

Ocado Smart Platform

• London
• Hybrid
• Senior

Owns the software engineering that brings data science and ML products into live production for the Autoplanner team, building AI-powered planning systems for global warehouses and last-mile assets. Works mainly in typed, well-tested Python (with some Java for OSP integration), handling cloud deployments, CI/CD, APIs, and MLOps model serving and monitoring on AWS.

AWS · GCP · Python +1