Machine Learning Jobs

• Romford
• Remote
• £30,000 – £45,000 pa
• Entry level

A 15-step online, self-paced traineeship covering AI engineering fundamentals, Python, data handling, prompt engineering, RAG, machine learning and AWS, with hands-on projects such as a car price prediction app and a customer service chatbot. It includes Microsoft AI-900 certification, 1-to-1 tutor and recruitment support, and a job guarantee on completion.

Jupyter Notebooks · VS Code · Streamlit +6

• Leicester
• Remote
• £30,000 – £45,000 pa
• Entry level

A self-funded training programme leading to AI engineering employment, covering AWS Cloud Practitioner certification, Python, machine learning and AI systems through online self-paced study. Includes hands-on projects, CV and interview support, and recruitment assistance until placement, with a job guarantee or course fees refunded.

AWS · TensorFlow

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

A self-paced traineeship taking complete beginners through AI and data science fundamentals, Python, 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.

Azure · Git · GitHub

• Salford
• £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 matched to a Junior AI Engineer role within 20 miles of their location, with training designed to be completed in 6-12 months around existing commitments.

Azure · Git · GitHub

• London

Owns the product capability for post-training LLMs, turning research methods into deployable model improvements for customers. Builds reliable training harnesses, synthetic-data pipelines and evaluation workflows, applying SFT, preference optimisation, RLHF/RLAIF and verifier-based approaches. Works closely with Research and platform teams, with a roadmap spanning SaaS, VPC and air-gapped deployments.

PyTorch · LLMs · SaaS +1

• London
• Hybrid
• Lead · manages people
• Permanent

Builds and leads the technical programme management function for Wayve's AI Platform organisation, owning planning, prioritisation and execution across data and compute infrastructure, developer tooling, training technology and inference optimisation. Coaches a small TPM team, manages cross-team dependencies with ML, research, embedded and vendor partners, and drives measurable gains in developer velocity, compute efficiency and model performance.

Kubernetes · Ray · Flyte +6

• London
• Hybrid · 3 days in office
• Senior

Join a newly formed LLM Engineering team to architect, implement and own systems bringing large language models into scientific and business processes. Work spans LLM serving stacks, agentic infrastructure, RAG, evaluation frameworks and fine-tuning, partnering with researchers to translate scientific needs into technical AI specifications.

vLLM · GCP · MCP

• London
• Hybrid · 3 days in office
• Mid-level
• Permanent

Builds and scales the infrastructure that trains and deploys OpenAI's agentic models, spanning a novel in-house container orchestration platform, FastAPI and gRPC APIs, and Terraform-managed cloud systems. Works closely with researchers on novel training runs while scaling production agent platforms to hundreds of millions of users.

Kubernetes · FastAPI · gRPC +7

• London
• Hybrid
• Permanent

This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc.…

• London
• Hybrid
• Lead
• Permanent

Lead large-scale training and post-training for Gaia, Wayve's world model that predicts future driving video frames and runs closed-loop with the driving model. Own model architecture and training-strategy decisions, push autoregressive generation toward longer, more stable rollouts, and make the model deployment-ready. Work across Research, Applications, Core Simulation Engineering and Cloud/Infrastructure, mentoring and setting technical direction.

PyTorch

• Erith
• On-site
• Lead · manages people
• Shift work

Lead a team of engineers, technicians and trainees at an automated Customer Fulfilment Centre, allocating workload, developing staff and handling disciplinary matters. Requires hands-on mechanical and electrical engineering competence to make decisions across a 24/7 operation, working 12-hour day, night and weekend shifts.

Computerised Maintenance Management Systems

• Erith
• On-site
• Mid-level
• Shift work

You'll be the principal point of contact for critical technical issues at Ocado's largest operational Customer Fulfilment Centre, keeping the 24/7 operation running through proactive improvement works and maintenance on conveyor networks, lifts and cranes. The role works a 12-hour shift pattern across days, nights and weekends, with a strong emphasis on health and safety and working at height.

Conveyor Networks · Lifts · Cranes

• London
• Hybrid
• Permanent

Deploys and adapts proprietary generative biology models into pharmaceutical and biotech customer environments, building production-grade API integrations, model-serving infrastructure and ML data pipelines. Combines deep generative-modelling research with customer-facing delivery, fine-tuning models and feeding insights back to research and product teams. Hybrid role with on-site work at international partner locations.

AlphaFold · NeurIPS · ICML +2

• London

Lead and contribute to interdisciplinary research programmes on how frontier AI systems influence human decisions, designing large-scale studies, RCTs, model evaluations and benchmarks. Work spans computational social science, AI safety, machine learning and cognitive science, with opportunities to publish and engage policymakers and frontier labs.

Claude Code · Codex

• London
• Remote
• Permanent

Designs and oversees data collection tasks with human annotators, applies statistical methods to assess dataset quality, and analyses the robustness and generalisability of large language models. Involves training and fine-tuning LLMs on distributed infrastructure and running experiments with researchers, engineers and annotators to improve model performance.

PyTorch · TensorFlow · JAX