Machine Learning Jobs

• Doncaster
• £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 designed to fit around existing work or unemployment.

Microsoft AI-900 · Azure AI Fundamentals · Git +1

• Colchester
• £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 within 20 miles of their location, with training designed to fit around existing work or unemployment.

Azure · Git · GitHub +1

• London
• Hybrid · 3 days in office
• Senior

Lead the hardening and scaling of an inference platform serving fleets of cutting-edge ML models for scientific applications. Set strategy and roadmaps, architect next-generation services, and solve core scaling limits for high-throughput performance, partnering with research, product and operations teams.

Kubernetes · Google Cloud Platform · NVIDIA GPU +1

• 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
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML and LLM systems for national security and AI safety clients, including capability testing of frontier models. Act as a trusted technical advisor, define engineering standards for ML at scale, and mentor junior engineers while working with frontier labs on red teaming and evaluation.

TensorFlow · PyTorch · AWS +4

• London
• Hybrid
• Senior
• Permanent

Owns the engineering release process for autonomous driving models, defining branching strategies, release cadence, configuration management and quality gates. Reviews model, architecture and code changes against intended outcomes, assesses evaluation results for safety and performance, and builds CI/CD tooling with PyTorch, TensorRT and GitHub Actions. Works across ML engineering, AI Platform, evaluation and product to unblock delivery bottlenecks.

PyTorch · TensorRT · GitHub Actions +1

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML and software systems for clients across pharma, academia and MedTech. The role blends hands-on Python and cloud engineering with architecture decisions, client-facing technical advisory and mentoring junior engineers. Work spans scalable infrastructure, container orchestration and embedding best practices for deploying machine learning at scale.

AWS · Azure · GCP +2

• London
• Hybrid
• Mid-level
• Permanent

Builds and operates the platform that deploys, configures and manages models across ChatGPT, spanning deployment orchestration, rollouts, capacity planning and operational automation. The role focuses on turning complex operational processes into reusable, scalable platform capabilities, working closely with research, infrastructure and product teams.

GPU · ChatGPT

• London
• Hybrid
• Permanent

Forward deployed engineer building and shipping LLM-powered agentic workflows for enterprise customers, from early prototypes to production-grade agents. Works directly with clients in finance, healthcare and telecoms, integrating models with tools, APIs and sensitive data, and contributing features to Cohere's North AI workspace platform.

North · LLM · RAG +3

• United Kingdom
• Remote
• Permanent

Builds agents that run real parts of the business, working in Marketing Engineering and forward-deployed to growth pods to find problems and own solutions end to end. Uses Python, SQL, LLM APIs and agent orchestration with frontier models, focusing on making agents reliable, measurable and safe enough for the business to depend on.

LLM APIs

• London
• £80,000 – £90,000 pa

This role involves designing and deploying AI-native applications using Large Language Models, agentic systems, and multimodal AI technologies. The engineer will build full-stack solutions, including intelligent agent workflows on Google’s Gemini platform, RAG architectures, and scalable front-end interfaces with React and Svelte. Collaboration with stakeholders to deliver production-grade AI applications that solve real business problems is a core responsibility.

• United Kingdom
• Remote
• Permanent

Deploy Cohere's North AI workspace platform into private cloud and on-premises environments, leading planning, configuration, testing and rollout. Partner with enterprise IT teams on infrastructure, security and data management, administer large-scale Kubernetes clusters with Helm, and travel up to 20-40% to customer sites. Requires active DV clearance (preferred) and strong cloud, networking and virtualization expertise.

Kubernetes · Helm · Git +3

• 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

• London
• On-site
• £150,000 – £175,000 pa
• Senior

Hands-on role building LLM agent and retrieval systems on a small UK core team, reporting to the Head of Engineering. Work spans LangGraph/LangChain workflows, RAG pipelines with Qdrant and GraphRAG on Neo4j, model integration across Anthropic, OpenAI and Bedrock, plus evaluation harnesses and observability. Token cost, latency and auditability are treated as engineering constraints throughout.

LangGraph · LangChain · FastAPI +7

• 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