Artificial Intelligence Jobs

• London
• Hybrid
• £325,000 – £395,000 pa
• Senior

Builds foundational infrastructure for AI safety safeguards, including data storage, metric and evaluation systems, and tooling for human and agentic review. Maintains real-time, multi-layered defenses against misuse at scale while reducing manual oversight, working across the stack primarily in Python.

Claude Code

• London
• Hybrid
• £370,000 – £630,000 pa
• Mid-level

Builds and improves the RL training infrastructure researchers rely on, profiling and rearchitecting bottlenecks across the stack and owning run reliability end-to-end. Works closely with researchers and adjacent teams like inference and sandboxing, spanning low-level performance work through to RL algorithms.

JAX · PyTorch

• London
• On-site
• £260,000 – £630,000 pa
• Mid-level

Owns critical parts of a production pretraining pipeline, covering performance optimization, observability, reliability and hardware debugging across the full stack. Splits time roughly 50/50 between research and engineering, designing experiments to cut step time and boost uptime, and responding to on-call launch incidents. Works in-office in London alongside SF and specialist teams.

JAX · TPU · PyTorch +3

• London
• Hybrid
• £375,000 – £640,000 pa
• Mid-level

Designs and runs large-scale reinforcement learning experiments to understand how RL behaves as model size, compute and task horizon scale, then turns validated findings into production training recipes. Builds long-horizon benchmarks and debugs failures that only surface at the research/infrastructure boundary, working closely with adjacent RL teams.

• London
• Hybrid
• £165,000 – £230,000 pa
• Lead

Lead delivery of custom agentic AI solutions for enterprise customers, owning engagements from SOW through production deployment. Drive delivery plans, product scoping, stakeholder relationships and value measurement while pressure-testing technical decisions alongside Forward Deployed Engineers. Involves up to 25-50% travel to customer sites and building repeatable delivery patterns.

• London
• Remote
• Temporary

A four-month, full-time research fellowship working on empirical ML systems or reinforcement learning projects, using external infrastructure like open-source models and public APIs. Fellows receive direct mentorship from Anthropic researchers and aim to produce a public output such as a paper submission, with project areas spanning accelerator backends, synthetic data pipelines, and RL environments.

Claude

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

First line of 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 · Robotics · AI +1

• London
• Hybrid
• £260,000 – £370,000 pa

Designs and runs machine learning experiments to understand and steer the behaviour of powerful AI systems, with a focus on AI control and alignment stress-testing. Works closely with interpretability, fine-tuning and red-team researchers, building tooling, multi-agent RL experiments and jailbreak evaluations, and contributing to papers and blog posts.

Python · Kubernetes · LLM +1

• London
• Hybrid
• Permanent

You will run several concurrent implementations of an AI contract-intelligence platform, leading customer discovery sessions, translating requirements into scalable configurations, and delivering training to legal teams. The role sits alongside Customer Success and Product, feeding recurring patterns back into team playbooks to make future rollouts faster.

Luminance

• Bristol
• On-site
• Shift work

First-line responder for engineering faults in a highly automated Bristol fulfilment centre, diagnosing and resolving issues that affect performance. Carries out planned servicing and repairs while contributing to proactive reliability and efficiency projects. Works 12-hour shifts across days, nights and weekends to support a 24/7 operation.

Ocado Smart Platform

• London
• On-site
• Mid-level
• Permanent

Acts as a trusted technical advisor to AGI-DS scientists, translating complex research objectives into actionable ML/GenAI data collection requirements. Coordinates across teams to ensure delivery, owns customer scientist relationships, and monitors collection health metrics. Involves guiding on workflow feasibility, annotation scalability, and data collection best practices.

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

Experienced engineer at a large automated fulfilment centre, acting as principal point of contact for critical technical issues and keeping operations running through proactive improvement and maintenance work on conveyor networks, lifts and cranes. The role follows a 12-hour shift pattern across days, nights and weekends to support a 24/7 operation.

Conveyor Networks · Lifts · Cranes

• Erith
• On-site
• Shift work

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

PLC · SCADA

• Andover
• On-site
• Shift work

Hands-on first-line response for engineering faults in an automated Customer Fulfilment Centre, diagnosing and resolving issues affecting performance while carrying out planned servicing and repairs. Also contributes to proactive reliability and efficiency improvement projects, working with automation hardware, software and control systems at height in a 24/7 operation.

Ocado Smart Platform · Robotics · AI +1

• Dublin, Ireland
• Hybrid · 2 days in office
• Lead

Lead the architecture, deployment and operation of a large-scale AI/ML platform spanning conventional ML and agentic AI, owning the roadmap and engineering standards. Hands-on role covering MLOps/LLMOps, CI/CD, IaC, Azure infrastructure and multi-agent orchestration frameworks, while mentoring engineers and acting as senior escalation point.

Azure · AWS · Terraform +4