LLM Engineer

• Build and maintain scalable data pipelines and workflows.
• Develop evaluation frameworks for GenAI and LLM applications.
• Create and maintain golden datasets for model testing.
• Evaluate and benchmark LLM performance.
• Build ML-assisted tools to improve delivery and automation.
• Deploy production-ready AI solutions.
• Work closely with delivery teams to solve technical challenges.
• Continuously improve data quality, automation, and operational efficiency.

Senior Applied AI Engineer, GenAI, LLM Evaluation

• You will own, build, and run your startup in fields such as AI Infrastructure
• You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management
• You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs
• You will receive intensive coaching to make your startup ready to raise millions in funding
• You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively

AI Infrastructure Co-Founder / Head of Sales

• Hands-on, daily use of AI-assisted and agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, autonomous coding agents) to write and refactor code, automate workflows, and optimize engineering processes
• Proficiency with server-side events, event-driven architectures, and messaging systems
• Strong critical thinking and systems thinking skills, with experience debugging, optimizing, and making sound engineering decisions across complex backend systems, not just solving isolated problems
• Solid understanding of security best practices for backend systems, including authentication and data protection

Senior Staff Engineer, LLM

• Own the technical execution and infrastructure setup across our UK compute sites, covering power, cooling, mechanical and electrical systems, to the highest standard of performance and reliability.
• Lead early-stage site evaluations, assessing prospective spaces and colo data halls for technical feasibility before we commit.
• Drive the full deployment lifecycle from site assessment and hardware selection through to physical installation, commissioning, and handover to live operations.
• Act as the primary technical presence on the floor, working directly alongside contractors and internal teams to bring each site online.
• Execute technical fitouts end to end, including logistics, equipment rigging, rack installation, and high-density hardware deployment.
• Physically install, validate, and maintain direct-to-chip liquid cooling loops and the surrounding critical infrastructure.
• Set and enforce structural, mechanical, and electrical safety standards across every site you own.

Data Centre Manager – AI Infrastructure

• Design and build the infrastructure layer powering AI agent systems in production
• Develop high-performance Rust services that handle model inference, orchestration, and execution
• Architect scalable systems capable of supporting millions of users and high request throughput
• Build reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring
• Define guardrails, observability, and failure handling for agent-driven workflows
• Optimize latency, throughput, and cost across inference and orchestration layers
• Partner closely with the Agent Systems team to translate experimental prototypes into hardened production systems
• Contribute to foundational infrastructure decisions in a high-scale, high-impact environment

LLM Engineer jobs in United Kingdom

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Senior Applied AI Engineer, GenAI, LLM Evaluation

AI Infrastructure Co-Founder / Head of Sales

Senior Staff Engineer, LLM

Data Centre Manager – AI Infrastructure

Senior Software Engineer – AI Infrastructure