Top AI Jobs in London

Build and evolve an AI tutoring system, run evaluations, design software, collaborate with teams, and ensure quality through testing and refinement.

As a Principal AI Engineer, you'll build and evolve AI tutoring systems, run experiments for learning effectiveness, design software, collaborate across teams, and prototype AI interactions.

Lead AI strategy for high-value enterprise accounts: advise C-level stakeholders, shape transformation roadmaps and business cases, influence deal strategy with executive leadership, structure engagements and proposals, run workshops and discovery sessions, and collaborate with product, engineering, GTM and delivery teams to align solutions and mentor internal teams on strategic storytelling and engagement design.

Lead the Application Excellence team to improve internal developer experience, build self-serve tooling and golden paths, drive platform reliability and productivity, coordinate cross-functional stakeholders, manage and coach engineers, and remain technically credible while owning roadmap and delivery.

Develop and maintain an AI-driven pipeline to auto-generate, process, and publish real-life and digital quests. Integrate AI frameworks, design scalable automation workflows, analyze user data to improve generation quality, build API integrations, participate in architecture and documentation, test with pytest/unittest, and collaborate with cross-functional teams to validate LLM outputs against real-world data.

Seeking detail-oriented reviewers for AI training projects, evaluating outputs, generating content, and ensuring cultural relevance. Requires strong analytical skills and attention to detail.

Evaluate and review AI outputs, generate or assess content, and ensure cultural relevance and accuracy in various media for AI projects.

As a Software Engineer at Euphoric, you'll develop AI-driven features, collaborate across the tech stack, maintain quality code, and contribute to an innovative benefits platform.

Design and build a production multi-agent harness and MCP integrations that operate across ERPs, CRMs, and business tools. Own end-to-end production concerns (reliability, observability, permissions, safe workflow execution), scope the product, make architecture decisions, and ship features working closely with CTO, product, engineering, and design. Stay current with agent frameworks and use tools like Claude Code in development.

Lead end-to-end onboarding for enterprise customers: run discovery, design solutions, configure the product, build integrations, manage risks/escalations, and adopt AI-driven workflows to automate tasks and accelerate time-to-value while collaborating with product and engineering.

The Senior AI Implementation Manager will lead customer onboarding, manage integrations, and ensure value delivery through AI-driven workflows with a consultative approach.

The Director of Product Management - Data & AI Platform defines and drives the strategy and roadmap for Gentrack's Data & AI initiatives, focusing on platform leadership, AI capabilities, and cross-functional collaboration to enhance customer value.