Top AI Jobs in London

Join a startup team developing AI-powered patent technology, architecting systems, and solving technical challenges for global IP teams.

The Senior Full-Stack Product Engineer will develop features for an AI anti-financial crime platform, building back-end systems and front-end interfaces while optimizing AI models and automation systems.

Lead the development of AI features, drive product strategy, and optimize infrastructure for growth without PM interference, owning core product areas.

The AI Engineer will design and ship production AI features, integrate complex models, and build evaluation frameworks in a TypeScript environment for a rapidly scaling edtech startup.

Lead integration of AI across engineering at Fanvue with direct ownership of AI-assisted development stack, focusing on developer velocity.

As a Staff Software Engineer, you will develop user-facing features, focus on performance and usability, and collaborate with designers and product managers on high-quality code, owning features end-to-end.

Architect and build backend systems managing billions of data points, ensuring high performance for machine learning workflows, and scaling infrastructure during hyper-growth.

As the first technical hire, you'll build end-to-end product features, integrate AI models, and enhance application performance.

Build and lead the Customer Success function for a startup, managing onboarding, adoption, and retention for non-technical property companies. Drive technology adoption and customer feedback into product development.

We need a Senior/Staff AI Engineer to lead AI product development and technical direction for Orbital Copilot, ensuring the integration of advanced AI features in legal applications.

The Head of Research and Development for AI Safety will lead a research team focused on AI safety, drive the research agenda, manage publications, and influence AI safety strategies with industry impact.

The Senior AI Engineer will build AI integrations, support internal teams with AI tools, and deliver measurable impact across the company by automating workflows and enhancing efficiency.

The Senior AI Engineer will design and deliver agentic AI systems, manage multi-agent workflows, make architectural decisions, and oversee production quality in a fast-paced environment.

Lead the development of AI-driven solutions, architect scalable AI products, mentor junior engineers, and integrate AI across the organization.

Lead research and analysis of the enterprise AI services market, build market-sizing and forecasting models, publish thought leadership, advise C-level clients, present at events, support sales and peer review, mentor junior analysts, and drive research process improvements to deliver actionable insights on AI services and competitive dynamics.

Lead delivery of AI-enabled solutions across Compliance: identify use cases, design and deploy generative AI/NLP and automation, monitor model performance and bias, ensure AI governance and regulatory compliance, and drive stakeholder adoption and operational transition to BAU.

Senior commercial role to originate, qualify, and convert GPU compute demand across Armada's AI factory and Leviathan deployments. Build and manage a pipeline of offtake, anchor tenancy, and reserved capacity deals; map customer requirements to deployable infrastructure; shape commercial structures and go-to-market; and provide market intelligence to inform site selection, capacity planning, and product strategy.

Lead technical strategy and delivery for IRC's program-facing AI portfolio. Manage and grow an engineering and applied-AI team, design and ship agentic systems, predictive analytics, and diagnostics for low-resource settings, oversee Azure-based high-availability architecture, DevOps/CI-CD, security and cost optimization, and partner closely with program leaders and frontier AI organizations to scale responsible, safe AI solutions.

Lead applied research and system design for agent-native search: develop multi-stage retrieval, ranking, and grounding methods for LLMs working with real-time web data; define evaluation paradigms; optimize relevance, latency, and cost; deploy solutions to production and mentor the engineering team.

Lead design and implementation of AI-native features for PyCharm and Python tooling. Architect integrations (MCP, agents), prototype and ship features, guide engineering decisions, evaluate AI tools/providers, and expose IntelliJ Platform capabilities to AI workflows while collaborating with product, ML, QA, and senior developers.

Four-month full-time research fellowship supporting empirical AI safety projects using external models and APIs. Fellows receive mentorship, compute funding, and workspace access to produce public outputs (e.g., papers) across safety, robustness, interpretability, RL, and societal-impact topics.

Build and embed AI/LLM capabilities into FP&A solution assets: design prompts, AI workflows and prototypes; implement features for planning, forecasting, reporting and insights; validate AI outputs; document prompting logic and enablement materials; collaborate with product, architecture, and FP&A experts.

Lead technical localisation efforts at the intersection of LLMs and multilingual quality. Build evaluation frameworks, automate quality signals into CI/CD workflows, optimise AI translation pipelines, partner with product/engineering/ML and country teams, and document localisation AI tooling and processes to scale translation quality across 100+ languages.

Lead end-to-end AI adoption and multi-year roadmaps for enterprise customers, align cross-functional teams, design AI solutions, measure adoption and business impact, and drive retention and expansion through strategic engagement and program execution.

As an AI Product Manager, you'll lead the development of AI solutions, optimize workflows, own backlogs, and engage stakeholders to drive product success.