Top AI Jobs in London

The Technical Lead will oversee the design, development, and implementation of AI-driven projects, collaborating across teams and managing technical strategy while being client-facing.

The AI Applications Ops Lead will design and maintain production AI applications, ensuring their reliability and performance across international government agencies while bridging technical insights to officials.

Lead independent research on LLM evaluation, alignment, and synthetic data generation. Design and run rigorous experiments, build scalable evaluation frameworks and research infrastructure, apply fine-tuning and model optimization techniques, publish and open-source work, and collaborate with engineers and product teams to translate research into production-ready tools.

Support Shopify administration and Flow automations, maintain Google Apps Scripts and API integrations, manage access and SaaS subscriptions, configure Recharge subscription flows, and document processes. Use AI tools (Claude, ChatGPT) and n8n to build automations, test end-to-end, and liaise with vendors and internal teams to keep e-commerce systems running smoothly.

The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.

Lead the product strategy for AI agent testing and observability, ensuring tools for testing agent behavior and quality scoring are user-friendly for non-technical users in B2B environments. Coordinate across multiple teams to deliver integrated solutions.

The Software Engineer will shape AI governance in developer tooling, build product features, collaborate with teams, support users, and innovate rapidly.

Lead AI strategy and enablement at Primer, ensuring AI adoption across functions. Coach teams on AI workflows and measure impact effectively.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

The AI Video Editor will develop and produce performance marketing videos, collaborate with various teams, and innovate video production processes while maintaining brand consistency and optimizing video performance based on data.

Lead technical initiatives for Generative AI in logistics, design architecture, implement evaluation pipelines, and mentor engineers.

The role involves developing sophisticated LLM-powered autonomous agents, integrating intelligent services, and ensuring systems' scalability and reliability. Responsibilities include architecting AI modules, leading agile sprints, and monitoring production lifecycle with CI/CD roles.

As an AI Solutions Engineer, you'll design AI solutions, run technical discovery, and guide customers on integrations and workflows to drive value with V7 Go.

The Staff Product Engineer will build AI-powered products, collaborate with ML scientists, contribute to software development phases, and mentor other engineers.

The Engineering Manager will lead the AI Platform Team, overseeing infrastructure development, hands-on coding, and supporting ML teams while planning high-impact roadmaps and improving developer experience.

As Engineering Manager, you will lead a hands-on team building AI infrastructure, improving developer experience, and supporting ML teams while also contributing to production code.

The Senior Research Scientist will conduct high-impact AI safety research, lead evaluations and red-teaming projects, and support academic publication efforts in applied AI safety.

The role involves building recruiting processes for AI companies, ensuring hands-on participation in sourcing and hiring, and collaborating closely with founders to shape the company's talent strategy.

The AI Product Manager will oversee AI implementation in Conversational Commerce, ensuring quality and safety in AI deployment while driving product strategy and evaluation metrics.

Lead AI projects in Clinical Development for Life Sciences. Engage with clients, manage teams, design solutions, and shape a new practice.

Drive AI-led innovation across UK and international business: research AI trends, identify and prototype use cases, guide initiatives through AI governance, evaluate vendors and platforms, collaborate with product/data/tech teams to implement and scale solutions, maintain AI Academy content, and document designs and support procedures.

Lead the product team at Zego, driving strategic direction and AI integration, managing cross-functional programmes, and mentoring PMs to enhance product impact.

As an AI Deployment Strategist, you'll design and deploy AI-powered planning solutions, interact with clients, and bridge between technical and product teams to drive AI adoption.

Own and improve transaction enrichment pipelines: form hypotheses, analyze performance with SQL/Python, prototype enrichment experiments using AI/LLMs, run structured evaluations, and partner with Product and Engineering to embed long-term improvements.

Lead a small AI-focused engineering team to design, build, and deploy production-grade AI-driven features and services. Contribute hands-on to coding, debugging, testing and integrating ML models into scalable microservice architectures. Define technical direction, tooling, standards, and mentor engineers while collaborating with Product, Architecture, and Data teams.