Top AI Jobs in London

The role involves analyzing large datasets to derive insights for business strategy, building AI solutions, and communicating findings to the CEO.

The AI Research Engineer will develop AI models to enhance product autonomy, analyze extensive data, and deliver impactful solutions, driving innovative product features.

The Senior Applied AI Solution Engineer will design, develop, and lead AI applications, mentor engineers, and communicate with clients to align AI strategies with business objectives.

As an AI Engineer, you will develop and optimize Large Language Model services, focusing on risk processing in commercial insurance, collaborating across teams, and enhancing evaluation and deployment strategies.

This role involves mentoring apprentices in AI technologies, providing assessments, support in project development, and fostering learner relationships.

As a Data Scientist in the GenAI CoE, you'll design experiments, build GenAI systems, and analyze results. This hybrid role emphasizes collaboration and innovation, focusing on improving AI solutions and processes.

Deploy and integrate Latent Labs' generative biology models into customer environments. Lead end-to-end technical deployments, build production-grade APIs, data pipelines and model-serving infrastructure, work on-site with pharma/biotech partners, ensure enterprise security and reliability, gather customer feedback, and document integrations while collaborating with product and research teams.

The Applied AI Engineer will develop AI features for consumers, optimize AI tools, and enhance workflows in the energy sector.

Lead AI engineering at Fuse Energy, developing AI features, optimizing models, and directing a team for scalable integration into the energy platform.

As an Associate Product Manager, you will support the Physical AI platform's development, coordinate across teams, and drive the product roadmap based on customer insights.

The Quantitative Developer will build AI and ML models for investment strategies, collaborating across departments to implement AI solutions.

Early-career role in PMG's London office to develop AI-powered software and scalable systems for Alli. Participate in intensive onboarding, collaborate on AI agent projects, and apply cloud and AI tools to build solutions for top-tier brands.

Lead AI & Commerce Foundations for Hopper's B2B e-commerce platform. Own platform architecture (auth, APIs, loyalty, payments), integrate LLMs, prioritize partner-facing features, drive zero-to-one product execution, coordinate engineers and data scientists, and use data to rapidly ship and iterate solutions that reduce partner integration time.

Lead and deliver enterprise AI-ready data platform transformations: design cloud-native architectures, prototype AI-assisted pipelines, embed governance and compliance, mentor teams, and partner with executives to modernize data systems for real-time analytics and AI use cases.

The role oversees NVIDIA's developer relations focusing on AI and deep learning, fostering engineering partnerships, and strategic community building.

Lead design, development, and deployment of scalable, AI-driven backend features for the Alli platform. Architect microservices and APIs, mentor engineers, run code reviews, and collaborate with product, design, and cross-functional teams to deliver production-ready solutions using cloud, containerization, and AI technologies.

Design, build, and maintain scalable data ingestion and ELT pipelines on cloud platforms (AWS, Snowflake). Implement dbt transformations, ensure data quality and monitoring, develop APIs and internal services, apply CI/CD and infra-as-code practices, integrate AI/automation, and mentor junior engineers while collaborating with product and analytics teams.

The Senior Product Manager will develop product strategy, manage roadmaps, represent customer interests, and coordinate with cross-functional teams to deliver impactful solutions.

The Head of Technology oversees the technical direction of AI Business Solutions at Kainos, focusing on Dynamics 365, Power Platform, and AI capabilities while mentoring architects and engineers, supporting customer engagements, and ensuring alignment with Microsoft's roadmap.

As a Lead AI Engineer, you'll bridge data science and software engineering, focusing on productionizing AI solutions, optimizing performance, and ensuring the reliability of AI features within Workday products.

Own strategy and roadmap for user-facing apps, mini-products, and AI utilities; build lightweight apps to drive acquisition and engagement; design cross-product experiences; establish experimentation and rapid iteration models; partner with Growth; lead cross-functional teams; ensure enterprise UX, security, and reliability.

The AI Senior Solutions Engineer will engage with customers to understand their needs, design and implement automation solutions, and provide technical advice, while also contributing to product development and market strategies.

Lead global demand generation for AI offerings, aligning Sales, GTM, and Marketing to drive high-quality AI pipeline and revenue through integrated campaigns, lead routing, qualification, pipeline reviews, CRM hygiene, and standardized reporting.

Build and maintain product features that streamline property transactions. Use LLMs and AI coding agents to accelerate development, debug issues, and iterate rapidly. Own tasks from day one, collaborate with a small team, and apply practical problem-solving to deliver customer-facing improvements.

Lead AI enablement for engineering and product teams by defining platform strategy, roadmaps, governance, and enablement. Drive adoption of AI-native tools, agentic workflows, and developer productivity improvements while measuring impact and ensuring safety and scalability.