Top AI Jobs in London

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

The Senior AI Engineer will lead AI strategy, develop Large Language Models and data pipelines, and integrate AI into products while fostering innovation.

Create and maintain UK employment tax content and AI-enabled guidance for the Tolley+ platform; monitor tax developments; collaborate with editors and subject-matter experts to deliver clear, practical content for varied audiences.

Design, build, and scale intelligent systems using AI/ML across various domains including LLMs, Computer Vision and Speech AI, integrating these into business workflows.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

Serve as a senior technical pre-sales consultant for OneStream AI solutions: deliver demos to finance leaders, support sales teams, assess client AI needs, design integrations, and enable internal and partner staff.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

This role involves architecting and building AI agent systems, developing full-stack features, and shaping the technical direction of an early-stage startup's AI platform.

Lead AI initiatives for Data Intelligence product, managing the product lifecycle and collaborating across teams to deliver AI solutions.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

The Tech Lead will architect and implement AI systems, oversee model integration and ensure compliance with security standards while collaborating with teams on scalable solutions.

The AI Mentor will guide learners in the L5 AI Leader Apprenticeship, supporting their progress, project implementation, and assessments while fostering innovation and productivity in their organizations.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

Lead design for AI-powered products, focusing on intuitive workflows and multi-agent interactions. Collaborate with teams to create experiences and improve quality through data analysis.

Lead development of a scalable AI tutoring system: build prompt architectures and agentic workflows, run experiments and custom evaluations, integrate models into production, ensure safety and observability, prototype novel model interactions, and collaborate with educators and product teams to translate pedagogical goals into robust technical solutions.

Lead development of a real-time, adaptive AI tutoring system: design prompt architectures and agent workflows, build scalable production integrations, run rigorous experiments and custom evaluations, ensure safety and observability, and collaborate with educators and product teams to prototype and productionize novel model interactions.

Design, build, and productionize the core AI tutoring system: prompt architectures, agentic workflows, evaluation frameworks, and scalable integrations. Run experiments, ensure safety and observability, and collaborate with product and education teams to improve learning outcomes.

Serve as strategic advisor to enterprise customers, qualify AI transformation opportunities, lead executive workshops, design use cases on Kore.ai, and build ROI-backed business cases to drive AI adoption and automation roadmaps.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.