Top AI Engineer Jobs in London

As an AI Engineer, you will shape Cloudflare's AI strategy by developing AI-powered applications, collaborating across teams to enhance developer tools, and building scalable AI solutions.

As an AI Engineer, you'll design and build intelligent systems that autonomously optimize operations, work with data science teams, and establish AI engineering foundations, including observability and cost optimization.

As an Applied AI Engineer, you will build AI applications for public sector clients, create and evaluate datasets, and collaborate with teams to address challenges using AI solutions.

Lead technical projects for the Workers AI team focused on deploying AI inference, building innovative features, and enhancing developer experience.

As a Lead AI Engineer, you'll architect and deploy generative AI systems, optimize large models, and lead teams in AI engineering across financial services.

As a Principal Forward Deployed Engineer, you will design and deploy AI/ML solutions, mentor engineers, analyze data, and collaborate cross-functionally to drive business objectives.

Join a team to build AI agent tooling and platforms, focusing on integrating technologies and maintaining high-performance applications.

Lead the design and delivery of GenAI solutions, leveraging LLMs and RAG architectures while integrating with enterprise systems. Focus on production-grade implementations and collaboration across teams for digital transformation efforts.

Develop ML products and AI-based experiences for Snapchat, focusing on image and video generation, collaborating with multiple teams to integrate models and gather feedback.

Develop ML products and AI Lenses for millions of users, focusing on image/video generation, AR experiences, and collaborating with cross-functional teams.

The AI Engineer will develop AI-driven features, utilizing LLMs and agent architectures, ensuring quality and customer impact through collaboration in a dynamic team.

As a Lead AI Engineer, you will design and deliver AI solutions using machine learning and cloud technologies, mentor a team, and ensure responsible AI practices.

As an Applied AI Engineer, you'll manage ML model lifecycles, build data pipelines, develop AI features, and collaborate with backend engineers to integrate models into production systems.

You will design, build and refine AI systems for legal applications, focusing on LLM agents and data evaluation frameworks.

Design and build production applications for LLMs, manage evaluation and reliability metrics, and ensure performance and cost-effectiveness in a fast-paced environment.

As a Staff AI Engineer, you'll lead AI projects, design systems for large document processing, mentor teams, and develop AI evaluation strategies.

The Senior AI Engineer will develop and scale Generative AI systems, enhance AI applications, and establish best practices for AI usage at Octopus Energy.

Design, build and scale GenAI platform services (LLMs, RAG, agents) including knowledge retrieval, embeddings, prompt assembly, observability, and evaluation frameworks. Work cross-functionally to integrate AI into products and establish best practices for safe, reliable, and cost-effective AI deployments.

The Applied AI Engineer will advise startups on using Claude, providing technical support for product development, architectural designs, and documentation while collaborating within the team and fostering community engagement.

The Staff Software Engineer will architect and develop software for enterprise fleets, collaborate on design, and lead responses to production issues.

Develop and implement machine learning products and augmented reality experiences at Snap, focusing on image/video generation and integration of ML models.

As an AI Engineer, you will design and deploy scalable AI solutions, optimize models, integrate AI into enterprise environments, and monitor production AI systems while collaborating with various teams.

As an AI Engineer, you'll design and deploy enterprise-scale AI systems, create production-ready solutions using LLMs, and ensure security and compliance.

The role involves backend engineering, designing scalable systems, integrating AI, and consulting with clients on technical solutions while also requiring frontend contributions as needed.

The Senior Full Stack/AI Engineer will deliver full-stack JavaScript/TypeScript solutions, lead technical implementation, apply AI in real contexts, and contribute to client delivery through effective communication and collaboration.