Top AI Jobs in London

Design and develop AI capabilities to enhance customer experience, executing ML projects and collaborating with teams to translate goals into AI solutions.

Lead a dynamic AI Technology Programme, ensuring alignment across teams, managing cross-functional delivery, and championing responsible AI governance.

The Commercial Counsel will draft and negotiate agreements, advise on legal compliance in AI, and collaborate with global teams to support growth.

The AI Research Scientist will conduct research to develop new ML models, lead projects, and explore data sources while collaborating with a global team.

As a Principal Full Stack Engineer, you'll develop AI platforms to improve decision-making in various industries, mentor engineers, and drive full-stack system architecture.

The Principal Solution Architect, AI Agents will design scalable AI solutions, guide product teams, and prototype solutions on a central GenAI platform.

As a Senior AI/ML Architect, you'll design and implement scalable ML solutions, guide clients from concept to production, and work alongside technical leaders.

The Machine Learning Engineer III role involves developing ML solutions, mentoring staff, and collaborating on data integration and cloud technology applications.

The Staff AI Engineer will build AI agents, design ML models, engineer data pipelines, and enhance automation in financial workflows.

As a Senior Technical Product Manager, you will define the product strategy and oversee the lifecycle of LLMs, facilitating collaboration, optimizing deployment, and ensuring impactful metrics are tracked for continuous improvement.

As an AI IVA/BOT Architect, you will lead AI self-service solutions for contact centers, working with clients to design, implement, and test applications using Google CCAI.

Design and develop AI-powered conversational solutions, guide user experience design using AI, manage multiple projects, and optimize performance through data analysis.

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

Lead the development and optimization of AI and machine learning models, mentor junior engineers, and enhance AI-driven features for the platform.

Lead AI product innovation in the investment industry, managing product roadmaps, conducting research, prioritizing features, and collaborating with cross-functional teams.

Lead AI technology strategy at E.ON, manage cross-functional AI teams, and collaborate with business units to drive innovation and strategy alignment.

The AI Engineer will design and optimize transformer architectures, fine-tune large language models, implement prompt engineering strategies, and collaborate on AI solutions with cross-functional teams.

The Senior AI/ML Consultant will deliver enterprise-level solutions in AI and Machine Learning, engage with clients, and contribute to community growth.

As a Machine Learning Engineer, you will integrate ML features into products, develop and deploy models, and collaborate with various teams on sports analytics solutions.

Analyze business requests for automation, develop specifications, assist in integration testing, and ensure systems meet user needs while maintaining documentation and tracking project progress.

Join a pioneering team in post-quantum cryptography, working on RISC-V based security solutions. Collaborate on innovative technologies in a flexible environment.

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 AI Engineer will design and implement AI systems focused on Generative and Agentic AI, utilizing LLMs and various automation frameworks for seamless integration and deployment.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

As a Senior AI Deployment Engineer, you'll develop and deploy AI software on cloud and edge devices, optimize AI models, and work with microservices and MLOps.