Top AI Engineer Jobs in London

Seeking a Senior AI Full-Stack Software Engineer to develop AI-powered features and lead projects from concept to launch, focusing on quality through test automation.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

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

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

Lead the development of computer vision systems for scene understanding, manage technologies, mentor engineers, and stay updated on AI trends.

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 a Staff Data Engineer, you'll architect and build data pipelines, champion small data strategies, mentor teams, and ensure operational excellence in data workflows.

Lead AI-enabled engineering initiative, designing multi-agent systems for software development, integrating AI tools, and collaborating across teams to innovate workflows.

Lead design, optimization, and deployment of automation efforts using large-scale ML/AI systems, ensuring scalable and efficient infrastructure.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

Develop state-of-the-art AI models in text, image, and speech modalities. Manage research projects and collaborate with teams to deliver impactful AI solutions.

The AI Developer will create AI solutions to enhance business processes, collaborate with teams, analyze data, and build reliable ML pipelines.