Top AI Engineer Jobs in London

As an AI Research Engineer at Helsing, you'll architect and enhance deep learning frameworks, optimize infrastructure for distributed training, and develop strategies for large datasets while collaborating with a cross-functional team.

As an AI Engineer, you'll build production-ready AI solutions, improve processes with AI insights, and collaborate with product teams to enhance platform interactions.

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.

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.

This role involves defining AI safety measures, governance patterns, and privacy guidance. You'll enhance the AI platform, ensuring safe and efficient product deployments.

The Senior AI Engineer will design and enhance shared AI platform capabilities while ensuring reliability and production readiness. The role requires collaboration on system architecture, building reusable components, and mentoring other engineers in AI development practices.

As an AI Engineer, you will build AI agents for preventive health, focusing on reasoning, clinical workflows, and ensuring reliable production systems.

As a Software Engineer in the Core AI team, you will design and operate AI model serving infrastructure, build centralised servers, and improve developer experiences through secure, scalable platforms.

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

Lead Engineers will develop AI technology solutions, support MVP delivery, and evaluate AI methods alongside team members and stakeholders.

This role involves leading AI-driven productivity solutions, mentoring engineers, and implementing AI agents into workflows, with a focus on business process optimization.

As an AI/ML Software Engineer, you'll develop systems that transform audio and video data into structured insights, focusing on prompt engineering, agent systems, and model optimization.

The role involves leading the development of AI solutions, mentoring engineers, and collaborating with business teams to overcome challenges in complex regulatory environments.

As a Full-Stack Software Engineer, you'll design and deliver applications for Citi Assist, ensuring security and performance across both frontend and backend systems while collaborating with teammates and managing features end-to-end.

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

The Principal AI Platform Engineer leads AI architecture design and implementation, guiding teams to deliver secure AI solutions and mentoring engineers.

The role involves embedding in enterprise accounts to solve procurement problems using AI, managing customer relationships, and developing AI agent solutions.

As a Lead Backend Engineer, you will design scalable services, architect systems, and mentor engineers in a fast-growing AI startup.

The Senior Software Engineer will enhance software development using AI tools throughout the lifecycle, ensuring quality and maintainability while managing a complex codebase.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.

The AI Data Engineer will design and implement the entire data lifecycle for autonomous AI agents, focusing on video ingestion, processing, and system architecture.