Top AI Engineer Jobs in London

As an AI Engineer, you'll develop LLM-based user-centric products, creating frameworks, optimizing systems, and collaborating with cross-functional teams in a startup environment.

The Senior Software Engineer will design and implement generative AI services, optimize APIs, and collaborate with cross-functional teams while mentoring junior engineers.

Join the Science team to design cognitive systems for AI agents, implement memory systems, conduct validation experiments, and build scalable infrastructure for multi-agent simulations.

The AI Engineer will design and ship production AI features, integrate complex models, and build evaluation frameworks in a TypeScript environment for a rapidly scaling edtech startup.

Join a startup team developing AI-powered patent technology, architecting systems, and solving technical challenges for global IP teams.

Lead integration of AI across engineering at Fanvue with direct ownership of AI-assisted development stack, focusing on developer velocity.

As an AI Engineer, you'll design and implement production AI features and build LLM evaluation frameworks in a fast-paced startup environment.

Develop and lead proprietary AI algorithms for large language models, optimize evaluation pipelines, and implement advanced prompt engineering methods.

The role requires training large language models to improve code quality, involving code review, ranking, and feedback integration for reinforcement learning.

The role involves training large language models to improve code quality by reviewing and refactoring AI-generated code, providing feedback to enhance the learning process.

The engineer will train large language models to write code, review and refactor AI-generated code, and inject feedback into a reinforcement learning pipeline.

Lead and mentor a team of AI/ML Engineers, developing production-grade AI solutions that extract value from structured and unstructured data, with a focus on customer-centric performance.

The Software Engineer will design, develop, and optimize generative AI applications and services, collaborating with teams to implement AI solutions and maintain high-performance systems.

As an AI Solutions Engineer, you'll design AI solutions, run technical discovery, and guide customers on integrations and workflows to drive value with V7 Go.

Develop production-grade AI agents for enterprise customers. Design and build LLM-powered systems, integrating workflows, evaluation, and performance standards. Collaborate closely with customers and teams to ensure reliability and effectiveness in real-world applications.

The role involves modernizing legacy applications using AI, designing intelligent systems, and optimizing technology stacks, while collaborating with stakeholders and leveraging AI tools.

As an AI Inference Engineer, you will optimize C++ systems for AI model inference on edge devices, collaborating with researchers to deploy and enhance models while ensuring runtime stability and performance.

As an AI Research Engineer, you'll enhance model architectures, conduct pre-training on distributed servers with NVIDIA GPUs, and lead innovations in large-scale AI technologies.

The Developer Relations role at Tether focuses on engaging and educating the developer community, creating technical content, and promoting the company's technology through advocacy and community building initiatives.

As a Senior AI Inference Engineer, you'll develop the C++ systems layer for AI models, focusing on runtime quality, model deployment on edge devices, and collaborating with researchers to integrate AI features in products.

Interns will advance video generation and multimodal models, focusing on research, model improvement, and collaboration, with publication opportunities.

As an AI Research Engineer at Tether, you will innovate in AI model architecture development, conduct large-scale model training, and enhance AI performance through advanced techniques and algorithms.

The AI & Optimization Lead will define and execute AI strategies for Bitcoin mining operations, focusing on data architecture, optimization models, and operational efficiency across mining sites.

The role focuses on engaging the developer community to drive adoption of Tether's technology through advocacy, technical content creation, community building, and collaboration with cross-functional teams. Responsibilities also include presenting at events and fostering feedback integration into product development.

The Senior Infrastructure Engineer will architect systems, build agentic tools and automation, manage cloud infrastructure, and enhance observability across services at MUBI, applying strong software engineering principles and DevOps practices.