Top AI Engineer Jobs in London

The Principal AI Engineer is responsible for designing, developing, and delivering advanced software solutions with a focus on AI technologies, ensuring scalability and security.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

The n8n Automation Specialist will identify inefficiencies, redesign processes, and build AI-powered systems across departments at Foxelli. Responsibilities include auditing workflows, building custom AI agents, collaborating with teams, and innovating automation solutions.

The Staff ML Engineer will develop and maintain ML tools for game development, collaborating across teams to integrate machine learning into games and enhancing production workflows.

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

Join Lendable as a Senior AI Engineer to build AI-powered tools, automate workflows, and enhance efficiency across internal teams. You'll take ownership of projects from design to delivery and directly impact the company's operations by using machine learning and integration with various data sources.

As an AI Engineer, you will develop and optimize Large Language Model services, focusing on risk processing in commercial insurance, collaborating across teams, and enhancing evaluation and deployment strategies.

As a Lead AI Engineer, you'll bridge data science and software engineering, focusing on productionizing AI solutions, optimizing performance, and ensuring the reliability of AI features within Workday products.

The Applied AI Engineer will develop AI features for consumers, optimize AI tools, and enhance workflows in the energy sector.

Design, develop, and deploy intelligent AI agents, optimize large language models, enable collaboration in customer interactions, and maintain backend systems.

Help train large-language models to write production-grade code by comparing, ranking, repairing, and refactoring AI-generated code, while providing feedback for reinforcement learning.

The AI Software Engineer will train large-language models, compare code snippets, and provide feedback to improve AI-generated code. Requires strong C++ skills and attention to detail.

Join our team to help train large-language models by evaluating and improving AI-generated code, leveraging your coding and communication skills.

Help train large-language models to write production-grade code by ranking, repairing, and providing feedback on AI-generated code snippets, with a focus on logical correctness and performance.

The role involves training large-language models by evaluating and refining code snippets, providing feedback, and maintaining an RLHF pipeline. Candidates need strong Python skills and code review expertise.

As an AI Software Engineer, you'll help train large-language models in Rust by comparing code snippets, repairing AI-generated code, and providing feedback to enhance model learning.

This role involves training large language models to improve code through evaluation and feedback, focusing on correctness, efficiency, and communication.

The Applied AI Engineer will onboard clients on Mistral AI products, manage complex integrations, and drive technological transformations through collaboration with stakeholders.

As a Senior Product Engineer in AI, you'll build systems for AI products, collaborate with teams, and enhance product experiences while mentoring others.

As a Senior Gen AI Developer, you'll work with interdisciplinary teams to develop innovative AI solutions, experiment with emerging technologies, and prototype Generative AI systems while collaborating across various sectors.

As a Senior AI Engineer at DATAPAO, you will lead AI projects, provide ML consultancy, and act as a client interface, ensuring high-quality delivery while mentoring teams.

The role involves designing and building complex, highly interactive UIs for AI workflows in Miro, collaborating closely with product and design teams, and focusing on performance and UX improvement.

As a Senior Full-Stack Engineer, you'll build tools across the Physical AI data stack, focusing on efficient data transfer, storage, and complex domain modeling, while collaborating effectively within a small team.

Develop, validate, and deploy state-of-the-art ML and deep learning models for biomedical prediction tasks. Deliver robust, tested code, collaborate with biologists and clinicians, and apply software engineering best practices across the model development lifecycle.

Build and scale GenAI platform services (LLMs, RAG, agents), design knowledge retrieval and embedding pipelines, implement AI evaluation/observability, create prompt/context engineering systems, and collaborate with cross-functional teams to deploy production AI features.