Top AI Engineer Jobs in London

As a Staff Backend Engineer, you'll build Python web services, lead technical projects, and mentor engineers while driving AI integration and system performance optimization.

As a Senior AI Engineer, you'll design, build, and scale AI agents for restaurant management, improving operations through innovative technology and practices.

You will optimize algorithms, evaluate third-party technologies, and assume ownership of existing code while transitioning to a research-oriented role. A strong academic background in mathematics or engineering is required, with proven programming skills.

As a Senior Full Stack Engineer, you'll build AI agents and full-stack applications for a central GenAI Platform, ensuring secure and efficient deployment and validation of innovative solutions across healthcare and other industries.

As an Applied AI Engineer, you will develop AI solutions using LLMs, build models, and track their performance, while collaborating with cross-functional teams.

As a Senior Software Engineer, you'll enhance the AI-powered LexisNexis Classification product, optimize services, mentor developers, and engage in agile processes with a global team.

The Senior Software Engineer will design and implement AI solutions, develop full-stack applications, and lead projects within the AI Team, focusing on high-impact contributions and collaboration.

The Senior Machine Learning Engineer will design and optimize data pipelines for autonomous driving research, ensuring high-quality datasets are used for model training and evaluation.

The role involves owning AI/ML systems, leading the AI Engineering Pod, implementing backend solutions, and mentoring team members while ensuring system performance and compliance.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

WunderGraph seeks a Staff FullStack AI Engineer to lead architecture for AI-driven projects, mentoring engineers and ensuring scalable, secure systems. Responsibilities include backend and frontend development with a focus on AI workflows and enterprise readiness.

The Machine Learning Engineer will architect and develop an AI platform for scientific workflows, integrating autonomous agents, and collaborating with cross-functional teams on ML/AI systems.

Lead the design and deployment of large-scale, automated systems using ML/AI technologies, ensuring service reliability and optimizing workflows within the organization.

Lead the development of AI-driven solutions, architect scalable AI products, mentor junior engineers, and integrate AI across the organization.

Applied AI Engineers will define and deliver AI systems for clients, shape AI visions, build products, and advance the core product using real-world data.

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

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

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.

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.

As a Senior AI Engineer at Docker, you'll enhance the Ask Gordon AI assistant, improve RAG systems, and develop evaluation frameworks while collaborating with teams to optimize AI capabilities for developers.

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

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

Develop APIs for AI inference, optimize LLM models, improve system reliability, and handle distributed real-time deployments.

The AI Senior Solutions Engineer will engage with customers to understand their needs, design and implement automation solutions, and provide technical advice, while also contributing to product development and market strategies.