Top AI Engineer Jobs in London

As an AI Solution Engineer, you'll identify AI opportunities, assess feasibility, design prototypes, and collaborate across teams to innovate solutions using AI technology in infrastructure.

As a Senior Python Engineer, you'll design and build the core infrastructure for AI forecasting systems, integrating data ingestion and reasoning mechanisms while contributing to technical strategy and team growth.

Build and maintain product features that streamline property transactions. Use LLMs and AI coding agents to accelerate development, debug issues, and iterate rapidly. Own tasks from day one, collaborate with a small team, and apply practical problem-solving to deliver customer-facing improvements.

Design, build, and maintain high-performance Java backend systems that integrate and deploy AI/ML models. Develop RESTful microservices, optimize performance and security, implement CI/CD, work with cloud platforms and container orchestration, and collaborate with data scientists on scalable ML solutions.

You will design, train, and deploy agents in multi-agent environments, enhancing our reinforcement learning capabilities and integrating cutting-edge AI into production systems.

The role involves designing and building end-to-end prototypes, collaborating with sales teams, and representing the company in executive meetings, requiring strong customer-facing skills and technical expertise.

The role involves building and scaling the reliability of AI cloud platforms, overseeing GPU compute infrastructure, incident response, and operational excellence while collaborating with various teams to enhance system efficiency and resilience.

The Principal Engineer - DevSecOps & AI will lead the development of secure and automated CI/CD pipelines while advising teams on best practices in DevSecOps and platform reliability.

Design and build product features integrating LLMs, validate AI output quality, and collaborate with the AI research team. Requires production experience with AI systems.

The role involves designing and building AI solutions, supporting business teams, and enabling others to create automation tools. It focuses on practical implementation and adoption of solutions, alongside integration tasks.

The Principal Engineer will focus on scaling AI-driven development, shaping engineering teams' practices, supporting project transitions, and enhancing application deployment processes.

The Staff Software Engineer will develop AI tools integrated with game engines and services, focusing on C++ and automation for game development.

Staff Product Engineers in the AI Group build AI-powered products, collaborate with ML scientists, and ensure robust, scalable systems for customer service applications.

The role involves building AI workflows, integrating AI capabilities, establishing observability, and collaborating with vendors and data teams.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

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.

Uncountable seeks a Platform Engineer focused on Generative AI to develop AI-powered tools for scientific R&D, requiring fullstack development skills and a passion for advancing user needs.

Responsible for leading quality assurance across underwriting lines, improving testing strategies with automation, and mentoring QA teams to enhance delivery quality and efficiency.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

As an AI Software Developer, you'll create AI-driven solutions, collaborate with teams, gather requirements, and manage product deliverables in a financial context.

The Lead Backend Engineer will design scalable backend systems, mentor engineers, integrate AI, and define architecture for Midnite's back office platform.

The Senior Fullstack Engineer will develop fullstack features for Midnite's internal platform, collaborate on AI improvements, and mentor junior engineers.

Lead the development and integration of advanced safety systems for scientific AI applications, building a team and establishing a research strategy.

As an Applied AI Solution Engineer, you will design, build, and deploy AI applications, interact with clients, and solve technical problems, leading teams and ensuring solution quality.

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