Top AI Engineer Jobs in London

As an Applied AI Engineer, you will build AI applications for public sector clients, create and evaluate datasets, and collaborate with teams to address challenges using AI solutions.

As a Lead AI Engineer, you'll architect and deploy generative AI systems, optimize large models, and lead teams in AI engineering across financial services.

The Senior Value Engineer partners with customers to enhance efficiency and value using Celonis technology through workshops, business cases, and model expansion.

Develop ML products and AI Lenses for millions of users, focusing on image/video generation, AR experiences, and collaborating with cross-functional teams.

The Applied AI Engineer will onboard customers, deploy AI applications, and collaborate with teams to resolve technical challenges and drive technological transformation.

The Staff Software Engineer will architect and develop software for enterprise fleets, collaborate on design, and lead responses to production issues.

As an Applied AI Engineer, you will develop and deploy AI/ML solutions, collaborate with cross-functional teams, and enhance AI literacy within the organization.

Deliver and deploy ML and generative AI solutions across industries: design experiments, build production-scale models, identify business use cases, drive measurable value, consult with clients, and mentor team members.

The AI Engineer will design and optimize transformer architectures, fine-tune large language models, implement prompt engineering strategies, and collaborate on AI solutions with cross-functional teams.

The Data/AI Engineer will design scalable data pipelines, model data, develop AI-driven solutions, and collaborate with teams to optimize operational workflows across international entities.

As an AI Engineer, you'll develop and enhance ML products, focusing on NLP and cloud-based solutions while collaborating with experts to innovate in regulatory compliance.

Build and deploy AI systems for investment insights, focusing on ML and LLM-driven solutions, while ensuring high-quality data flow and outcomes.

Lead the development of voice AI solutions focusing on speech recognition, NLP, and deployment of AI models. Collaborate with teams to deliver high-quality products and innovative technologies to enhance customer experiences.

As an AI Software Engineer, you'll design, develop, and deploy scalable AI systems, collaborating across teams to enhance product features using cutting-edge technologies in cloud-native environments.

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

Lead the design and development of AI solutions for clients, implementing language models and frameworks, mentoring engineers, and evolving internal AI platforms.

The Principal AI Engineer will define AI architecture, lead teams, develop solutions, and mentor engineers to enhance enterprise AI systems.

As a Senior AI Engineer, you'll architect and scale advanced ML systems, lead AI model capabilities, drive infrastructure decisions, prototype ideas, and mentor engineers. You'll ensure the delivery of impactful AI products while adhering to best practices in a fast-paced environment.

The role involves designing, developing, and supporting cloud and AI solutions primarily on Azure, including automation and integration components, while ensuring security and compliance.

Design, build, and operate end-to-end production AI workflows integrated with internal systems. Implement orchestration, monitoring, and human-in-the-loop mechanisms; own model behaviour, evaluation, and continuous improvement; define and report decision-quality metrics; collaborate with Data Engineering on infrastructure, CI/CD, data pipelines, and governance; contribute standards and best practices to ensure reliable, auditable AI-driven outcomes.

The Senior Applied AI Engineer will develop scalable AI features, improve application reliability in production, and collaborate with teams for deployment of AI-driven services.

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.

As a Senior AI Engineer, you will build AI systems for personalized learning, focusing on LLMs, prompt engineering, and scaling technology for millions of users.

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.