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 AI Consultant (Principal AI Engineer) designs and adopts AI solutions, guiding partners on architectures, model integration, and best practices while ensuring alignment with corporate security responsibilities.

The role involves solving complex frontend engineering challenges, building advanced UI systems, mentoring engineers, and utilizing AI to enhance product outcomes.

As a Staff AI Agent Engineer, you'll enable customer success by implementing AI solutions, integrating platforms, and guiding product adoption through engagement and technical design.

As a Senior AI Agent Engineer, you'll drive customer success through AI solutions, integrating and adapting the Moveworks platform to meet complex business needs, while collaborating with various teams across the organization.

The AI Engineer will focus on the lifecycle of production-grade AI, from model training and inference optimization to deploying models within microservice architectures.

Join Pharosyn as a founding engineer to automate competitive intelligence in pharma by building AI systems for monitoring clinical trials. You will manage full-stack development and interact with strategic teams weekly.

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

Develop and deploy AI agents for engineering workflows, collaborating with domain experts, and improving the platform's functionality through systematic evaluations.

The Senior AI Engineer will build and scale the Agentic platform, implementing AI workflows for engineering, ensuring secure operations and high-code quality.

As a Principal AI Engineer, you'll architect the Agentic stack for AI-driven simulation software, focusing on agent observability, deployment, sandboxing, evaluations, and governance within engineering workflows.

This role involves leading AI projects, mentoring engineers, and driving technology transformation by delivering scalable AI solutions, collaborating with various teams, and ensuring robust, secure solutions.

The AI Engineer will design, implement, and deploy AI solutions leveraging Generative AI and agentic architectures, integrating various tools and frameworks while collaborating with cross-functional teams to deliver production-grade applications.

Design and implement AI solutions, build scalable architectures, drive AI adoption, and advise stakeholders on best practices and integration opportunities.

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 design and operate the agent runtime, manage integrations, ensure performance, and collaborate with data scientists while innovating within the energy and EV space.

Deploy and integrate Latent Labs' generative biology models into customer environments. Lead end-to-end technical deployments, build production-grade APIs, data pipelines and model-serving infrastructure, work on-site with pharma/biotech partners, ensure enterprise security and reliability, gather customer feedback, and document integrations while collaborating with product and research teams.

As a Backend Engineer, you'll enhance the Smart Financial Platform, focusing on robust scalable solutions, APIs, and efficient code delivery while collaborating with cross-functional teams.

As an AI Engineer, you'll design, implement, and deploy LLM-based solutions, develop text representation pipelines, and collaborate with product teams to integrate features into our SaaS platform.

The Research Engineer will advance AI research, implement ML experiments, collaborate with engineers, and publish findings at conferences.

Lead the design and delivery of GenAI solutions, leveraging LLMs and RAG architectures while integrating with enterprise systems. Focus on production-grade implementations and collaboration across teams for digital transformation efforts.

The AI Engineer designs and deploys production-grade AI systems using LLMs, collaborates with clients to understand complex problems, and improves AI application workflows and architectures.

Design, fine-tune and deploy generative AI models, create and optimise LLM prompts, build prototypes and proofs-of-concept, document technical requirements, collaborate with cybersecurity teams, and ensure security and privacy controls are applied to AI systems.

The Full Stack AI Engineer will build and deploy AI-integrated MVPs, develop front-end and back-end systems, optimize ML pipelines, and maintain APIs and cloud infrastructure, focusing on healthcare administration.