Top AI Engineer Jobs in London

Design and develop AI-driven features to enhance customer experience, execute ML projects, and optimize AI performance while collaborating cross-functionally.

As a Senior AI Engineer, you will develop AI solutions, integrate models, and collaborate with teams to explore emerging AI frameworks and technologies. Responsibilities include working on client projects, employing agile methodologies, and contributing to an innovative tech community.

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

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.

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.

Conduct an audit of game development workflows, identify AI integration opportunities, design custom workflows, demonstrate AI proof-of-concepts, and empower teams with AI knowledge.

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.

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.

The Staff AI Engineer will build AI agents, design ML models, engineer data pipelines, and enhance automation in financial workflows.

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

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.

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

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.

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 Senior Value Engineer, you will lead technical pre-sales engagements, analyze customer data using SQL and Python, and facilitate workshops for measuring value in the public sector and regulated industries.

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.

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.

The Staff AI Engineer will lead the architecture and development of scalable web applications using React and TypeScript, collaborate with teams to integrate AI components, and mentor other engineers in best practices.

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 Senior Staff Generative AI Engineer at Citi will design, build, and deploy Generative AI solutions in production, focusing on automation, scalability, and engineering excellence while mentoring junior engineers.

The role involves embedding with business teams to identify AI opportunities, manage product development, and train teams in AI applications, with a focus on measurable business outcomes.

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

Lead technical strategy and delivery of AI solutions, managing teams of Applied AI Engineers and directly coding critical project components.