Top AI Engineer Jobs in London

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.

The Principal Test AI Engineer defines testing strategies for AI systems, leads validation efforts, architects automated testing frameworks, mentors engineers, and translates AI risks into insights for stakeholders.

The Principal AI Test Engineer will define AI testing strategies, lead validation for AI systems, architect automated test frameworks, and mentor engineers to enhance product quality and compliance.

The Principal AI Test Engineer leads testing strategy for AI/ML systems, defining standards, validating models, architecting test frameworks, and mentoring engineers to enhance product quality and stakeholder confidence.

As an AI engineer, you will architect and deploy scalable AI applications, collaborate on intelligent agent development, and promote responsible AI practices.

The AI Engineer will design and build LLM-powered agents and workflows for logistics optimization, focusing on fullstack development and infrastructure ownership.

Build and ship AI-powered internal tools rapidly using LLMs, agent frameworks, and embedding pipelines. Integrate models, APIs, and databases into production-ready solutions, own end-to-end deployments, and collaborate with non-technical teams to automate company workflows and free up time across the organization.

The AI Engineer role involves developing and deploying AI applications, particularly using NLP and LLMs, collaborating with various teams, and optimizing AI model performance through metrics-driven approaches.

Lead the development and optimization of AI and machine learning models, mentor junior engineers, and enhance AI-driven features for the platform.

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.