Top AI Engineer Jobs in London

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.

Lead technical initiatives for Generative AI in logistics, design architecture, implement evaluation pipelines, and mentor engineers.

The role involves developing sophisticated LLM-powered autonomous agents, integrating intelligent services, and ensuring systems' scalability and reliability. Responsibilities include architecting AI modules, leading agile sprints, and monitoring production lifecycle with CI/CD roles.

As a Senior AI Engineer at Savanta, you will develop production-grade AI applications using C#, .NET, and Azure while collaborating with cross-functional teams to implement AI-driven features and enhance engineering capabilities.

Design, build, and operate production-grade agentic AI and LLM-powered features and RAG pipelines over sensitive financial data. Collaborate with product and design, contribute shared AI infrastructure (LLM services, orchestration, evaluation), and own reliability, security, auditability, and compliance in production.

Build and ship production-grade agentic AI systems and LLM-powered features. Architect RAG pipelines over sensitive financial data, contribute shared AI infrastructure, own production reliability and safety, and collaborate with product and design to deliver customer-focused outcomes in a regulated environment.

Build and operate production agentic AI systems and LLM-powered features. Implement RAG pipelines, extend shared AI infrastructure, monitor and debug production models, and collaborate with product and design to deliver secure, reliable AI capabilities in a regulated financial environment.

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.

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

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

As a Staff Backend Engineer at GitLab, you'll enhance backend infrastructure for CI, integrate AI features, and ensure reliability and performance in CI/CD workflows.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

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

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

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.

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

As an AI Engineer at Wavestone, you'll lead AI-driven transformation projects, develop production-grade AI solutions, and mentor team members while shaping innovative AI strategies.

As an Applied AI Engineer, you'll design and deploy AI agents, integrating them with enterprise systems, while collaborating with sales and engineering teams to enhance customer experiences and product capabilities.

The Senior AI Engineer will design, develop, and implement AI capabilities, focusing on Generative AI and Machine Learning systems for business decision-making. Responsibilities include developing APIs, optimizing model workflows, and mentoring engineers.

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 a Python Developer, you will design and maintain robust APIs, manage data pipelines, and integrate cloud platforms for the Global:IQ platform.

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.