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.

Design and build the AI inference infrastructure for Cloudflare, optimizing systems for high availability and performance while mentoring junior engineers.

Lead technical projects for the Workers AI team focused on deploying AI inference, building innovative features, and enhancing developer experience.

Lead enterprise-level AI engineering projects, enhance productivity with AI-driven practices, mentor engineers, and ensure operational excellence within a global team.

As a Senior AI Implementation Engineer, you will enhance customer success by designing innovative AI solutions, integrating systems, and collaborating with engineering teams while providing strategic guidance. You'll oversee full-stack ownership from solution design to launch.

The Staff AI Implementation Engineer at Moveworks will guide customers in leveraging AI solutions, oversee solution design and implementation, and collaborate across teams for effective product evolution.

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

Applied AI Engineers will define and deliver AI systems for business value, collaborating with customers, building real products, and advancing AI tools.

The Staff AI Engineer will lead the technical direction for a platform managing financial service agents, tackling complex AI challenges and ensuring policy compliance.

The AI Engineer - FDE role involves developing and deploying GenAI applications, collaborating with cross-functional teams, and advising customers while presenting thought leadership in the field.

Design, build, and operate low-latency multi-agent LLM systems. Ensure high-quality real-time communication and optimize prompt programming and retrieval processes.

The Senior AI Engineer will design, build, and deploy AI-driven solutions, collaborating with teams to enhance products using Generative AI technologies.

Design, build, deploy and iterate LLM-based applications and generative AI solutions. Partner with product and business teams to optimise internal workflows, implement cloud-based end-to-end solutions, and ensure reliability, scalability, and observability.

As an AI Engineer, you'll enhance IT platforms by building secure AI orchestration systems, designing autonomous agents, and fostering AI fluency within the organization.

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.