Top AI Engineer Jobs in London

The Senior Data Scientist will unify technical vision, develop and deploy ML models, and enhance AI strategy across teams. Responsibilities include collaboration, ownership of projects, and maximizing value through AI and data science techniques.

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.

Forward Deployed AI Engineers develop Gen AI solutions by building workflows, implementing strategies, and solving real-world problems at scale with clients.

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.

Lead design and delivery of production AI agent systems end-to-end: architecture, context/retrieval strategies, tool integrations, evaluation pipelines, and full-stack implementation. Drive technical direction, mentor engineers, and use Claude Code as the primary development workflow to embed AI across the company.

Lead architecture and delivery of production multi-agent AI systems: agent orchestration, context strategy, tool integrations, evaluation pipelines, cost engineering, and platform integrations. Ship end-to-end agentic features, set organisation-wide engineering patterns, mentor engineers, and collaborate across product, design, compliance, and engineering teams.

The AI Engineer will design and build full-stack applications, optimize AI interfaces, and collaborate on integrating AI technologies into enterprise solutions.

The AI Engineer will build and deploy sophisticated AI systems for enterprise clients, managing workflows and transforming business operations.

The Staff AI Engineer will build, deploy, and maintain AI applications, manage data pipelines, and lead technical designs while mentoring engineers.

Lead design and implementation of generative AI solutions: prototype LLM/RAG/agent systems, integrate models with APIs and data sources, deploy cloud-native production services, apply LLMOps, and collaborate across product, design, and engineering teams.

As a Conversational AI Engineer, you will build and maintain AI systems to enhance customer experiences while growing your skills under senior guidance.

The Applied AI Engineer will support customer adoption of AI products, integrate AI models into applications, and improve product capabilities based on feedback.

Design and deliver complex product features using AI tools, build AI-native workflows, and mentor teams to enhance engineering practices.

Build production AI systems for legal workflows: agents that edit DOCX documents, perform grounded search and retrieval with citations, run iterative research workflows, and fine-tune models. Ship end-to-end features across editor, retrieval, and dashboard surfaces while ensuring correctness, collaboration support, and reliable agent behavior in production.

Embed with enterprise customers to design, build, and deploy production-grade LLM-enabled applications. Own full-stack solutions (backend, orchestration, vector search, and UI), codify reusable AI patterns, influence platform roadmap, and deliver scalable, secure AI deployments while operating in the field and iterating rapidly.

The Applied AI Engineer will design, build, and deploy LLM-powered AI features, improving workflows while engaging directly with customers to debug and enhance the system.

As a Staff/Senior AI Engineer, you will develop production-ready coding agents and improve AI model capabilities for JetBrains' software development tools. Collaborating with teams, you'll focus on model training, evaluation, and product integration to enhance user experience.

The Senior AI Engineer will develop AI capabilities, maintain server infrastructure, implement evaluation frameworks, promote AI practices, and collaborate with teams to enhance AI adoption.

As an AI Engineer at Elixirr, you will design and implement AI systems, collaborate with teams, drive innovation, and deliver impactful AI solutions.

The role involves building AI connectors, developing automation platforms, and collaborating to enhance workflows using AI in a fintech environment.

The Applied AI Engineer will onboard customers, deploy AI applications, and collaborate with teams to resolve technical challenges and drive technological transformation.

As an AI Engineer, you will develop and maintain AI platforms and SDKs, deliver workflows for research, define best practices, and embed in business teams to explore new AI opportunities.

As a Senior AI Engineer, you will design and build AI/ML systems, operate data pipelines, and prototype new AI solutions, collaborating across teams and ensuring robust infrastructure.

The Senior AI Engineer will design, develop, and scale AI-driven solutions, focusing on LLMs and generative AI, ensuring quality and ethical standards while optimizing workflows and data pipelines.

Join Lendable as a Senior AI Engineer to build AI systems, improve developer experience, and deliver impactful solutions using machine learning and AI tooling.