Top AI Engineer Jobs in London

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.

As a Senior AI Engineer at DATAPAO, you will lead AI projects, provide ML consultancy, and act as a client interface, ensuring high-quality delivery while mentoring teams.

As an AI Engineer, you will design and implement the Auto-Moderation Service and AI features, working with Full Stack Developers to integrate intelligent systems into the platform.

Optimize and integrate AI-powered recommendations into email marketing, ensuring personalized content based on user behavior. Collaborate with developers and data 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.

Join a high-caliber team to build a sophisticated AI operating system for financial modeling, optimizing AI agents and evaluation pipelines.

The AI Engineer will oversee AI model lifecycle from training to deployment, ensuring performance and reliability through high-quality Python coding and infrastructure management.

Architect and deliver scalable AI solutions for enterprise document workflows. Own end-to-end feature delivery, collaborate with product and customers, build extraction and automation systems, implement security and privacy by design, mentor engineers, and drive adoption of generative AI capabilities.

The Lead AI Engineer will design and build scalable systems for AI agents in e-commerce, leading technical initiatives and mentoring engineers.

The Senior AI Engineer will design and scale AI-driven solutions using LLMs and generative AI, build data pipelines, implement MLOps principles, and ensure ethical AI practices, collaborating with various teams to enhance AI delivery.

The AI Engineer will develop and maintain AI infrastructure, implement ML solutions, curate datasets, and collaborate with teams to enhance products.

Design and build production applications for LLMs, manage evaluation and reliability metrics, and ensure performance and cost-effectiveness in a fast-paced environment.

The AI Engineer will develop AI-driven features, utilizing LLMs and agent architectures, ensuring quality and customer impact through collaboration in a dynamic team.

You will design, build and refine AI systems for legal applications, focusing on LLM agents and data evaluation frameworks.

The Applied AI Engineer will advise startups on using Claude, providing technical support for product development, architectural designs, and documentation while collaborating within the team and fostering community engagement.

As an AI Engineer, you'll build production-ready AI solutions, improve processes with AI insights, and collaborate with product teams to enhance platform interactions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

Design, build, and scale intelligent systems using AI/ML across various domains including LLMs, Computer Vision and Speech AI, integrating these into business workflows.

The Senior AI Engineer will lead AI strategy, develop Large Language Models and data pipelines, and integrate AI into products while fostering innovation.