Top AI Engineer Jobs in London

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.

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.

Design, develop, and maintain AI-driven solutions using Python and LLM frameworks. Build generative AI and agentic systems, implement RAG/embeddings/fine-tuning, collaborate with product/data/engineering teams, write tested, deployable components, and contribute to system architecture, CI/CD, and continuous optimization in an Agile environment.

The Senior Agentic AI Engineer will develop cutting-edge GenAI solutions, design high-performance AI modules, and ensure system integration while leading cross-functional teams.

The Principal AI Engineer will build and improve the core AI tutoring system, design evaluation methods, and collaborate on pedagogical goals, driving innovation in learner experiences.

Build and evolve an AI tutoring system, run evaluations, design software, collaborate with teams, and ensure quality through testing and refinement.

Responsible for building and evolving an AI tutoring system, running experiments, collaborating with teams, and ensuring quality in model behaviors.

As a Principal AI Engineer, you'll build and evolve AI tutoring systems, run experiments for learning effectiveness, design software, collaborate across teams, and prototype AI interactions.

The Research Engineer will advance AI research, implement ML experiments, collaborate with engineers, and publish findings at conferences.

Lead an embedded AI squad from discovery to production: harden and deliver AI prototypes, design reusable agentic AI patterns, ensure security and data governance, integrate AI with enterprise systems, codify reference implementations, mentor engineers, and measure outcomes to scale solutions.

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 Full Stack AI Engineer will build and deploy AI-integrated MVPs, develop front-end and back-end systems, optimize ML pipelines, and maintain APIs and cloud infrastructure, focusing on healthcare administration.

Design, train, optimize, and deploy production-ready computer vision models for image and video analytics. Prepare and manage datasets, integrate models into services, ensure performance and scalability, and collaborate with cross-functional teams while maintaining documentation and code quality.

Lead technical strategy and delivery of AI solutions, managing teams of Applied AI Engineers and directly coding critical project components.

As a Founding AI Engineer, you will develop production AI systems with Python and MLOps, ensuring integration into real user workflows, while shaping product direction.

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.

As a founding engineer in Mistral's Applied AI SRE sub-team, your role involves building reliable frameworks, operating customer environments, and leading security operations for AI solutions.

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

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

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

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

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

As a Forward Deployed AI Engineer, you'll design and deploy AI solutions for enterprise customers, integrating AI agents with existing workflows and ensuring optimal performance through collaboration and documentation.

As a Forward Deployed AI Engineer, you will design and implement AI solutions for enterprise customers, collaborating closely with product teams and ensuring effective deployment and customer satisfaction.

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