Top AI Engineer Jobs in London

As a Lead Growth Engineer, you will drive Fyxer AI's growth by implementing data-driven strategies and optimizing customer journeys, working within a technical team.

As a Staff Software Engineer, you will develop user-facing features, focus on performance and usability, and collaborate with designers and product managers on high-quality code, owning features end-to-end.

As Lead Machine Learning Engineer, you will create technical strategies for user action predictions, utilizing LLMs and traditional models, while collaborating closely with the CTO and data teams.

Join a high-growth EdTech startup as a founding engineer, leading full-stack development, and impacting global education with AI solutions.

Lead the development of AI features, drive product strategy, and optimize infrastructure for growth without PM interference, owning core product areas.

As Lead Data Engineer, you'll architect data systems for an AI product, building scalable pipelines and ML infrastructure while establishing engineering standards and mentoring future team members.

Lead the technical development of a platform automating legal workflows for venture capital, designing and building core systems, and integrating AI for document processing.

As the first hire, you will design AI systems for drug development, bridge pharma strategy and engineering, and translate client needs into product features.

As a founding engineer, you will design and rapidly ship production-ready features, architect scalable systems, and collaborate with executive leadership to define the engineering roadmap.

The Staff Engineer will lead the development of technical infrastructure, manage AWS cloud operations, design database systems, and build production APIs. This role requires strong expertise in distributed systems and data pipelines.

Lead the full lifecycle of AI development, drive innovation from research to deployment, design scalable AI systems with Python, and overcome complex challenges in real estate.

As the first technical hire, you'll build end-to-end product features, integrate AI models, and enhance application performance.

The Senior Full-Stack Product Engineer will develop features for an AI anti-financial crime platform, building back-end systems and front-end interfaces while optimizing AI models and automation systems.

As a Backend Engineer, you will migrate from NoSQL to Postgres, manage payments with Stripe, and architect REST APIs for a media application.

As an AI Solutions Engineer, you will create high-fidelity AI prototypes from business challenges, utilizing Google AI Studio and React. You'll collaborate closely with an innovation team to transform concepts into demos quickly and effectively.

The ML/AI Engineer will benchmark GPU platforms for AI workloads, analyze GPU performance, optimize ML workloads, and develop performance visualization tools.

Lead the development and deployment of AI solutions in industrial settings, bridging technology exploration and practical applications. Responsible for guiding AI decisions, collaborating with teams, and driving customer-focused solutions.

Review, rank, and improve AI-generated code to train LLMs: compare implementations, repair/refactor for correctness, efficiency, and style, and provide detailed feedback for RLHF pipelines. Work asynchronously as a remote contractor, injecting ratings, edits, and test results to improve model outputs.

Evaluate and improve AI-generated code: compare and rank snippets, repair and refactor for correctness, efficiency, and style, and inject detailed feedback and test results into the RLHF training pipeline as an asynchronous remote contributor.

Review, rank, and improve AI-generated code across languages, focusing on Ruby. Repair/refactor code, provide detailed written justifications, and inject ratings/edits/test results into the RLHF pipeline to help train models.

Evaluate, rank, repair, and refactor AI-generated code to improve correctness, efficiency, and style; provide detailed written feedback for RLHF pipelines; and help maintain the code-evaluation and training workflow remotely.

Review, rank, repair, and refactor AI-generated code to improve correctness, performance, and style. Provide detailed written feedback and edits for RLHF pipelines, converting expert judgments into signals used to train models. Work asynchronously as a remote 1099 contractor.

As an AI Research Engineer focused on AI Safety, you will develop techniques for evaluating AI products, enhance decision-making via uncertainty quantification, and ensure robustness against adversarial attacks.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

Join Watershed's sustainability AI reporting team to prototype, build, and productionize AI features (LLMs, embeddings) for information extraction and report generation. Ship production-ready, well-tested full-stack code and keep systems current with state-of-the-art AI to deliver customer-facing product features.