Top AI Engineer Jobs in London

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 a Mobile Engineer, you'll architect and ship major features for a music creation platform, ensuring high performance and integrating AI audio tools.

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.

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

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

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

Architect and build backend systems managing billions of data points, ensuring high performance for machine learning workflows, and scaling infrastructure during hyper-growth.

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.

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.

Lead the development of AI-driven solutions, architect scalable AI products, mentor junior engineers, and integrate AI across the organization.

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.

Build and deploy AI systems for investment insights, focusing on ML and LLM-driven solutions, while ensuring high-quality data flow and outcomes.

As an AI Engineer, you'll develop and enhance ML products, focusing on NLP and cloud-based solutions while collaborating with experts to innovate in regulatory compliance.

Lead the development of voice AI solutions focusing on speech recognition, NLP, and deployment of AI models. Collaborate with teams to deliver high-quality products and innovative technologies to enhance customer experiences.

As an AI Product Engineer, you'll build and support AI-powered tools, oversee client technical delivery, and collaborate with cross-functional teams to design and implement solutions.

Lead the design and development of AI solutions for clients, implementing language models and frameworks, mentoring engineers, and evolving internal AI platforms.

The Principal AI Engineer will define AI architecture, lead teams, develop solutions, and mentor engineers to enhance enterprise AI systems.

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.

The AI Infrastructure Engineer will build and optimize training pipelines and inference services for AI models, enhance GPU-level performance, and mentor team members.

As the first full-time engineer, you'll transform a prototype into a SaaS by developing backends, designing user interfaces, and implementing security standards.

Design, build, and deploy machine learning models and intelligent data systems for Formula 1, focusing on predictive analytics, computer vision, and natural language processing, while collaborating across teams to identify data opportunities.

Lead the development of AI models for drug discovery, optimize performance, collaborate across teams, and drive innovation in healthcare.

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.