Top AI Engineer Jobs in London

As a Lead AI Engineer, you will design AI products for enterprise coding, collaborate cross-functionally, and lead AI feature development.

The Senior Staff Engineer will focus on automation-first customer problem resolution, providing hands-on technical leadership while collaborating across teams to enhance customer experience and operational efficiency.

As an AI Platform Engineer, you'll design and build an AI platform, develop APIs and tools for AI capabilities, manage orchestration, and ensure compliance and safety in AI deployments.

As a Forward Deployed Engineer, you will build full-stack AI systems, partner with customer teams, and deliver complex solutions while refining product vision.

The Staff Software Engineer will lead AI infrastructure development, optimize model serving, write production code, and collaborate with cross-functional teams.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

Develop scalable cloud infrastructure and robust software solutions for AI/ML, collaborating with engineers and scientists to enhance scientific research.

The role involves designing, implementing, and delivering AI/ML solutions, developing machine learning models for scientific tasks, and collaborating with experts for data processes.

As a Senior AI Deployment Engineer, you'll develop and deploy AI software on cloud and edge devices, optimize AI models, and work with microservices and MLOps.

The AI Senior Solutions Engineer will engage with customers to understand their needs, design and implement automation solutions, and provide technical advice, while also contributing to product development and market strategies.

Responsible for designing and developing AI products, collaborating with cross-functional teams, and advancing AI capabilities in enterprise software development.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Responsible for leading quality assurance across underwriting lines, improving testing strategies with automation, and mentoring QA teams to enhance delivery quality and efficiency.

The Senior Software Engineer AI will develop AI-driven solutions for document automation, lead technical AI initiatives, optimize AI performance, and collaborate across disciplines to enhance AI capabilities.

Design, develop, and deploy AI powered software for medical devices. Work with a cross-functional team to optimize AI/ML models for various platforms.

Develop ML/AI solutions for autonomous platforms, conduct experiments, and improve performance while collaborating with diverse teams.

The software engineer will develop AI tools for sustainability reporting, collaborating on product strategy and ensuring code quality while leveraging LLMs.

Design and build AI tools that implement responsible AI principles, operationalize AI ethics, and collaborate with scientists on GSK's AI strategy.

As an AI Research Engineer at Helsing, you'll architect and enhance deep learning frameworks, optimize infrastructure for distributed training, and develop strategies for large datasets while collaborating with a cross-functional team.

Develop and prototype AI interfaces, create full-stack applications with Next.js and Node.js/Python, optimize user interactions, and collaborate across teams to define new interaction models.

The Lead Engineer (AI Native) will work closely with clients, develop AI solutions, and enhance software delivery practices while mentoring teams.

Design and build AI-driven products, deploy production-grade AI agents on GCP, and ensure compliance with industry standards while integrating with various systems and tools.

Develop AI-first products, automate claims handling processes, and build evaluation frameworks to enhance AI capabilities at Homeprotect.

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

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.