Top AI Jobs in London

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.

The Gen AI and Tech Communications Lead will drive communications for technology transformation and generative AI, ensuring engagement across audiences through clear messaging and effective delivery channels.

Lead the development of AI infrastructure and ML operations, ensuring compliance and scaling capabilities across Apex Group while collaborating cross-functionally.

The Head of AI Innovation will lead external AI innovation, develop prototypes, integrate AI solutions, and oversee vendor collaboration and compliance.

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.

As an AI Engineer, you will design and deploy scalable AI solutions, optimize models, integrate AI into enterprise environments, and monitor production AI systems while collaborating with various teams.

As an AI Engineer, you'll design and deploy enterprise-scale AI systems, create production-ready solutions using LLMs, and ensure security and compliance.

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.

Lead AI-enabled content production, manage workflows, collaborate with marketing teams, and ensure brand governance while optimizing performance and developing a multidisciplinary team.

Lead the development of AI services and platforms at AVEVA, ensuring they are scalable, secure, and aligned with compliance regulations. Drive AI adoption across products, fostering a high-performing engineering team and collaborating with stakeholders.

The Principal AI Solutions Architect will design and architect AI solutions for Anaplan, focusing on GenAI, agentic AI, and seamless integration with planning platforms. Responsibilities include overseeing architectural strategies, developing A2A frameworks, and collaborating with engineering teams to implement AI solutions.

Manage AI solutions for Fortune 500 clients, leading cross-functional teams to deliver tailored AI applications and ensure successful adoptions.

The Channel Sales Manager will focus on driving revenue growth through strategic partnerships, managing partner relationships, and closing complex identity deals, while exceeding revenue targets.

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

The role involves backend engineering, designing scalable systems, integrating AI, and consulting with clients on technical solutions while also requiring frontend contributions as needed.

The Senior Full Stack/AI Engineer will deliver full-stack JavaScript/TypeScript solutions, lead technical implementation, apply AI in real contexts, and contribute to client delivery through effective communication and collaboration.

The Expert Partner leads client engagements, develops relationships, manages teams, drives innovation in Data and AI consulting, and achieves financial objectives.

Lead and build a high-performance engineering team focused on creating a machine learning infrastructure platform; collaborate with diverse teams to ensure operational excellence and scalability of models.

Join the Data Science team at MAGIC AI to enhance ReflectAI® tech. Collaborate on pose estimation, develop algorithms, and optimize AI models for real-time feedback, ensuring effective communication with cross-functional teams.

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

The role involves leading AI and data projects, building client relationships, delivering programs, and contributing to thought leadership in a collaborative environment.

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.

The Vice President, AI Enablement oversees AI strategy at Parexel, leading implementation across clinical and corporate functions while ensuring compliance and innovation.