Top AI Jobs in London

The Pre-Sales Architect will lead solution demos, architect technical solutions, drive customer success, and support sales execution in AI Business Solutions.

The Senior Knowledge Strategist will architect and implement an Enterprise Knowledge Management system to streamline information sharing and operational efficiency across IOG, driving innovation and supporting AI initiatives.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

Lead the go-to-market strategy for AI & Platform products at Deel, including market analysis, messaging, product launches, and sales enablement. Collaborate across teams to ensure product success and drive growth.

This role involves architecting and building AI agent systems, developing full-stack features, and shaping the technical direction of an early-stage startup's AI platform.

As an AI Graphic Designer, you'll create engaging visuals using AI tools, analyze performance data, and work with marketing teams to produce high-quality design assets for eCommerce brands.

The Presales Consultant will engage with clients to promote AI capabilities, conduct demonstrations, and advise on AI integration strategies while collaborating with sales and technical teams.

The Knowledge & AI Enablement Manager designs engaging knowledge content, manages AI agents, and improves support experiences for learners and internal teams.

The AI Specialist coordinates customer success using Zendesk AI solutions, driving AI adoption, enhancing customer relationships, and managing overall customer health for successful outcomes.

The Senior Technical Recruiter will focus on sourcing and engaging top technical talent for backend and system engineering roles, managing pipelines, and collaborating with hiring managers.

Design and deliver structured AI-powered documentation, implementing standards and workflows while partnering with teams for knowledge capture.

The Lead AI & ML Engineer will lead the AI & ML Engineering team, managing solutions from ideation to deployment, mentoring team members, and ensuring robust, scalable AI/ML delivery across Charlotte Tilbury.

Lead legal support for technology, AI, and procurement matters. Draft and negotiate contracts, advise on legal risks, manage legal policies, and mentor a junior legal professional.

The Principal Software Engineer leads the AI Workbench product team, responsible for developing simulation software solutions. The role demands collaboration, technical leadership, and participation in recruiting software engineers.

The AI Outcomes Manager will engage with executive sponsors, provide strategic consultations, conduct workshops, and identify AI deployment opportunities.

Build, scale, and maintain AI-powered solutions within Miro's platform, ensuring operational excellence and integration across teams while focusing on user experience and engineering best practices.

Join the QRT Crypto desk to enhance trading strategies using AI and ML techniques, focusing on automation and data-driven decision-making.

The Internal Communications Manager will handle communication strategies, shape narratives, engage audiences within Science and Frontier-AI Units, and support leadership in promoting important updates and culture change.

Manage a team to develop AI solutions for Chip Design, leveraging machine learning models and infrastructure, while collaborating with hardware engineers.

The AI Engineer will solve complex problems, deploy LLMs, and take ownership of code in production from day one. Responsibilities include creating specifications, building features, and contributing to scaling infrastructure.

Manage full enterprise sales cycle, develop go-to-market strategies, design pilots, and drive customer engagement to secure multi-million dollar contracts in AI sales.

The AI Mentor will guide learners in the L5 AI Leader Apprenticeship, supporting their progress, project implementation, and assessments while fostering innovation and productivity in their organizations.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

As an AI Technologist, you'll engage with customers to define AI strategies, support pre-sales, and collaborate on AI solutions, while leading innovation in the AI field.

The Senior DevOps Engineer will design, implement, and optimize ML/AI pipelines using Azure Databricks, ensuring AI models are production-ready and scalable.