Top AI Jobs in London

The AI & ML Engineer will oversee the entire AI/ML lifecycle, collaborating with stakeholders to develop and implement scalable, efficient solutions while ensuring the security and robustness of ML systems.

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.

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

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

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.

Lead the end-to-end launch of Gemini API and AI Studio features, coordinating across teams to overcome technical challenges and deliver improvements.

Design and deploy generative AI solutions, collaborate with experts, and drive scalability of offerings using LLMs for industrial customers.

The Applied AI Engineer will support customer adoption of AI products, integrate AI models into applications, and improve product capabilities based on feedback.

Join Codurance as an AI Engineer to build AI capabilities, develop innovative solutions, share knowledge, and contribute to client delivery in AI projects.

Develop and implement AI features for the construction industry, work with LLMs, and collaborate across teams to enhance product offerings.

Responsible for designing, implementing, and maintaining cloud infrastructure focused on Kubernetes and containerization, while building and leading a team for release management and operations.

The AI Sales Strategy Senior Manager drives global customer strategy for Genesys AI solutions, leading strategic planning, analytics, and operational efficiencies to enhance sales performance and alignment across departments.

Lead Visa's privacy operations by automating processes, developing dashboards, and integrating AI tools to enhance workflow efficiency and compliance with global regulations.

As an AI Engineer, you'll design and maintain AI frameworks, operate RAG pipelines, integrate AI components, and collaborate with teams to deliver solutions.

The AI Product Manager will own and scale the Agentic Development product, expand capabilities, drive adoption, and reduce development lead times through cross-functional collaboration and communication.

As an AI Engineer, you'll design, develop, and deploy AI solutions focused on NLP, LLMs, and more, collaborating with various teams.

Lead Legal Operations projects and AI integration for efficient contract management. Ensure project delivery excellence and data reporting for legal services.

The Product Manager will oversee the AI platform's roadmap, deliver user-centered products, and collaborate with teams to ensure compliance and effectiveness.

The HPC Platform Engineer will manage AI platform operations, providing L1 and L2 support, coordinating with vendors, monitoring systems, and optimizing resource allocation.

The AI/ML Engineer will develop AI-powered simulation systems, maintaining LLM orchestration and semantic search pipelines while collaborating with engineers on scientific accuracy.

Design and build high-performance web applications for semiconductor companies, working closely with AI researchers and product teams to enhance user experiences.

Lead the development and scaling of an AI Adoption platform, driving customer engagement and product strategy while overseeing cross-functional teams and P&L management.

Contribute to the design and delivery of AI infrastructure and services, collaborating on critical projects and applying best practices across AI initiatives.

As an AI Engineer, you'll build production-grade GenAI systems, enhance customer operations with chatbots, and streamline business processes using AI technology.

Lead design for AI-powered products, focusing on intuitive workflows and multi-agent interactions. Collaborate with teams to create experiences and improve quality through data analysis.