Top AI Jobs in London

Lead development and deployment of multimodal neural search and ranking models for personalized learning. Conduct research, prototype and productionize deep learning NLP/IR solutions, collaborate cross-functionally, mentor junior scientists, and establish ML best practices.

As a Senior AI Product Manager, you'll lead AI product vision and strategy, collaborate with technical teams, and drive customer-centric product development.

Support execution across Finance, Legal, Compliance, and People Operations, focusing on process design, automation, and precision in a fast-paced environment.

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

The Technical Consultant will lead customer engagements with Microsoft Copilot, providing solutions for AI adoption, and ensuring successful project delivery.

The AI Business Development Manager will engage with clients, identify sales opportunities, manage client relationships, and convey complex AI standards and services effectively.

Applied AI Engineers will define and deliver AI systems for business value, collaborating with customers, building real products, and advancing AI tools.

The AI Enablement Specialist will drive AI tool adoption, provide training and support, evaluate AI tools, and engage with teams to integrate AI into workflows.

The Forward Deployed Recruiter is responsible for expanding an engineering team by hiring top talent, working closely with company founders, and leveraging AI in the recruitment process.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The Lead Product Marketing Engineer will drive awareness and engagement for DataRobot's Agentic AI platform, crafting narratives, creating content, and managing partnerships to inspire C-level executives and technical audiences.

The Growth Marketing Manager will lead marketing initiatives, optimize the funnel, use AI tools for performance, and collaborate across teams to drive growth for Mindvalley’s Innovation Team.

As a Senior AI Research Scientist, you will lead AI research in LLM, MLLM, and computer vision, developing models and algorithms for real-world applications, while mentoring junior scientists and contributing to publications.

The role involves developing sophisticated LLM-powered autonomous agents, integrating intelligent services, and ensuring systems' scalability and reliability. Responsibilities include architecting AI modules, leading agile sprints, and monitoring production lifecycle with CI/CD roles.

Lead technical initiatives for Generative AI in logistics, design architecture, implement evaluation pipelines, and mentor engineers.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

The AI Automation Engineer will design and deploy intelligent systems to automate business processes, improve operational efficiency, and integrate various APIs. Responsibilities include analyzing workflows, building AI-powered solutions, and ensuring reliability through systematic approaches.

The AI Strategist will lead enterprise accounts, shape AI strategies, engage with C-level executives, and drive AI adoption and transformation by collaborating with cross-functional teams.

Lead an agile delivery team in all aspects of the data and analytics lifecycle, designing scalable data platforms and solutions and influencing project success.

The role involves developing a communications strategy for Nokia's Technology and AI organization, working closely with senior executives to craft compelling narratives and ensure integration of messaging across various communications channels.

Create and edit short-form vertical videos for social media using AI tools, ensuring quality, character consistency, and appropriate syncing of audio elements.

The Senior Director will drive AI marketing strategy, guide marketing leaders, produce research, deliver advisory services, and establish credibility as an industry expert.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.