Top AI Jobs in London

The ML/AI Engineer will benchmark GPU platforms for AI workloads, analyze GPU performance, optimize ML workloads, and develop performance visualization tools.

Manage the entire sales process for NiCE AI solutions, drive sales opportunities, develop relationships with executives, and contribute to pipeline generation activities.

The AI Operations Engineer will lead AI integrations into EdTech products, optimize AI systems, ensure reliability and compliance, and innovate with AI solutions for school operations.

Lead and manage the AI & Data Science function, set technical strategy, deliver AI solutions, collaborate across teams, and communicate impact to stakeholders.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The AI Automation Engineer designs and configures applications for customers, gathering requirements and offering technical support, while ensuring effective communication and engagement with clients.

Create AI-driven video ads for TikTok campaigns by using tools like Runway and Pika, editing for performance, and experimenting with formats.

As an AI/ML Engineer, you will design and develop AI-powered applications, integrate AI features into BPM systems, and collaborate with teams to improve operational efficiency through innovative AI solutions.

Lead the development of AI-native features, collaborating with teams to create innovative solutions, while maintaining focus on user needs and market trends.

The Lead AI Creator will develop Kainos' AI narrative, produce diverse content rapidly, and collaborate to amplify brand presence while measuring effectiveness.

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 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 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 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.

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

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 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.

The role involves analyzing large datasets to derive insights for business strategy, building AI solutions, and communicating findings to the CEO.

The AI Research Engineer will develop AI models to enhance product autonomy, analyze extensive data, and deliver impactful solutions, driving innovative product features.

Lead and deliver enterprise AI-ready data platform transformations: design cloud-native architectures, prototype AI-assisted pipelines, embed governance and compliance, mentor teams, and partner with executives to modernize data systems for real-time analytics and AI use cases.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.