Top AI Jobs in London

The Senior Product Owner (Data / AI) will be responsible for leading the development of data-driven product domains, collaborating with analytics and AI teams, defining product strategies, and ensuring the execution and delivery of data & AI product features.

The Head of AI Assurance will develop AI safety frameworks within financial services, generate new business, and enhance market profile through thought leadership and senior stakeholder engagement.

Design, develop, and deploy intelligent AI agents, optimize large language models, enable collaboration in customer interactions, and maintain backend systems.

You will design, build and refine AI systems for legal applications, focusing on LLM agents and data evaluation frameworks.

Design and build production applications for LLMs, manage evaluation and reliability metrics, and ensure performance and cost-effectiveness in a fast-paced environment.

Help train large-language models to write production-grade code by comparing, ranking, repairing, and refactoring AI-generated code, while providing feedback for reinforcement learning.

The AI Software Engineer will train large-language models, compare code snippets, and provide feedback to improve AI-generated code. Requires strong C++ skills and attention to detail.

The role involves training large-language models by evaluating and refining code snippets, providing feedback, and maintaining an RLHF pipeline. Candidates need strong Python skills and code review expertise.

Join our team to help train large-language models by evaluating and improving AI-generated code, leveraging your coding and communication skills.

Help train large-language models to write production-grade code by ranking, repairing, and providing feedback on AI-generated code snippets, with a focus on logical correctness and performance.

As an AI Software Engineer, you'll help train large-language models in Rust by comparing code snippets, repairing AI-generated code, and providing feedback to enhance model learning.

This role involves training large language models to improve code through evaluation and feedback, focusing on correctness, efficiency, and communication.

Lead AI strategy and execution at Pigment, mentor a team in AI and data science, and drive AI integration across the organization.

Tavus seeks an AI Researcher to advance multimodal conversational intelligence through research, modeling human behavior, and collaboration with the Applied ML team.

The Senior AI Researcher will lead research on multimodal models for conversational avatars, focusing on video, audio, and language processing, and collaborate with the Applied ML team.

The Applied AI Engineer will onboard clients on Mistral AI products, manage complex integrations, and drive technological transformations through collaboration with stakeholders.

As a Senior Product Engineer in AI, you'll build systems for AI products, collaborate with teams, and enhance product experiences while mentoring others.

As Legal Counsel - Privacy, Product & AI, you will advise teams on data protection and AI compliance, draft contracts, and implement legal tools.

As a Staff AI Engineer, you'll lead AI projects, design systems for large document processing, mentor teams, and develop AI evaluation strategies.

Lead technology initiatives in data lifecycle management, drive technology vision and architecture, and serve as a mentor within Equinix and the industry.

The role involves designing and building complex, highly interactive UIs for AI workflows in Miro, collaborating closely with product and design teams, and focusing on performance and UX improvement.

As a Senior Full-Stack Engineer, you'll build tools across the Physical AI data stack, focusing on efficient data transfer, storage, and complex domain modeling, while collaborating effectively within a small team.

As Senior Procurement Manager, you will define category strategy, manage supplier relationships, optimize procurement processes, and drive value in Marketing & Advertising.

Develop, validate, and deploy state-of-the-art ML and deep learning models for biomedical prediction tasks. Deliver robust, tested code, collaborate with biologists and clinicians, and apply software engineering best practices across the model development lifecycle.

Lead data and AI strategy, assess feasibility and ROI, design architectures and operating models, implement governance and upskilling, perform hands-on data analysis, and advise C-suite clients on scalable AI solutions.