Top AI Jobs in London

The Commercial Counsel will draft and negotiate agreements, advise on legal compliance in AI, and collaborate with global teams to support growth.

The Software Engineer III will develop cloud-native applications, enhance customer experiences with AI, ensure system reliability, and address software security issues.

As a Lead Software Engineer at JP Morgan Chase, you will develop cloud-native solutions using AI technologies and ensure secure, reliable operations throughout the software lifecycle.

Join a pioneering team in post-quantum cryptography, working on RISC-V based security solutions. Collaborate on innovative technologies in a flexible environment.

Manage API suppliers or Contract Manufacturers globally, conducting strategic sourcing, relationship management, and market intelligence while ensuring compliance and risk assessment.

This position invites individuals to express interest in future roles at Unlikely AI, focusing on innovative AI technology development and collaboration.

Join a community of linguists and contribute to AI through annotation, evaluation, and prompt creation in a flexible, remote role.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

The Network Systems Engineer provides pre-sales support, architects network solutions, conducts presentations, leads RFP responses, and collaborates with customers to design effective networking solutions.

Lead the design and execution of a strategy to enhance customer journeys using Generative AI, collaborating with cross-functional teams to drive improvements and innovation.

As an Agentic AI Data Scientist, you will develop and deploy intelligent agents, architect an open-source framework, and mentor researchers while driving business transformations through AI innovations.

The Audit Manager leads risk-based audits, manages audit projects, identifies concerns, and suggests process improvements, emphasizing teamwork and effective communication.

Join the Models Audit team to conduct risk-based audits, evaluate model risk management, and provide assurance on control effectiveness.

The HPC & AI Sales Specialist is responsible for driving sales strategy, managing accounts, and leveraging expertise to cultivate client relationships and grow sales pipelines within the high-performance computing and AI sectors.

IQVIA invites expressions of interest for new AI initiative roles in various areas including AI Science, Data Engineering, and Biomedical Science, as they build a world-class team for transformative AI solutions.

As a Senior Software Engineer, you'll enhance the AI-powered LexisNexis Classification product, optimize services, mentor developers, and engage in agile processes with a global team.

The Senior Applied AI Engineer will develop production-ready APIs, improve AI system reliability, and ensure compliance in legal services, working closely with AI researchers and software engineers to bridge the gap between research and applications.

The Senior AI Engineer will develop and scale Generative AI systems, enhance AI applications, and establish best practices for AI usage at Octopus Energy.

Lead the architecture of the Wayve Portal platform, ensuring scalability and compliance while collaborating with external teams to deliver robust solutions.

The role involves building AI-native driving intelligence, overseeing data curation, evaluation, and optimization, to enhance model performance in autonomous driving.

The Applied AI Engineer will develop AI features for consumers, optimize AI tools, and enhance workflows in the energy sector.

Lead AI engineering at Fuse Energy, developing AI features, optimizing models, and directing a team for scalable integration into the energy platform.

Develop and evaluate machine learning and AI systems for defense applications, collaborating on impactful projects, and integrating advanced technology into production systems.

The AI Research Engineer will advance robotics through reinforcement learning, designing and deploying AI agents in complex environments, collaborating with cross-functional teams.

The Principal Solution Architect, AI Agents will design scalable AI solutions, guide product teams, and prototype solutions on a central GenAI platform.