Top AI Jobs in London

Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.

The Director of AI will drive AI strategy across the company, manage R&D efforts, lead adoption of AI workflows, and establish success metrics.

This role invites interested candidates to express their interest for future opportunities, emphasizing exceptional talent and a collaborative team environment dedicated to AI advancements.

Lead the data strategy focusing on AI, analytics, and customer personalization to enhance retirement experiences while building a high-performing data team.

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

As a Senior Machine Learning Engineer, you'll design evaluation frameworks, lead ASR quality improvements, and develop ML models for speech recognition and NLP tasks, ensuring integration into production systems.

The AI Researcher will develop foundation models for market predictions, improve model components, and leverage advanced computing resources to support trading decisions.

As a Lead AI Engineer, you'll architect and deploy generative AI systems, optimize large models, and lead teams in AI engineering across financial services.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The role involves driving sales in enterprise accounts, prospecting new business, managing sales cycles, and coordinating with internal teams to meet revenue goals.

The AI Implementation Manager will lead AI tool implementation, manage vendor relationships, ensure compliance, and uncover automation opportunities within customer service.

The Engagement Associate will work on the Impact team, focusing on customer success and solution engineering to drive change and measure impact through the adoption of Sana's AI-driven learning solutions.

The Solutions Engineer will provide technical support during pre-sales and implementation, engage with clients, address complex issues, and improve processes.

The Procurement Manager for IT & Telecoms will manage sourcing projects, negotiate contracts, and support category strategies while promoting sustainability and collaboration with suppliers.

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

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

Lead the FinTech legal team, providing strategic legal advice on compliance and product strategy across jurisdictions while managing legal risk and advising on regulatory frameworks.

As a Knowledge & Innovation Lawyer focusing on UK corporate transactions, you will create legal content, monitor developments, and support training and business development efforts.

Lead the global engineering team to scale the platform, develop new products, and ensure robust systems by fostering an engineering culture focused on impact.

The Senior Product Manager will collaborate with clients and teams to develop product strategies, oversee project delivery, and ensure solutions meet client needs with a focus on innovation and accountability.

The Channel Sales Manager will focus on driving revenue growth through strategic partnerships, managing partner relationships, and closing complex identity deals, while exceeding revenue targets.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Lead decision science and credit models while driving improvements in credit performance, policy, and strategy. Produce insights for risk monitoring and product pricing.

As an AI Engineer, you'll design and deploy scalable AI solutions, integrate large language models, and mentor teams on AI-assisted development, while engaging in client consulting and continuous learning in AI trends.

The Lead AI Engineer will architect AI systems, build backend services in Python, optimize models using real user data, mentor a team, and advise on product features.