Top AI Jobs in London

As an AI Engineer, you'll design and build intelligent systems that autonomously optimize operations, work with data science teams, and establish AI engineering foundations, including observability and cost optimization.

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

The Principal AI Software Engineer will design retrieval systems, optimize production, and work directly with customers to implement AI solutions for legal documents.

The Cyber and Information Risk Lead will manage risk governance, oversee risk assessments, provide expert guidance on information security, and ensure compliance with regulatory frameworks.

The Manager of Product Development supports the execution of new market products, engages in idea generation, develops product concepts, and collaborates with cross-functional teams for successful market testing and delivery.

As an Applied AI Engineer, you will build AI applications for public sector clients, create and evaluate datasets, and collaborate with teams to address challenges using AI solutions.

The role focuses on enhancing customer value through community and content programs, driving adoption and loyalty while collaborating across teams.

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.

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.

Recruiters are needed to hire top talent in AI and Web3/Crypto industries. Candidates should have technical hiring experience and excellent communication skills.

The AI Engineer will develop AI-driven features, utilizing LLMs and agent architectures, ensuring quality and customer impact through collaboration in a dynamic team.

As a Demand Generation Manager, you will create and execute campaigns targeting AI and App audiences, manage multi-channel marketing efforts, and drive performance analysis to optimize ROI.

As a Lead AI Engineer, you will design and deliver AI solutions using machine learning and cloud technologies, mentor a team, and ensure responsible AI practices.

As an Applied AI Engineer, you'll manage ML model lifecycles, build data pipelines, develop AI features, and collaborate with backend engineers to integrate models into production systems.