Top AI Jobs in London

The Principal AI Content Designer will develop AI-driven content systems for the Wise Assistant, collaborate across teams on strategy, elevate design quality, and coach content designers.

As an AI Transformation Owner at GitLab, you will shape AI strategies, improve workflows, and drive adoption of AI solutions in your organization, working closely with an AI Engineer.

Join the Data Science team to innovate solutions for data problems, develop forecasting models, and enhance quant strategies using machine learning.

The Senior Account Executive will drive high-velocity deals in AI and Digital Native companies, engaging founders and CTOs while leveraging local market knowledge to convert prospects into customers.

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 involves developing solutions for AI-generated code post-training, collaborating with a team, and innovating new products with a focus on high-quality coding standards.

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

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

As a Principal AI Content Designer, you will lead content strategies, leverage AI to enhance customer support, and collaborate across teams to deliver impactful projects in FinCrime.

Forward Deployed AI Engineers develop Gen AI solutions by building workflows, implementing strategies, and solving real-world problems at scale with clients.

The role involves leading insights into AI strategies for legal departments, providing unique research and guidance, and engaging with top legal executives on technology adoption and governance.

The Field CTO will serve as a strategic advisor to C-level executives, driving innovation in Process Intelligence and Enterprise Modernization while ensuring technology aligns with market needs.

The Data Science Lead will lead a team of data scientists in developing ML systems for logistics, overseeing the entire lifecycle from research to production.

The Account Executive will drive the full sales cycle for enterprise-level cybersecurity solutions, manage existing accounts, and build relationships with key stakeholders in Central and Eastern Europe.

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

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

The UX Researcher will explore AI technologies, lead research studies, and provide insights to develop breakthrough generative AI experiences at Google DeepMind. Responsibilities include collaborating with cross-functional teams, designing methodologies, and shaping product strategy through user research.

Support supervision of trading venues across equities, derivatives and commodities. Lead and contribute to workstreams, identify emerging market and operational risks, coordinate team activity, produce clear communications, and collaborate with stakeholders to deliver regulatory outcomes and uphold market integrity and resilience.

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.

As a Staff Backend Engineer at GitLab, you'll enhance backend infrastructure for CI, integrate AI features, and ensure reliability and performance in CI/CD workflows.

As a Research Engineer, you will bridge Product Management and Engineering by investigating AI capabilities, validating approaches, and shaping product strategies through rigorous research and testing.

Manage the Onboarding Risk team across regions, ensuring high-quality risk decisions, developing team members, and owning onboarding risk procedures. Support complex escalations, collaborate cross-functionally, and keep processes compliant with card scheme rules and payments legislation while improving KPIs and decision frameworks.

Manage a team of data scientists to build ML systems for logistics, overseeing the entire lifecycle, mentoring, and collaborating with technical teams.

Responsible for executing IT and operational audits, ensuring compliance, identifying risks, and enhancing governance. Collaborates with stakeholders and implements risk resilience frameworks.

The GCP Compliance Manager ensures adherence to Good Clinical Practice in clinical trials, providing guidance, oversight, and managing compliance-related activities across studies.