Top AI Jobs in London

The AI Tooling Engineer will build full-stack applications, design ML pipelines, collaborate with researchers, and integrate open-source frameworks to enhance user interfaces for generative AI.

The AI Data Manager will design data annotation strategies, manage data pipelines, and collaborate with researchers to enhance AI models.

The Staff Product Engineer (AI Focus) will build AI-driven features in TypeScript, own AI systems, design evaluation frameworks, and ensure reliability at scale, impacting user learning experiences.

Lead planning and production of global AI regulatory services marketing campaigns, create and distribute assets, support sales enablement, track KPIs and optimize performance, conduct market and competitor analysis, and manage multiple projects across regions to drive brand awareness and lead generation.

As an AI Services Consultant, you will provide technical solutions, optimize AI implementations, manage projects, and ensure customer satisfaction for Zendesk AI products.

As an AI Services Consultant, you will provide expert guidance on Zendesk's AI solutions, ensuring clients achieve operational excellence and high customer satisfaction through effective project delivery and technical support.

The Lead Power Platform & AI Architect will manage the end-to-end architecture, delivery, and governance of intelligent solutions using the Power Platform and AI technologies, while coordinating cross-functional teams and ensuring alignment with editorial standards.

The Senior AI Engineer will leverage AI tools, manage software engineering projects, and communicate effectively with cross-functional teams in a fast-paced environment.

Xaira Therapeutics seeks AI Scientists with a PhD in AI or related fields for collaborative work in drug discovery using generative AI models.

The Senior Software Engineer will develop scalable backend systems and AI features using Python and LLMs, driving technical standards and mentorship.

The Senior Machine Learning Engineer will design evaluation frameworks, diagnose model performance, develop ML systems, and mentor junior engineers while collaborating across teams.

Lead product development for AI-driven tools by conducting market research, validating product strategies, and collaborating with teams to ensure successful product delivery.

As an Applied AI Solution Engineer, you will design, build, and deploy AI applications, interact with clients, and solve technical problems, leading teams and ensuring solution quality.

The role involves implementing AI safety strategies, building evaluation frameworks, and developing safeguards against scientific risks from AI models. Candidates must possess strong technical knowledge and communicate complex concepts effectively.

As a Pre-Sales architect, you'll advise enterprise customers on integrating Claude AI, overseeing technical solutions from discovery to deployment, while collaborating with multiple teams.

The AI Engineer will design and optimize transformer architectures, fine-tune large language models, implement prompt engineering strategies, and collaborate on AI solutions with cross-functional teams.

The Applied AI Engineer will onboard customers, deploy AI applications, and collaborate with teams to resolve technical challenges and drive technological transformation.

The role involves pre-sales and sales support for AI Security products, technical engagement with customers, creating strategic visions, and enabling internal teams.

The Staff Software Engineer - AI/ML will lead development of AI solutions, manage AI/ML teams, and optimize model performance and data pipelines.

Serve as a subject-matter expert advising CFOs and controllers on transforming controllership, AP/AR and financial close using AI and automation; produce research, vendor guidance, and present insights to global clients.

The Principal Software Engineer will architect AI-enabled platforms, mentor senior engineers, and lead cross-team architectural discussions, with a focus on secure, scalable solutions on AWS.

Join Google DeepMind to create compelling written content about AI research. Collaborate with scientists to translate complex concepts for various audiences.

Lead the design and execution of AI features across various interfaces, ensure production readiness, and collaborate with cross-functional teams to enhance user experience.

Design and build backend services that integrate AI capabilities into payroll workflows. Collaborate with ML engineers and operations to deploy AI-powered tools, implement API integrations, and manage ETL pipelines for unstructured data.

The Senior Director will drive AI marketing strategy, guide marketing leaders, produce research, deliver advisory services, and establish credibility as an industry expert.