Top AI Jobs in London

Lead Finance AI strategy and roadmap across the Finance function, identify and deliver AI/automation opportunities, implement solutions, establish governance, and drive adoption and capability building.

Lead internal AI adoption by building capability, running an AI Champions programme, designing training and playbooks, owning the internal AI tool roadmap, coordinating platform pilots, partnering with IT/Academy/Analytiq, and ensuring safe, governed everyday AI use across the organisation.

Design, build and deploy agentic AI features and LLM-driven systems for secure, compliant environments. Integrate AI across backend and UI, optimise models (including perception/CLIP/CLAP), document for compliance, and deliver robust production solutions.

Support Solutions & Implementation leads with product configuration, data preparation, and platform implementation. Become a product expert, help coordinate launches, build workflows, and gradually take on customer-facing responsibilities and integrations while learning to drive customer success and adoption.

Lead end-to-end enterprise deployments of Omnea's procurement platform. Run stakeholder discovery, design approval workflows and integrations, direct AI-assisted tooling to build first-draft configurations, validate AI outputs, manage project timelines and stakeholder buy-in, track post-go-live adoption, and feed learnings into Product and Engineering. Typically runs 3-5 concurrent deployments and is measured on time-to-launch, CSAT, and customer references.

Design and ship production-grade AI features into established C# .NET products: prompt and context design, LLM integration, error handling, fallbacks, monitoring, and structured evaluation. Collaborate with product owners and engineers, prototype quickly, harden features, and document work so teams can maintain and adopt AI capabilities safely and effectively.

Build and ship production-grade AI features inside established C# .NET products: prompt and context design, LLM integration, evaluation, error handling, monitoring, and collaboration with product and engineering teams to deliver accurate, safe, measurable AI capabilities.

The Senior Product Manager will develop AI-powered customer experiences, drive product strategy, collaborate across teams, and oversee product delivery.

Deploy and integrate Latent Labs' generative biology models into customer environments. Lead end-to-end technical deployments, build production-grade APIs, data pipelines and model-serving infrastructure, work on-site with pharma/biotech partners, ensure enterprise security and reliability, gather customer feedback, and document integrations while collaborating with product and research teams.

As a Senior Python Engineer, you'll design and build the core infrastructure for AI forecasting systems, integrating data ingestion and reasoning mechanisms while contributing to technical strategy and team growth.

Lead the evolution of Tenable's multilingual delivery platform toward AI/LLM-led localization. Design event-driven, API-first translation pipelines, integrate LLMs into production workflows, extend AI-led delivery across content types, define standards and governance, build AI-powered reporting, and deliver key initiatives while coordinating distributed and contracted engineering partners.

Design, build, and operate a secure, high-performance sandboxing platform and client library for code execution across containerized and virtualized environments. Ensure strong isolation, optimize latency and resource use, debug and reduce errors, respond to incidents, and drive roadmap and architecture reviews while partnering with internal users.

Define and own the quality bar for Spotify's AI voice models by designing evaluation rubrics, running qualitative and MOS-style campaigns, benchmarking against competitors, and turning findings into actionable recommendations for product, production, and ML teams.

Lead design, governance and delivery of enterprise-grade AI capabilities for Global Markets. Define AI platform standards, reusable components, risk controls and release governance. Build RAG frameworks, evaluation harnesses, connectors and monitoring; enable citizen and function-led AI safely; partner with Risk, Cyber, Legal and business stakeholders to ensure compliant, auditable, and resilient AI operations with measurable business benefits.

Conduct deep technical research to discover novel risks and attack vectors in cloud- and AI-native environments. Produce proofs of risk and technical POCs, define foundational product capabilities, and collaborate with Product and Engineering to translate research into implemented security features and investigations.

Lead presales, GTM and demand-generation for Cyber & AI Security. Own proposals and pipeline, coordinate architects and engineers, manage partner (Microsoft) engagement, convert delivery into case studies, and feed market signals into Product and Services.

Drive new-logo acquisition for AI and cloud infrastructure customers across UK&I. Own end-to-end enterprise sales cycles, execute outbound prospecting, design multichannel outreach, close large-scale data center and cloud deals, and collaborate cross-functionally to deliver GTM strategies and partner relationships.

Lead CMS and web platform modernisation efforts, prototype AI/agentic POCs, and support the Principal Engineer to shape technical direction. Investigate where AI adds value, refocus the CMS team on higher-value marketing work, improve scalability and management, and collaborate with stakeholders to define pragmatic technical approaches and roadmap.

Lead definition, delivery and adoption of enterprise AI products and agentic platform capabilities. Set product vision and roadmap, validate opportunities through discovery and experimentation, define success metrics, embed Responsible AI and controls, partner with engineering and stakeholders, and drive measurable business value while balancing risk, cost, and maintainability.

Own and execute global go-to-market strategy for the Optimisation portfolio (PSO, MSO, WISE). Define proposition, build sales plays, drive pipeline generation and strategic deal support, and align Product, Sales, Marketing, Customer Success and Partners to grow revenue and adoption.

Lead and own enterprise AI platform deployments embedded with clients, delivering time-to-value, reliability, adoption, and scalability. Architect and govern end-to-end AI solutions, run rapid experiments to production, shape strategy and ROI roadmaps for C-level stakeholders, publish reusable blueprints, and manage engineering teams to scale Forward Deployed Engineering capabilities.

Lead development and governance of a centralized catalog of reusable AI components (prompts, agents, templates, RAG patterns). Define standards, manage lifecycle (intake, tagging, publishing, deprecation), ensure compliance with infrastructure and security, collaborate with engineers to productize reusable assets, monitor usage and impact, and support enterprise AI best practices and adoption.

Work with strategic enterprise customers to identify high-impact AI opportunities in procurement, design scalable AI-powered solutions on Omnea's platform, rapidly prototype proofs-of-value, run workshops, and drive implementation, adoption, and measurable business impact across procurement, finance, and supply chain.

Build, deploy, and maintain AI-powered web applications for government and industrial customers. Work end-to-end: define product specs with customers, implement front-end and back-end systems, integrate data pipelines and sensor networks, optimize performance and reliability, and support deployed systems globally. Collaborate with cross-functional teams, mentor junior engineers, and travel on-site to deliver production-grade solutions.

Deploy and optimize LLM-based solutions for real-world government, healthcare, and energy problems. Build scalable data pipelines, productionize models (RAG/agents), monitor performance, engage stakeholders including government officials, and collaborate with cross-functional teams to deliver impactful AI products.