Top AI Jobs in London

Supports the internal audit plan by planning audit engagements, identifying risks and controls, conducting testing and analysis, documenting findings, communicating results, and confirming conclusions with stakeholders. The role owns complex audit components, coordinates supporting colleagues, and applies internal audit methodology across business processes, controls, and applications.

Lead UK&I enterprise sales strategy for existing defense and public-sector customers and targeted net-new accounts. Own territory vision, pipeline development, quota execution, executive relationships, and revenue growth across Veeam’s data resilience portfolio. Coordinate distributed internal teams and collaborate with channel partners, hyperscalers, and system integrators to accelerate enterprise adoption in hybrid-cloud and cloud-native environments.

Analyze complex shipping datasets, create data sources, and build dashboards that communicate actionable insights. Translate client and business needs into analytical solutions, identify market trends and disruptions, and collaborate with product, data, engineering, and commercial teams. Use SQL and AI tools such as Claude Code, Copilot, and ChatGPT to accelerate analysis, automate workflows, improve reporting, and develop impactful analytics products.

Provides administrative, secretarial, technology, and data support to a Company Secretariat team. Responsibilities include coordinating board and committee meetings, preparing agendas and minutes, managing board papers in Diligent Boards, maintaining entity and director records, processing transactions and expenses, arranging travel, and supporting technology, automation, AI adoption, compliance, and governance activities.

Lead product direction and build agentic AI systems for autonomous merchandising optimisation: prototype multi-agent flows, take prototypes to production, define trust/governance, drive measurable experiment throughput and conversion uplift, and partner across engineering, data science, and brand teams.

Define and deliver AI-powered analytics and decision-support products. Set strategy and roadmaps, partner with engineering and analytics teams to build LLM/RAG-driven conversational and agentic experiences, translate customer needs into requirements, use data to measure performance, and ensure trust, governance, privacy, and responsible AI practices.

Build Nebuly’s UK enterprise sales presence from scratch. Generate pipeline through an existing network, own the full sales cycle from prospecting through close, and sell €100K+ ACV solutions to mid-market and enterprise accounts. Navigate complex, multi-stakeholder deals involving product, AI, IT, legal, and procurement teams. Represent Nebuly at events, develop system integrator and advisory partnerships, and build the company’s initial UK customer base.

Lead end-to-end Payments AI transformation projects: plan, govern, and coordinate delivery with Product, Technology and firmwide stakeholders. Drive cross-functional teams, establish governance, track success metrics, manage risks, and ensure data and solutions are implemented to meet strategic objectives.

Lead workshops, architect and design Workday Extend applications, deliver requirements and design to developers, manage and guide Extend consultants, liaise with clients and Workday, and support pre-sales and AI-enabled solutioning.

The Senior Data Scientist will unify technical vision, develop and deploy ML models, and enhance AI strategy across teams. Responsibilities include collaboration, ownership of projects, and maximizing value through AI and data science techniques.

The Proposal Manager will lead RFP processes, manage proposal strategies, and work collaboratively across teams to enhance response effectiveness, directly impacting revenue and brand perception.

Design, build, and operate reliable, scalable AI/ML platform infrastructure. Develop observability, resilience, security, and automation tooling, own NFRs, participate in on-call rotations, troubleshoot production issues, and collaborate cross-functionally to support large-scale AI deployments.

Own the function’s AI transformation strategy, prioritize high-impact opportunities, map workflows, and drive measurable adoption. Build and manage AI agents using no-code and low-code tools, configure skills and MCP connections, evaluate agent performance, and iterate solutions. Lead change management, champion networks, cross-functional collaboration, intake processes, and alignment with Enterprise AI and executive stakeholders.

Lead complex Edwin implementations for enterprise customers, design advanced integrations across observability and ITSM platforms, own architecture for event ingestion, alert correlation, incident/ticket workflows, and mentor delivery teams to reduce risk and accelerate time-to-value.

Lead field-facing AI security strategy for enterprise customers by designing secure LLM/RAG architectures, delivering demos and POVs, advising on data protection and unsanctioned AI usage, and scaling enablement and product feedback across sales, product, and engineering teams.

The Senior Applied Scientist will lead research projects in AI/ML for various legal and taxation solutions, focusing on developing scalable AI capabilities while mentoring junior team members.

Lead strategy and roadmap for AI Access products that let publishers control agent access, deliver specs and launches, partner with engineering, design, research, GTM, and BD, and represent the product externally to publishers, AI labs, and developers.

Design and build evaluation, observability, and reliability infrastructure for AI/LLM/agent workflows. Define SLOs/SLIs, monitoring, drift detection, testing pipelines, and guardrails. Partner across platform, product, security, and data science teams to enable safe, scalable AI adoption and participate in on-call rotations.

Lead scientific and strategic AI efforts for Vaccines Medical: define AI vision and roadmap, govern responsible AI standards, prioritize and deliver validated AI-enabled solutions, partner cross-functionally, oversee deployment and adoption, manage budget and vendors, and ensure regulatory, ethical, and scientific compliance across global medical affairs.

Lead the DBA team and deliver Oracle database consultancy, implementations, migrations, upgrades and support for healthcare solutions. Responsibilities include installing, configuring, patching, backup/recovery (RMAN), performance tuning, RAC administration, disaster recovery design, customer-facing consultancy, pre-sales input, training, and on-call support. Promote AI/automation opportunities and collaborate with development and technical teams to improve scalability, reliability and operational efficiency.

Support the Social Media team by administering the creator community, monitoring inbound creator interest, shortlisting leads, managing social assets and the DAM, preparing reporting and post-campaign recaps, gathering campaign outputs, and assisting with administrative and coordination tasks to scale creator and content operations.

Lead enterprise digital commerce strategy and execution to drive volume, revenue, share, and profit across online grocery, quick-commerce, and AFH platforms. Embed data, analytics, and AI into forecasting, pricing, assortment, and activation. Orchestrate company and bottler alignment, co-lead retail media investment, run test-and-learn pilots, and scale innovations while managing KPIs and platform economics.

Conduct hardware-aware AI research: generate ideas, design and run ML experiments, implement performant scalable systems, publish and present results, and collaborate with researchers, silicon and software engineers to guide next-generation AI hardware.

Lead consultative enterprise sales for Atlassian's Teamwork Collection across assigned EMEA North accounts. Develop and execute territory and account plans, drive end-to-end solution selling from discovery to close, coordinate cross-functional GTM teams, uncover expansion opportunities, manage pipeline in Salesforce, and relay customer feedback to product teams.

Lead identification, prototyping, and production deployment of AI solutions to transform risk operations. Partner across Operations, Engineering, Data Science, Product, and Compliance to build, monitor, and iterate AI agents and low-code/no-code tools, ensuring regulatory compliance and operational scalability.