Top AI Jobs in London

Own CreateFuture’s strategic OpenAI partnership, building relationships across OpenAI’s partner, sales, GTM, and industry teams. Develop and execute the partnership strategy, generate co-selling and partner-influenced opportunities, connect OpenAI with clients and capabilities, mobilize internal teams, strengthen credentials, manage partner-program operations, and track pipeline and commercial outcomes.

Leads complex client software engagements through hands-on development, architecture, solution design, delivery management, and technical decision-making. Manages and mentors engineers, establishes engineering standards, troubleshoots complex issues, and oversees scope, estimation, planning, risks, dependencies, and outcomes. Builds trusted client relationships, translates business needs into technical plans, manages expectations, and identifies follow-on opportunities. The role also contributes to recruitment, pre-sales, consultancy practices, and technology thought leadership.

Leads product strategy execution for a domain, manages and develops Product Managers, drives portfolio prioritization and OKRs, and ensures measurable outcomes. Coaches teams on discovery, AI-first workflows, customer engagement, stakeholder alignment, and regulated GxP software development. Partners with strategy, engineering, sales, and customer-facing teams while maintaining product quality, regulatory readiness, and cohesive cross-domain execution.

Leads Gigaton’s Solutions team and owns deployment of AI systems across industrial customer plants. The role is responsible for scaling from 9 to 50 live plants, reducing deployment timelines, converting bespoke work into repeatable product capabilities, managing escalations, defining evaluation success, developing post-sales operations, and hiring and coaching a high-performing deployment organization. Requires customer leadership, hands-on deployment experience, and approximately 25% travel to global plants.

Leads full-cycle sales of Data and AI solutions, including data readiness assessments, modern data platforms, governance, analytics, and applied AI. Builds pipeline, develops customer relationships, manages proposals and negotiations, closes deals, and achieves revenue targets. Partners with Microsoft and other vendors, account teams, solution architects, and delivery teams to create transformation roadmaps and co-sell opportunities. Serves as a Data and AI subject matter expert while translating technical concepts into commercial value for strategic UK customers.

Leads customer-facing AI solution architecture, pre-sales engagements, use-case development, technical demonstrations, and end-to-end design of AI platforms, data pipelines, machine learning systems, and MLOps environments. Acts as an AI subject-matter expert connecting customers, sales teams, partners, and technical architects while supporting offering development, sales enablement, thought leadership, and team development.

Leads CDW’s UK Data & AI Solution Sales business, defining strategy, scaling data-readiness and AI propositions, growing revenue and profit, and managing customer, vendor, and partner relationships. The role oversees teams spanning data platforms, engineering, governance, analytics, and applied AI; develops go-to-market plans; ensures responsible, compliant solution selling; builds Microsoft and strategic vendor alliances; and drives talent development, forecasting, operational standards, and customer outcomes.

Supports the Chief Data and Analytics Officer by identifying operational risks, designing and evaluating controls, managing control issues and remediation, coordinating audits, supporting regulatory engagements, and overseeing governance and reporting. The role presents updates to senior management, collaborates with control managers, and helps establish best practices for data, AI/ML, and finance control environments.

Leads Yondr’s global cost estimating and benchmarking strategy for large-scale data center construction. Responsibilities include developing estimates from concept through construction documents, maintaining cost benchmarks, managing central estimating resources, analyzing project data, improving forecasting processes, supporting international projects, and presenting recommendations to senior leadership. The role partners with design, engineering, procurement, finance, and operations teams while exploring AI and machine learning to improve cost-efficiency and forecasting accuracy.

Serves as the technical authority for a GitLab product group across complex enterprise pre-sales opportunities. Leads technical discovery, architecture, workshops, demonstrations, Proof of Value evaluations, executive briefings, competitive positioning, and customer handoffs. Builds reference architectures, demo environments, playbooks, battlecards, and enablement content while mentoring Account Solutions Architects. Partners with Product, Engineering, Marketing, and post-sales teams to deliver customer feedback, adoption, and production outcomes.

Lead Conduct’s visual brand expression across digital, print, motion, events, and campaigns. Responsibilities include evolving the visual identity, creating scalable storytelling systems, designing websites and social content, directing photo/video/3D production, managing external creative partners, and collaborating with founders, engineers, product design, and marketing teams. The role requires strong creative direction, hands-on execution, exceptional taste, and the ability to explain complex enterprise and AI technology through compelling design.

Identify inefficient manual processes across business teams and design, build, test, deploy, and maintain reliable automation solutions. Collaborate with technical and non-technical stakeholders, use programming languages, APIs, workflow tools, data processing, and AI, and measure automation impact. Own projects from discovery through implementation while documenting solutions, monitoring reliability, gathering feedback, and continuously improving workflows.

Define the vision, strategy, requirements, and roadmap for AI products. Collaborate with engineering, design, and marketing teams to deliver solutions, conduct market and competitive research, analyze product performance, and iterate based on customer feedback and data.

A 12-month industrial placement within Nationwide’s Risk function, combining practical data analysis, AI exposure, risk assessment, control reviews, process improvement and evidence-based decision-making. The role includes collaborative projects, structured learning, stakeholder engagement and opportunities to explore emerging technologies. Applicants must be studying toward an undergraduate STEM degree and will work hybrid from the London office at least two days per week.

Leads UKI strategic direction, priorities, success measures, portfolio strategy, and pivotal initiatives. Partners with senior leadership, business owners, research, BI, and strategy teams to develop insights, drive strategic projects, build consensus, and create Board-ready materials. Requires strong analytics, presentation, financial modeling, stakeholder management, and independent project leadership skills, with strategy consulting or equivalent corporate experience.

Executive technology and transformation leader responsible for shaping organisational technology strategy and overseeing Technology, Finance and People. The role advises the Chief Executive and Board, leads sustainable improvements across learning platforms, data, AI and automation, and builds the capabilities, resources and partnerships needed to expand the charity’s educational impact nationally and internationally.

Design user experiences for an agentic AI platform used by large organizations. Responsibilities include user research, UX/UI and interaction design, prototyping, user testing, A/B testing, impact measurement, roadmap shaping, and collaboration with product, engineering, and research teams. The role focuses on making complex AI workflows understandable, trustworthy, and intuitive while contributing to design systems and exploring code and AI-assisted design workflows.

Leads Azure and artificial intelligence sales strategy for complex global enterprise accounts. Engages senior executives, identifies opportunities, aligns cloud solutions with business priorities, orchestrates internal and partner teams, manages pipeline forecasting, and drives secure digital transformation and customer adoption across industrial manufacturing and communications organizations.

Own and improve Technology and Cyber control libraries and standards. Translate regulations and frameworks into control requirements, implementation guidance, evidence expectations, and mappings. Lead reviews, governance approvals, traceability, remediation tracking, audits, regulatory assessments, and RCSAs. Partner with control owners, security specialists, risk, and audit teams to challenge weaknesses. Use analysis, automation, and approved AI to improve data quality, duplicate detection, reporting, and workflow efficiency.

Lead compensation programs across the UK and European markets, including salary structures, benchmarking, incentives, pay equity, gender pay gap reporting, job architecture, and pay transparency compliance. Partner with People, Legal, Talent Acquisition, and global compensation teams on projects and core processes. Approve Workday compensation transactions and provide accurate analysis, reporting, and insights while handling confidential employee data.

Own the B2B sales pipeline and revenue for AI and data services. Responsibilities include outbound prospecting, qualifying technical buyers, managing complex pilots and recurring contracts, developing partnerships and channels, shaping pricing and commercial terms, protecting margins, and feeding customer demand into product and operations. The role requires experience selling AI/ML data, annotation, licensing, or related technical services to research and enterprise buyers.

Lead NVIDIA’s engagement with AI-native startups, scaleups, and labs. Understand customer needs, develop AI technology solutions, coordinate technical and business resources, drive adoption and partner growth, create customer references and case studies, identify emerging use cases, and represent NVIDIA at industry events.

Leads technical strategy for complex enterprise opportunities across the UK, focusing on Zeta Marketing Platform and related customer data, identity, analytics, AI, personalization, and orchestration solutions. Responsibilities include strategic discovery, solution design, executive workshops, tailored demonstrations, technical evaluations, RFPs, proof-of-concepts, migration planning, and delivery handoffs. The role also mentors consulting colleagues, supports enablement, informs product and go-to-market strategy, and represents Zeta at industry events.

Lead product strategy and cross-functional delivery for agentic AI products that automate large-scale bank operations. Own roadmaps, product requirements, prioritization, lifecycle execution, and launch outcomes. Translate business and user needs into AI workflow solutions, guide engineering and design decisions, evaluate product quality and reliability, and communicate progress and trade-offs to senior leaders. The role requires familiarity with large language models, prompting, retrieval-augmented generation, fine-tuning, context engineering, and agentic frameworks.

Design and implement explainable AI/ML solutions, multi-agent systems, and production-grade data science tools for Risk Management and Compliance. Develop secure code, APIs, batch pipelines, monitoring, and retraining processes while partnering with Product, Engineering, Model Risk, Compliance, and business stakeholders. Support Responsible AI standards through documentation, fairness testing, human-in-the-loop controls, Agile delivery, and operational integration.