Top AI Jobs in London

Lead trust and safety for an AI mental-health product by developing policies, investigating risks and user reports, building response processes, and translating findings into product improvements. Collaborate with clinical, legal, research, engineering, and machine-learning teams. Communicate safety principles and evaluations internally and externally, establish benchmarks, manage sensitive cases, and continuously improve operational systems and policies.

Support the firm’s knowledge management function by maintaining legal know-how, document repositories and intranet resources; conducting legal research; drafting and summarising content; coordinating training and learning activities; and contributing to legal technology and AI initiatives. The role partners with Knowledge Lawyers and business teams to improve knowledge sharing, develop legal updates and publications, and enhance operational efficiency across the firm.

Leads enterprise talent management and workforce readiness, including performance management, succession, talent reviews, workforce planning, skills strategy, and leadership development. Partners with senior leaders and HR teams to identify workforce gaps, assess impacts of AI and organizational change, establish talent governance, and drive adoption of talent practices. Manages a Talent Operations and HR Business Analyst and external partners.

Own executive client relationships and the full engagement lifecycle for complex enterprise accounts. Lead governance, program success, adoption strategy, enablement, renewals, escalations, and account expansion. Partner with C-suite stakeholders, engineers, product teams, and account executives to deliver measurable business outcomes, resolve complex delivery issues, build business cases, and grow long-term customer partnerships.

Develop and implement AI safety principles, policies, and operational processes for a mental health product. Investigate user reports and emerging risks, coordinate triage and escalation, translate findings into product improvements, and communicate safety practices internally and publicly. Collaborate with clinical, legal, engineering, research, and machine learning teams while handling sensitive information and making decisions under uncertainty.

Lead backend architecture and technical direction across multiple squads and client programmes. Design and scale distributed systems, microservices, databases, APIs, and Azure cloud-native environments while balancing cost, security, performance, and user experience. Advise client stakeholders, mentor senior engineers, establish technical standards, foster engineering communities, and promote AI adoption across the software development lifecycle.

Lead Ofcom’s technical strategy for AI and machine learning in online safety. Assess AI systems for safety, fairness, robustness, transparency, and accountability; shape AI governance and assurance approaches; lead research and complex technical programmes; advise senior leaders; engage external stakeholders; and build organisational capability through mentoring, knowledge sharing, and multidisciplinary leadership.

Leads Darwin’s product portfolio, roadmap, product strategy, and delivery outcomes while managing a 10-person Product and UX organization. Partners with commercial, technology, service delivery, risk, legal, and client teams to align priorities, drive product adoption, and achieve measurable results. The role also leads AI and automation strategy, Responsible AI governance, user experience quality, commercial positioning, stakeholder communications, and continuous improvement across a complex enterprise SaaS environment.

Partner with enterprise revenue leaders to drive transformation using Gong’s AI Operating System. Architect AI-enabled workflows, lead adoption and change management, quantify ROI, and manage renewal and expansion strategies. The role involves executive stakeholder engagement, cross-functional collaboration, and delivering measurable customer outcomes across the revenue lifecycle.

Lead marketing analytics and end-to-end measurement across growth marketing, including dashboards, pipeline attribution, ROI, CAC, LTV, forecasting, experimentation, and budget analysis. Partner with Marketing, Finance, RevOps, and Business Intelligence teams to connect spend to revenue, improve data quality, evolve attribution models, and automate reporting with AI and predictive modeling.

Own the market strategy and growth of Luma’s lab automation and orchestration solutions. Engage pharma, biotech, CDMO, and research customers; define segments, personas, positioning, competitive strategy, pricing inputs, and AI use cases. Enable global sales and marketing teams with messaging and sales tools, align Siemens organizations, support strategic pursuits, and build partnerships with automation vendors and thought leaders. Drive software adoption, pipeline growth, and customer movement toward connected and autonomous laboratories.

Own product and feature launches, go-to-market communications, messaging, positioning, competitive battlecards, customer insights, content, and sales enablement for enterprise finance automation products. Coordinate with Product, Sales, Customer Success, and Demand Generation while translating complex AI capabilities into compelling messaging for finance buyers, including AP leaders and CFOs.

Develop and deploy machine learning and generative AI solutions for payments and banking operations. Build LLM-powered workflows, evaluation frameworks, ML services, and production deployment pipelines. Apply MLOps practices including monitoring, testing, versioning, governance, and rollback. Collaborate with product, risk, operations, and technology teams while documenting models, communicating results, and ensuring secure, reliable, and compliant production systems.

Own the design of Grant Finder, an AI-powered platform for nonprofits, from discovery through launch and iteration. Conduct user research, testing, prototyping, and interaction and visual design. Partner with Product, Engineering, and AI teams to simplify complex funding workflows, create transparent AI experiences, and evolve the design system across Goodstack’s nonprofit operating system.

Sells HPE Private Cloud AI solutions to enterprise customers and partners, leading AI-focused customer conversations, developing consultative proposals, building sales pipelines, hunting new logos, and closing complex technology, software, hardware, and services opportunities. The role engages technical, executive, and IT decision-makers, collaborates with account teams and ecosystem partners, conducts market and competitor research, and develops account strategies to grow revenue and market share.

Owns the UK Defence territory, selling Snowflake’s AI Data Cloud to the Ministry of Defence, defence primes, system integrators, and allied national security organizations. Responsibilities include prospecting, consultative enterprise sales, navigating public-sector procurement, aligning data and AI solutions to mission priorities, managing complex sales cycles, forecasting pipeline, and building relationships with mission owners and procurement stakeholders. The role requires UK Defence sales experience and the ability to hold or obtain UK security clearance.

Lead complex AI strategy and transformation engagements from diagnostic and use-case prioritization through production, adoption, and value realization. Manage multidisciplinary teams, client relationships, engagement economics, vendors, and senior stakeholder communications. Develop business cases, roadmaps, proposals, and thought leadership while translating business needs into technology-enabled solutions. Coach junior colleagues and support business development. Apply strong analytical, commercial, governance, and responsible AI judgment across enterprise transformation programs.

Own the strategy and roadmap for AI-powered fraud investigation automation. Lead discovery, prioritization, production rollout, evaluation, governance, monitoring, and continuous improvement. Partner with Engineering, Data Science, Design, Operations, Risk, and Compliance to combine deterministic logic, machine learning, GenAI, human oversight, and operational processes into scalable, safe, compliant fraud solutions.

Manage customer incidents and support requests for complex software applications. Investigate, troubleshoot, document, and resolve application, system, and user-reported issues while escalating complex cases when needed. Provide regular customer updates, maintain accurate support records, build strong customer relationships, and contribute to knowledge sharing and process improvement. The role requires familiarity with AI concepts and professional use of AI tools.

Design and develop scalable full-stack software, data ecosystems, interactive drug discovery tools, and AI-enabled platforms for scientific research. Lead cloud-native architecture using microservices and event-driven patterns, integrate scientific data and computational workflows, establish engineering excellence across the SDLC, collaborate with research scientists, and mentor developers. The role requires deep backend, frontend, data engineering, cloud, and AI-assisted development expertise.

Leads commercial strategy and transformation for BNY’s commercial office. Responsibilities include developing the commercial model, improving sales operations and client experience, analyzing markets and competitors, coordinating strategic initiatives, communicating transformation efforts, fostering practical AI adoption, and managing regulatory and operational risks. The role partners extensively with senior leaders, product teams, and functional experts to drive growth and efficiency.

Lead Tether’s global technology expansion across AI, decentralized infrastructure, peer-to-peer systems, and digital finance. The VP will develop international go-to-market strategy, identify markets and partners, originate and close major enterprise or government partnerships, coordinate product and engineering deployments, and build scalable commercial playbooks. This executive will lead global teams, recruit senior talent, engage C-suite and government stakeholders, represent Tether externally, and drive repeatable technology deployments across regions.

Leads Prosus’s product communications function for AI products, owning positioning, messaging, launches, media and analyst relationships, owned channels, and cross-functional alignment. Builds the communications discipline through playbooks, processes, measurement, and standards. Translates complex technology into compelling narratives for technical and non-technical audiences while connecting communications to adoption, reputation, and business results.

Embed with strategic customers to design, build, and implement data-driven AI solutions that improve customer support automation and Fin adoption. Analyze workflows and business challenges, establish measurement best practices, prototype and scale AI tools, and collaborate with Sales, Success, Product, and Engineering. Feed deployment insights back into product strategy while translating complex technical analysis into measurable business outcomes.

Drive enterprise revenue for Provenir’s Agentic AI Platform, initially expanding within existing clients and then acquiring new-logo customers. Build expertise in fraud and financial crime, lead complex 6–12+ month sales cycles, develop value-based business cases, engage C-level stakeholders, coordinate cross-functional teams, negotiate multi-year agreements, and maintain accurate pipeline forecasting. The role targets regulated financial services organizations and high-value contracts of approximately $1M+ annually.