Top AI Jobs in London

Leads a multidisciplinary AI engineering organization building production systems for private-markets research and data workflows. Owns AI strategy, architecture, applied research, model adaptation, agentic products, evaluation, governance, reliability, and business outcomes. Partners with users, researchers, product teams, and risk stakeholders to turn ambiguous problems into scalable, secure, measurable products. Recruits and develops engineering talent while establishing standards for responsible AI, human oversight, provenance, privacy, security, and operational excellence.

Leads AI and Generative AI consulting engagements for pharmaceutical, biotech, and healthcare clients. Owns client workstreams, translates business challenges into AI strategies and transformation roadmaps, develops operating models and governance programs, and synthesizes research into executive recommendations. Partners with technical teams to align solutions with commercial objectives, manages engagement delivery, coaches junior consultants, and supports business development and thought leadership.

Lead Altana’s Policy & National Security public-sector business globally. Own revenue growth, sales pipeline, forecasting, agency relationships, partner strategy, and complex government pursuits. Shape opportunities with senior stakeholders, guide contracting strategies, coordinate cross-functional teams, and translate policy, budget, and agency signals into product and company strategy. The role requires deep public-sector sales leadership, government procurement expertise, strong networks, and eligibility to obtain and hold a U.S. security clearance.

Leads cybersecurity architecture for cloud-based applications and enterprise systems. Defines target architecture, identifies and mitigates risks, automates recurring remediation, evaluates emerging technologies and vendors, and drives AI-assisted security validation across SDLC toolchains. Collaborates with technical teams and senior business stakeholders while ensuring security, resiliency, auditability, and data-sensitivity requirements are met.

Own the global non-Google SEM portfolio across Bing, Yahoo Japan, and Naver. Develop campaign structures, testing frameworks, optimization playbooks, dashboards, automation, and AI-powered workflows. Partner with Product, Engineering, Data Science, and Operations to define technical roadmaps and solutions. Serve as a search marketing subject matter expert, influence external partner roadmaps, present performance recommendations to leadership, mentor colleagues, and build organizational capability.

Manage strategic cybersecurity and data protection vendor partnerships to drive revenue, profitability, and market awareness. Develop partner-led go-to-market strategies, business plans, and commercial programs; identify growth opportunities; enable sales and presales teams; maintain executive-level relationships; manage accreditations; and track revenue, profitability, and strategic KPIs across partner portfolios.

Manage enterprise customer relationships, serving as a trusted advisor and developing customized success plans. Drive retention, expansion, upgrades, and revenue growth across email, SMS, and digital channels. Review customer performance, resolve issues, communicate product updates, provide software guidance, and share feedback with Product and Engineering. The role requires consultative marketing technology expertise, commercial confidence, creative problem-solving, and collaboration in a hybrid London environment.

Design, develop, and maintain secure, scalable software solutions as a seasoned agile team member. Produce high-quality production code, architecture/design artifacts, data visualizations, and troubleshooting. Use CI/CD, resilient application patterns, enterprise AI-assisted development tools, and validate AI outputs. Contribute to engineering communities and improve code hygiene and system architecture.

Lead an applied AI team building and deploying agentic automation for banking operations. Own shared AI capabilities, orchestration, evaluation, and human-agent workflows while directing end-to-end production delivery under governance. Mentor AI engineers, establish technical direction, align cross-functional teams, manage senior stakeholders, and measure agent autonomy and human involvement. The role requires hands-on AI engineering, production agentic systems experience, strong software engineering foundations, and leadership in complex regulated environments.

Leads a data science and AI/ML team supporting risk management and compliance. Oversees predictive models, LLM solutions, autonomous agents, and enterprise AI applications from design through deployment and monitoring. Partners with Product, Business, and Engineering teams to embed AI into workflows, improve operational efficiency, and deliver business value. Ensures model risk management, responsible AI, explainability, fairness, governance, drift monitoring, and retraining. Mentors teams, communicates insights to senior leadership, and guides research, experimentation, and innovation.

Leads cybersecurity architecture strategy across a global financial services technology portfolio. Advises stakeholders on cyber risk, secure software delivery, cloud-native architecture, emerging technologies, and reusable security frameworks. Oversees safe adoption of enterprise-authorized AI in architecture workflows, ensuring human validation, data sensitivity controls, traceability, auditability, security, and resiliency. Leads a distributed team and influences technology leaders across functions.

Develop and deliver production AI/ML solutions across the full lifecycle using Agile methodologies. Translate business requirements into technical specifications, build secure production code and algorithms, create architecture artifacts, analyze large datasets, develop visualizations, troubleshoot systems, and identify improvements. The role requires expertise in machine learning, Python, Spark, distributed computing, AI frameworks, agentic workflows, and AWS services, while contributing to engineering communities and emerging technology initiatives.

Leads technology risk engagement and support engineering across infrastructure platforms. Establishes governance for AI-assisted incident, problem, and change workflows, ensuring security, auditability, and resilience. Advises on complex cross-domain technology issues, analyzes observability and monitoring data, leads root-cause investigations, and coordinates sustainable remediation across business, engineering, operations, cyber, and risk stakeholders. Translates client priorities into infrastructure outcomes while ensuring compliance with ITIL processes and regulatory requirements.

Owns strategic relationships and new business growth across major ServiceNow accounts in the energy and utilities sector. Leads executive engagement, account strategy, virtual teams, solution development, global resource deployment, customer roadmaps, renewals, licensing, and professional services. The role requires substantial client management and enterprise software sales experience, strong executive relationship skills, demonstrated quota attainment, and up to 50% travel.

Leads global Partner Success for strategic B2B partners using Mastercard Business and Market Insights products. Oversees onboarding, adoption, performance governance, renewals, expansion, revenue growth, executive relationships, and partner advocacy. Builds and leads customer-facing teams, develops joint growth plans, translates partner feedback into product recommendations, and collaborates across Product, Sales, Marketing, and Customer Success in a matrixed environment.

Lead strategic customer success and transformation programs for major Celonis clients. Build executive relationships, define value roadmaps, coordinate cross-functional teams, drive platform adoption and measurable business outcomes, resolve escalations, and establish customer centers of excellence. Organize advisory boards, advocate for customer needs, support thought leadership, and mentor internal teams. The role requires extensive experience in customer success, strategy consulting, large-scale transformation, change management, and executive engagement.

Owns EMEA sales enablement outcomes by improving rep productivity, onboarding, methodology adoption, deal velocity, win rates, and quota attainment. The role designs AI-enabled onboarding programs, coaches managers and sales representatives, analyzes productivity and competitive data, manages content rollouts, and localizes reusable enablement assets. It partners with regional enablement and sales operations teams to diagnose skill gaps and improve field execution.

Lead Wise’s Verification Platform engineering team, managing and mentoring engineers while owning the technical roadmap, architecture, reliability, security, scalability, and operational excellence of business KYC infrastructure. Partner with global product and engineering teams, contribute hands-on when needed, run engineering rituals and incidents, and guide development of configuration-driven rules, review tooling, vendor integrations, distributed decisioning, and event-driven re-evaluation systems.

Build, deploy, and maintain machine learning models for Snapchat products. Apply ML techniques to real-world problems, contributing across data analysis, training, evaluation, and production deployment. Collaborate with cross-functional teams to launch scalable ML-driven features using modern AI tools and engineering workflows while maintaining high standards for correctness, security, and production quality.

Lead Wise’s Risk Modelling ML Engineering pillar for financial crime detection. Own the model lifecycle from experimentation through deployment, monitoring, retraining, drift detection, and auditability. Architect a scalable model factory and experimentation platform supporting hundreds of models under strict latency requirements. Recruit, mentor, and lead senior ML engineers while setting technical standards, making architecture decisions, and partnering with platform teams.

Leads BlackRock’s global technology regulatory compliance program across AI, cloud, data, cybersecurity, digital resilience, and technology providers. Establishes governance, regulatory inventories, risk taxonomies, control frameworks, assurance methods, reporting, and compliance requirements for technology products and services. Partners with Technology, Product, Legal, Risk, Information Security, and Audit teams; engages regulators; oversees examinations and inquiries; and builds a specialist compliance team while providing independent challenge to senior stakeholders.

Defines and drives traveler compensation strategy across refunds, goodwill offers, credits, and points. Partners with Operations, brands, finance, legal, product, technology, and analytics to develop policies, scalable tools, and self-service solutions. Owns ROI analysis, loss management, scorecards, governance, roadmaps, risk management, and measurable business outcomes while improving traveler experience and operational efficiency.

Develop and deploy AI and machine learning solutions for workforce analytics. Conduct statistical analyses, experiments, and model evaluations; build scalable model factories and evaluation frameworks; apply generative AI and agentic development approaches; collaborate with business, product, and technology teams; communicate insights; and ensure compliance with risk, control, and governance requirements.

Design and lead Wise Assistant’s conversational AI systems for customer support. Responsibilities include architecting agents, defining prompts, context, knowledge, guardrails, and reasoning; partnering with engineers, product managers, and data scientists; setting automation strategy; improving quality; influencing cross-functional teams; and coaching designers on model and content design.

Lead complex, cross-functional global equities and prime projects from conception through execution. Responsibilities include developing integrated program plans, managing resources and milestones, overseeing governance, communicating with senior stakeholders, managing risks and controls, and delivering high-visibility strategic initiatives. The role requires financial services and financial markets knowledge, strong project governance, stakeholder management, communication, and organizational skills. Preferred experience includes equities, derivatives, operations, post-trade processes, artificial intelligence, and automation.