Top AI Jobs in London

Leads Airwallex’s global sanctions compliance strategy, second-line governance, screening oversight, regulatory engagement, and technology modernization. The role manages complex sanctions escalations, regulatory examinations, disclosures, geopolitical risk monitoring, and AI-enabled screening initiatives across global payment operations. It also reports programme risk to executives and the board while scaling a cross-regional sanctions team.

Lead Perk’s 40-plus-person data organization and define its company-wide data strategy, infrastructure roadmap, governance, privacy, and AI adoption. Build data into core product infrastructure, improve quality and scalability, shift the organization from reactive reporting to strategic insight, and develop senior leaders. Partner with Product, Engineering, Finance, Marketing, Revenue, Customer Care, and People leadership while owning the data budget, organizational design, and executive-level outcomes.

Develop and grow Capco’s strategic Google Cloud alliance by building partner relationships, identifying joint sales opportunities, creating industry-focused propositions, supporting co-selling and account planning, and accelerating pipeline and revenue growth across financial services. The role coordinates Capco and Google Cloud stakeholders, tracks alliance performance, and connects cloud transformation capabilities to client business outcomes.

Leads end-to-end compliance and integrity risk assessments across international business units. Responsibilities include planning assessments, interviewing stakeholders, transaction testing, data analysis, evaluating regulatory and third-party risks, reporting findings to executives, tracking remediation, identifying misconduct, and improving assessment methodologies. Requires strong judgment, investigative and analytical skills, executive communication, international compliance expertise, and at least 10 years of relevant experience.

Leads enterprise Moveworks implementations from planning through launch, ensuring on-time, on-budget delivery. Manages scope, timelines, budgets, resources, governance, risks, change management, reporting, and stakeholder alignment. Collaborates with customers, partners, Sales, Product, and Customer Success teams; facilitates AI workflow adoption, resolves complex issues, mentors delivery teams, and transitions customers to post-launch support.

Owns the product lifecycle for AI and autonomous-agent solutions, translating business needs into production-grade workflows. Responsibilities include defining requirements and roadmaps, managing delivery and backlogs, building integrations and infrastructure, evaluating model performance, monitoring drift, gathering user feedback, measuring impact, and ensuring governance, compliance, safety, and reliability in a regulated banking environment.

Own the strategy, roadmap, governance, evaluation, and production performance of a portfolio of agentic AI products. Lead cross-functional teams across engineering, data science, design, and controls; establish standards for agent behavior, safety, reliability, monitoring, and reuse; prioritize investments; manage stakeholder relationships; and drive adoption and measurable business outcomes across a regulated financial institution.

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.

Lead and develop a team of Principal and Senior Principal Customer Success Managers serving complex global enterprise customers. Drive customer retention, growth, health monitoring, executive relationships, success planning, escalations, and measurable business outcomes. Coordinate cross-functional teams across Sales, Product, Support, Services, and Engineering while contributing to organizational planning and talent development. The role focuses on cloud transformation, agile delivery, automation, IT services, and AI adoption.

Conduct outbound prospecting and qualify business leads for the UKI strategic segment. Convert meetings into sales pipeline through cold calls, personalized emails, research, objection handling, and value-driven messaging. Collaborate with sales, marketing, partner, and operations teams while using Salesforce, Gong, Outreach, LinkedIn Navigator, and AI to improve prospecting efficiency and analysis.

Conduct outbound prospecting and qualify leads in the DACH strategic market through cold calls, personalized emails, and research. Build pipeline, convert meetings, handle objections, communicate product value, and collaborate with sales, marketing, partner, and operations teams. Use Salesforce, Gong, Outreach, LinkedIn Navigator, and AI to improve prospecting effectiveness. The role requires fluent English and German, strong communication skills, accountability, adaptability, and 1–2 years of SDR or inside sales experience preferred.

Lead Atlassian’s EMEA Solutions Engineering team for strategic and enterprise accounts. Responsibilities include managing and developing presales talent, defining SE strategy and performance metrics, guiding complex technical sales pursuits, shaping AI-focused demonstrations and solution designs, partnering with Sales, Product, Marketing, and Enablement, and representing Atlassian with executives, partners, analysts, and customers. The role requires at least six years managing presales teams and experience with strategic-segment customers.

Lead the design, development, deployment, and continuous improvement of AI/ML solutions for enterprise customers. Build integrations using Python or JavaScript, APIs, microservices, and enterprise systems; analyze data; automate workflows; address AI risk, privacy, and compliance; and align technical solutions with business goals. Mentor engineers and communicate effectively with technical and non-technical stakeholders in complex, ambiguous environments.

Own the technical roadmap and delivery of large-scale backend systems for Wise’s global KYC and onboarding platform. Design scalable microservices, APIs, asynchronous integrations, and database architectures while improving reliability, security, compliance, and automation. Lead complex cross-team initiatives, solve ambiguous problems, mentor engineers, and deliver customer-focused verification solutions.

Provide accounting advisory and technology consulting to leading accounting firms using Legora’s AI platform. Build trusted client relationships, design solutions for accounting workflows, support pilots and adoption, deliver demonstrations and training, guide generative AI implementation, and relay customer insights to Product, Engineering, and Customer Success teams.

Advances Mastercard’s AI and data strategy through research, strategic analysis, responsible AI governance, stakeholder engagement, and adoption initiatives. Develops governance frameworks, evaluates emerging technologies and risks, supports AI and analytics integration, promotes data literacy, contributes to thought leadership, and mentors junior team members. Collaborates with product, engineering, legal, compliance, privacy, security, risk, and business stakeholders to promote responsible innovation.

Leads Takeda’s UK and Ireland Commercial and Marketing Operations strategy, overseeing data and insights, customer engagement, learning and development, business operations, facilities, governance, transformation, and business continuity. Partners with senior leadership and global stakeholders to improve commercial effectiveness, operational excellence, compliance, capability development, resource allocation, and patient and customer outcomes across a regulated pharmaceutical environment.

Lead the operating model for AI and data governance requests across HR and Employee Experience. Manage coordinator teams, intake, triage, routing, SLAs, backlog reduction, escalations, reporting, and approval readiness. Support high-risk use cases through documentation, reviews, remediation, approvals, and closure. Develop governance playbooks, procedures, checklists, templates, and training while partnering with HR, technology, data, risk, legal, compliance, privacy, and governance stakeholders.

Leads ServiceNow workflow solution architecture for HR, legal, workplace, finance, and supply chain applications. Supports presales, solution scoping, customer implementations, governance, integrations, change management, and executive stakeholder engagement. Designs scalable workflows, presents solutions, develops enablement materials, mentors delivery teams, and promotes best practices across ServiceNow and partner ecosystems. Requires up to 50% annual travel.

Manages ServiceNow’s reseller partner ecosystem by developing business plans, growth targets, capacity plans, governance processes, and joint go-to-market strategies. Coordinates partner readiness, enablement, certifications, investments, pipeline reviews, business reviews, reporting, and remediation plans. Collaborates with sales, marketing, operations, and executive stakeholders to generate new business, improve partner delivery capabilities, and drive successful customer implementations. Requires approximately 10% travel.

Leads a multi-year, enterprise AI transformation across HR and Technology. Owns strategy-to-execution delivery, integrated roadmaps, governance, executive reporting, dependency and risk management, adoption, change management, benefits realization, and responsible AI experimentation. Partners with engineering, architecture, product, HR, vendors, and control functions to drive alignment, remove blockers, improve delivery discipline, and embed AI-enabled practices into program execution.

Own global executive searches for engineering, product, data, and design leadership roles. Advise senior stakeholders on hiring, succession, organization design, leveling, and location strategy. Build leadership pipelines, assess and close executive candidates, improve recruitment processes, analyze market intelligence, and develop AI-driven talent solutions. Mentor recruiting colleagues and promote inclusive hiring practices.

Supports Marketing Leadership through calendar and team coordination, OKR cadence, onboarding, learning programs, offsites, events, budget tracking, purchase orders, invoice administration, tooling audits, and workflow automation. The role uses Asana and AI to improve cross-functional marketing operations, reduce administrative work, and support launches and process rollouts.

Supports international media operations products and services that distribute content to global TV, streaming, and distribution partners. Responsibilities include understanding user needs, improving processes, gathering requirements, designing features, testing, configuring systems, troubleshooting software, and supporting technology rollouts within an Agile framework. The intern will collaborate with technology and content teams while developing experience in product management, user-centered design, software design, and automation.

Leads software engineering development teams building AI-centric SaaS products. Responsibilities include technical oversight of the software development lifecycle, strategic planning, workforce planning, recruitment, budgeting, performance management, coaching, career development, innovation, process improvement, quality, and compliance. The manager also supports cloud and data engineering, testing, Agile delivery, risk mitigation, and cross-functional collaboration while managing team objectives and individual performance.