Top AI Jobs in London

Leads the strategy, development, launch, and scaling of B2B agentic commerce products within Payments. Partners with clients, engineers, data scientists, designers, and executives to define roadmaps, prioritize requirements, prototype concepts, establish success metrics, manage risks, and deliver secure, resilient, high-performing products. Requires strong product leadership, technical fluency, analytical skills, stakeholder influence, and experience delivering complex products at scale, preferably in payments, banking, financial infrastructure, or commerce platforms.

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.

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.

Lead ServiceNow’s sovereign cloud partner ecosystem across EMEA and support global expansion. Develop provider relationships, joint value propositions, partner-led business models, and go-to-market approaches for regulated markets. Connect commercial opportunities with technical and product readiness while aligning product, engineering, cloud operations, sales, legal, finance, and partnerships teams. Translate customer and regulatory needs into investment priorities, influence senior stakeholders, and turn emerging opportunities into repeatable scalable solutions.

Lead research, design, and evaluation of large-scale detection models for automated, fraudulent, and malicious activity. Define measurement frameworks for noisy or incomplete ground truth, mentor data science practitioners, advance AI/ML techniques, and shape long-term detection strategy. Partner with ML Engineering, Data Engineering, and Product teams to influence roadmaps and protect Cloudflare customers from evolving threats.

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 Wise’s global Servicing Scale organization, covering workforce management, demand and performance management, capacity planning, and internal tooling. Owns operational planning automation, technical standards, global budget and headcount, outsourcing strategy, and product roadmaps for workforce and capacity systems. Builds scalable, data-driven infrastructure using AI and predictive modeling while developing senior leaders, influencing executives, and ensuring servicing operations can support rapid customer growth without proportional cost increases.

Owns a UK commercial territory serving private-sector accounts with 700–2,000 employees. Responsibilities include acquiring new logos, expanding existing accounts, building account strategies, sourcing and progressing pipeline, managing the full sales cycle, forecasting, engaging senior stakeholders, partnering with internal teams and partners, and mentoring colleagues.

Lead development of secure, high-performance, low-latency cloud-based payments applications using Java and AI-assisted engineering practices. Responsibilities include designing and coding payment flows, reviewing and debugging code, establishing secure coding and automated testing standards, supporting production stability, coaching engineers on responsible AI adoption, evaluating architectures, and promoting modern software engineering practices across the organization.

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.

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.

Leads and develops a five-person outbound BDR team focused on SMB and mid-market merchant pipeline generation. Owns hiring, onboarding, coaching, performance management, outbound strategy, messaging, account targeting, and process improvement. Partners with account executives, Marketing, CRM, Sales Strategy, and global teams to improve team effectiveness. Uses data, AI capabilities, and modern sales technology to optimize performance and build a high-performance culture.

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 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.

Lead Wise’s AI Assistant and route-by-route customer activation strategy. Own conversational banking experiences, agentic AI development, global product frameworks, funnel optimization, experimentation, and customer insights. Partner with engineering, design, analytics, regional, compliance, payment operations, and vendor teams to improve first-transfer conversion and scale personalized cross-border payment experiences globally.

Deliver enterprise and operational risk transformation and advisory services for financial institutions. Assess and improve risk processes, controls, governance, market abuse frameworks, and trade surveillance. Support AI-enabled analysis, surveillance model tuning, workflow automation, validation, auditability, and responsible AI practices. Collaborate with business, technology, compliance, and risk stakeholders to identify control gaps and deliver data-driven improvements.

Leads strategic Markets Operations transformation programs across Fixed Income, Currencies, and Rates. Responsibilities include cross-functional project delivery, process redesign, governance, data analysis, target-state modeling, automation, regulatory compliance, cost optimization, and change management. The role partners with Sales and Trading, Operations, Technology, Data and Analytics, Legal and Compliance, Finance, and senior management across multiple jurisdictions.

Lead design, implementation, and analytics for FRTB and related market-risk capital requirements (IMA and SA). Own roadmap, capital estimation modules, controls, governance, regulatory submissions, and stakeholder engagement. Drive cross-functional delivery, scenario analyses across desks and products, and advance AI/LLM and data-driven automation in market risk analytics.

Nine-week summer internship supporting analytics, project management, and process improvement initiatives. Responsibilities include analyzing data, identifying trends and inefficiencies, developing actionable recommendations, coordinating projects across teams, managing risks, communicating with stakeholders, and helping implement measurable process improvements. Interns gain exposure to senior leaders, business operations, AI-enabled tools, and multiple corporate functions.

Guide clients in adopting and maximizing Fusion’s enterprise data, analytics, and AI platform. Provide technical expertise for complex use cases, collaborate with business, product, engineering, and client teams, develop solution patterns, lead enablement activities, track adoption and satisfaction metrics, advocate best practices, and provide feedback for platform enhancements.

Future Business Development Representative opportunities at Mirakl involve researching enterprise prospects, identifying decision-makers, crafting targeted outreach, and partnering with Enterprise Account Executives on prospecting strategies. Representatives share outbound best practices, use AI to improve efficiency and commercial insight, and develop foundations for advancement into sales or other departments. Candidates should have strong communication and presentation skills, a growth mindset, and willingness to work onsite four days weekly in Boston. This is a talent-pool posting, not an active opening.

Own onboarding, adoption, and long-term value realization for 15–20 mid-market corporate clients. Design and execute tailored change-management playbooks, manage parallel adoption programs, advise senior legal stakeholders, coordinate cross-functional teams, identify expansion opportunities, and translate customer feedback into product and enablement improvements. The role also develops reusable playbooks and drives measurable outcomes, retention, satisfaction, and ROI in an AI-native legal technology environment.

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.

Leads large, complex 4G/5G Core and Cloud delivery programs for Ericsson customers from scoping through contract fulfillment. Owns end-to-end delivery, solution definition, profitability, quality, timelines, risk, change management, and customer relationships. Supports sales and upsell opportunities, governs local and global teams, promotes automation and AI adoption, improves delivery processes, and coaches program members in a multi-vendor ICT environment.

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.