Top AI Jobs in London

Drive adoption of Atlassian's AI platform Rovo by discovering high-value use cases, co-building custom agents, configuring connectors, and deploying solutions to production. Run discovery workshops, design and validate integrations, enable customers for independent scale, collaborate with account and product teams, and surface product feedback. Travel up to 15% for customer meetings and events.

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.

Owns positioning, messaging, propositions, competitive strategy, customer insights, and go-to-market for Euromonitor’s syndicated research and data portfolio. The role translates product and technology strategy into compelling B2B narratives, equips commercial teams with enablement, informs roadmap and packaging decisions, and drives adoption, conversion, retention, and launch performance across global markets.

Coordinate AI and data governance requests across HR and Employee Experience. Manage intake, triage, routing, documentation, approvals, SLA tracking, stakeholder follow-up, remediation, and escalation for governance cases. Partner with HR, privacy, legal, compliance, risk, control, and technology teams to progress complex or high-risk use cases through approval. Improve ticket quality, workflows, templates, and guidance while maintaining accurate, auditable records.

Build and operate production AI and rule-based agents for lead generation workflows. Responsibilities include integrating agents with data warehouses, internal services, and APIs; implementing structured outputs, validation, permissions, guardrails, audit logging, autonomy controls, evaluation, tracing, failure handling, and performance monitoring. Collaborate with operators, data scientists, product managers, and users to deliver dependable, measurable, and commercially valuable agent systems.

Designs and optimizes Quality Management System workflows across Pharma Development. The role uses data analytics, automation, AI, and process engineering to improve quality operations, identify systemic findings, support inspection readiness, and embed GxP and Critical-to-Quality principles. Responsibilities include trend analysis, regulatory awareness, performance monitoring, compliance updates, and cross-functional QMS guidance. Candidates need at least five years of regulated GxP experience, strong process improvement and digital skills, and the ability to influence stakeholders.

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.

Senior corporate counsel responsible for negotiating complex AI procurement, SaaS, data licensing, and technology transactions. The role provides legal and strategic guidance on AI, data, intellectual property, regulatory, and contractual risks; leads negotiation quality control; develops playbooks; supports product and go-to-market strategies; and drives cross-functional contracting initiatives. Candidates must be admitted to a UK or U.S. state bar and have at least 10 years of relevant legal experience.

Conduct original computational biology research focused on AI safety and biological dual-use risks. Assess how AI models, agents, and automated laboratories alter biological capabilities, develop evaluations and safeguards, and translate scientific judgments into policy boundaries and mitigation requirements. Collaborate with threat modelers, safety researchers, experimental scientists, engineers, policy teams, and external specialists to investigate biological risks and preserve beneficial scientific research.

Lead Pigment’s global Talent Acquisition function across Technology, Go-to-Market, and Corporate hiring. Build a unified international recruiting organization, establish hiring strategies and forecasting models, improve recruiting processes and automation, manage internal and external recruiting resources, and drive performance through metrics. Partner with executives, Finance, Marketing, Legal, and People teams to support growth, strengthen employer branding, ensure fair hiring practices, and improve time-to-hire, offer acceptance, hiring quality, and candidate experience.

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.

Owns the marketing enablement AI opportunity portfolio across automation, content supply chain, campaign management, marketing experience, and performance measurement. Identifies and sizes opportunities, builds funding cases, prioritizes engagements, partners with engineering teams, defines evaluation and oversight models, and drives executive alignment. This senior individual contributor shapes AI products and bionic pod strategies in a regulated pharmaceutical environment, measuring success through business outcomes and scalable value.

Develop propensity, segmentation, statistical, and machine-learning models to support business decisions. Operationalize analytical data products, lead end-to-end analytics and AI projects, identify actionable insights, and communicate recommendations to senior stakeholders. The role focuses on solving real business challenges, measuring outcomes, and helping Dogs Trust improve its impact through data-driven decision-making.

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.

Own and grow strategic UK public sector accounts by acquiring enterprise customers, expanding existing relationships, managing the full sales cycle, developing account plans, presenting value-based solutions, coordinating technical and customer success resources, and achieving sales quotas. The role requires consultative solution selling, executive communication, knowledge of Git and software development tools, and travel when needed.

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.

Works directly with the CEO to improve company operations through internal AI enablement, cross-team initiatives, information architecture, and executive support. The role identifies bottlenecks, builds AI workflows and tools, coordinates ambiguous projects, organizes company knowledge, and supports board, leadership, and all-hands meetings. Candidates should be hands-on builders with systems thinking, high agency, low ego, and strong alignment with Doccla’s healthcare mission.

Own post-sale relationships for Fraud Discovery customers, driving onboarding, adoption, measurable value, renewals, and account growth. Develop success plans, monitor platform usage, conduct business reviews, resolve issues, and demonstrate ROI. Partner with strategic account leaders on cross-sell and upsell opportunities while sharing customer feedback and fraud-market insights with Product, Implementation, Support, and Data Science teams.

Develop data science and marketing effectiveness solutions for international clients. Apply econometrics, statistical machine learning, AI, Marketing Mix Modeling, and customer analytics end to end, from data gathering and analysis through modeling and presentations. Collaborate with clients, contribute to research and development, strengthen data engineering capabilities, and support company culture and sustainability initiatives.

Leads global platform operations across client support, incident and problem management, SLA and performance assurance, and product specialist functions. Owns service strategy, major incident response, root-cause remediation, contractual performance reporting, operational tooling vendors, and automation initiatives. The role manages global teams, strengthens client relationships, drives operational excellence, and applies AI to improve support, assurance, and resolution processes across enterprise energy-platform clients.

Analyze credit and portfolio data, contribute to risk model development, monitor model and credit performance, identify drivers of change, and support lending strategy, product launches, policy adaptations, and regulatory needs. Collaborate with analysts, data scientists, and senior stakeholders to generate actionable insights and improve tooling, monitoring, and workflows.

Lead multiple customer-facing implementations of ProcessUnity’s risk and compliance platform across EMEA. Responsibilities include developing project plans, managing timelines, budgets, risks, scope changes, and stakeholder communications; serving as the primary client contact; coordinating with implementation consultants and cross-functional teams; leading executive status meetings; translating business requirements into actionable plans; and contributing to implementation best practices and methodologies.