Top AI Jobs in London

Build scalable LLM-powered investment tools and AI workflows, including RAG, context management, data pipelines, model integrations, evaluation, and observability. Partner with investment and research teams to translate financial processes into secure enterprise solutions. Apply machine learning, statistical methods, Python, SQL, and financial-market knowledge in a regulated environment while optimizing AI quality, cost, latency, reliability, and business impact.

Lead post-sales enablement for OpenAI products, including ChatGPT Enterprise and Agents. Design and deliver onboarding, workshops, advanced training, executive briefings, and adoption programs for business and technical audiences. Drive activation, sustained usage, product expansion, and measurable business value across enterprise customers. Develop reusable training assets and playbooks, gather customer feedback, identify adoption patterns, and collaborate with Sales, Solution Architects, Delivery Leads, and product teams.

Manage strategic Central Government client relationships, identify and shape new business opportunities, lead bids, coordinate multidisciplinary teams, and develop value propositions. The role requires market intelligence, stakeholder engagement, and collaboration with technology, delivery, resourcing, and talent teams. Regular customer meetings across the UK and Bristol office attendance are expected. Candidates must be British passport holders who have lived permanently in the UK for five years and can obtain security clearance.

Lead equity fundraising from Series B onward, build investor pipelines, negotiate term sheets, structure hybrid and non-dilutive capital, and develop strategic partnerships with industrial, logistics, compute, AI, and supply-chain companies. Own executive relationships, connect investments to commercial agreements, support public-exit readiness, and report pipeline and deal progress to senior leadership and the board.

Leads hands-on data science and advanced analytics for drug development using clinical trial, real-world, omics, imaging, and biomarker data. Develops predictive models, machine learning and statistical analyses, reproducible pipelines, data quality frameworks, and scalable cloud-based workflows. Collaborates with statisticians, clinicians, translational scientists, engineers, and data teams to support clinical decisions, biomarker discovery, precision medicine, and innovative trial strategies. Provides technical mentorship, communicates findings, and coordinates multiple concurrent projects.

Creates, writes, designs, and manages tender bids, proposals, presentations, and related collateral. Develops persuasive content, case studies, executive summaries, and tailored responses; collaborates with sales, design, marketing, and stakeholders; ensures accuracy, consistency, and timely submission. The role also involves editing, proofreading, template creation, tender matrix maintenance, process improvement, and researching software to streamline bid production.

Leads regional sales and professional services operations, driving strategic planning, sales growth, account expansion, partner relationships, staffing, financial performance, forecasting, and operational excellence. Manages direct and indirect teams, develops OEM and customer relationships, identifies opportunities to position professional services, oversees escalations, and improves processes, profitability, and organizational effectiveness within complex technology environments.

Leads a team of Central Monitors and develops risk-based clinical trial monitoring strategies. Oversees trial-data surveillance, signal detection, risk reviews, and actionable insight generation. Partners with clinical, data, and risk teams to protect patient safety, data integrity, regulatory compliance, and trial quality. Guides protocol risk assessments, Key Risk Indicator and threshold design, issue resolution, audit readiness, and continuous improvement through analytics, technology, and Risk-Based Quality Management.

Evaluates and quality-controls legal AI skills, workflows, and use cases; researches prompting and applied AI methods; develops best-practice exemplars; tests new product capabilities; trains Legal Engineers; supports executive demonstrations; coordinates global skills libraries; and contributes approximately 30% of time to live client work.

Supports B2B sales by translating complex AML and fraud technology into tailored solutions, demonstrations, business cases, proposals, and proof-of-concept implementations. Partners with sales, engineering, compliance, data, marketing, and product teams to understand banking clients’ needs, assess risks, manage RFPs, coordinate POCs, build stakeholder relationships, and provide market input for product roadmaps.

Leads company-wide operations, resourcing, capacity planning, business planning, pricing support, and executive performance reporting. Owns utilisation, day rates, leverage, forecasting, management information, operational processes, ISO certifications, carbon reporting, and the CMap system. Manages the Operations and Resourcing team, partners with senior leaders across practices and geographies, supports workforce planning and commercial decisions, and drives process improvement through data, dashboards, AI, and automation.

Leads insight-led media and communications strategies, annual planning, major brief responses, client presentations, measurement, data and AI adoption, digital performance, commerce, new business, and strategic talent development. Builds senior client and agency relationships, translates insights into integrated activation, identifies growth opportunities, and coaches planning teams across WPP Media and partner agencies.

Join a selective quarterly cohort applying advanced technical skills to real-world client challenges in AI. Fellows work with experienced engineers and consultants on complex problems, receive mentorship, develop consulting and commercial capabilities, and build careers in artificial intelligence. Candidates should have recently completed a Master's or PhD in a STEM discipline and demonstrate strong coding, research, modelling, computational, or substantial technical project experience.

Own 3–12 month strategic transformation projects spanning retention, monetization, market expansion, partnerships, and M&A evaluation. Lead cross-functional teams, structure ambiguous problems, conduct data-driven analysis and market research, align senior stakeholders, manage workstreams, resolve risks, and deliver measurable business outcomes. Prepare executive and board-level narratives and recommendations while influencing leaders without formal authority.

Leads enterprise data strategy, analytics, business intelligence, data science, experimentation, and game economy optimization. Builds trusted data platforms, governance, metrics, and decision frameworks while driving predictive analytics and responsible AI. Oversees monetization, segmentation, pricing, and portfolio-wide game economy standards to improve player engagement, retention, lifetime value, and commercial performance. Manages distributed technical and commercial teams and partners with Product and Live Operations leadership.

Lead the AI Acceleration Centre, developing frameworks, governance, operating models and capabilities that help technology teams adopt AI-enabled software delivery. Identify and prioritize AI opportunities, implement solutions across business programs, coach delivery teams, and drive enterprise-wide adoption while maintaining security, privacy, architecture and engineering standards. Partner with senior technology, business, risk and governance stakeholders to deliver measurable value at scale.

Support business decision-making by querying and analyzing Rewards and Core data with SQL, building reliable dashboards and reports, and translating findings into clear business recommendations. The role also involves using AI tools to improve analysis, developing independent ownership of projects, and communicating effectively with non-analysts and cross-functional teams.

Leads claims-focused insights, analytics, business intelligence, and AI initiatives for an insurance organization. Partners with Claims, Reserving, Actuarial, Finance, Underwriting, and Transformation teams to translate business priorities into data products, dashboards, predictive insights, automation, and AI capabilities. Manages and develops an analytics team, ensures measurable business value, promotes responsible AI adoption, and maintains data, AI, and information governance standards.

Write high-impact copy for Kraken Pro across campaigns, landing pages, emails, in-app experiences, paid ads, and social media. Translate complex trading products into compelling messaging, maintain brand voice, support product launches, collaborate with Design, Product, Growth, Social, Legal, and Communications, and optimize copy through testing and performance analysis. The role requires strong writing range, crypto and trading culture fluency, speed, creativity, and attention to compliance.

Eight-week quantitative investing internship at BlackRock for specialized master's students. Interns contribute to investment or client projects, support quantitative research and portfolio management, analyze large datasets, translate statistical models into Python, and learn about capital markets, economic theory, portfolio trading, and investment strategies. Opportunities span quantitative research, portfolio management, product strategy, and investment technology across systematic equity and fixed-income teams.

Own CreateFuture’s strategic OpenAI partnership, building relationships across OpenAI’s partner, sales, GTM, and industry teams. Develop and execute the partnership strategy, generate co-selling and partner-influenced opportunities, connect OpenAI with clients and capabilities, mobilize internal teams, strengthen credentials, manage partner-program operations, and track pipeline and commercial outcomes.

Leads complex client software engagements through hands-on development, architecture, solution design, delivery management, and technical decision-making. Manages and mentors engineers, establishes engineering standards, troubleshoots complex issues, and oversees scope, estimation, planning, risks, dependencies, and outcomes. Builds trusted client relationships, translates business needs into technical plans, manages expectations, and identifies follow-on opportunities. The role also contributes to recruitment, pre-sales, consultancy practices, and technology thought leadership.

Leads product strategy execution for a domain, manages and develops Product Managers, drives portfolio prioritization and OKRs, and ensures measurable outcomes. Coaches teams on discovery, AI-first workflows, customer engagement, stakeholder alignment, and regulated GxP software development. Partners with strategy, engineering, sales, and customer-facing teams while maintaining product quality, regulatory readiness, and cohesive cross-domain execution.

Leads Gigaton’s Solutions team and owns deployment of AI systems across industrial customer plants. The role is responsible for scaling from 9 to 50 live plants, reducing deployment timelines, converting bespoke work into repeatable product capabilities, managing escalations, defining evaluation success, developing post-sales operations, and hiring and coaching a high-performing deployment organization. Requires customer leadership, hands-on deployment experience, and approximately 25% travel to global plants.

Leads full-cycle sales of Data and AI solutions, including data readiness assessments, modern data platforms, governance, analytics, and applied AI. Builds pipeline, develops customer relationships, manages proposals and negotiations, closes deals, and achieves revenue targets. Partners with Microsoft and other vendors, account teams, solution architects, and delivery teams to create transformation roadmaps and co-sell opportunities. Serves as a Data and AI subject matter expert while translating technical concepts into commercial value for strategic UK customers.