Top AI Jobs in London

Leads finance-focused discovery workshops, customer meetings, demonstrations, proposals, and executive presentations. Translates financial management processes into value-led IFS solution narratives covering accounting, reporting, budgeting, forecasting, cash management, and operational efficiency. Partners with Sales, Product, Presales, and Consulting teams to support opportunities, communicate AI-enabled capabilities, capture market feedback, and position IFS solutions across the UK and international markets.

Owns technical governance for AI tools and platforms across Howden. Leads architecture reviews, security documentation, vendor and tooling assessments, and technical oversight of internal and third-party AI delivery. Establishes standards for agent development, retrieval, prompt engineering, and evaluation while supporting divisional AI teams. Acts as a technical partner to the Head of AI, ensuring quality, security, intellectual property protection, and development of internal AI capability.

Leads strategic AI and machine learning initiatives from concept through production. Designs scalable solutions connecting data, models, platforms, and systems; develops reusable engineering patterns; improves solution quality and reliability; conducts analysis supporting strategic decisions; builds stakeholder partnerships; and provides organizational leadership, mentoring, and innovation across the enterprise.

Own end-to-end recruitment for specialist operations, policy, and commercial roles across international markets. Partner with hiring managers and People Business Partners, source diverse candidates, manage candidate communications, and deliver a strong candidate experience. Contribute to hiring projects, employer branding, and People & Culture initiatives while using AI tools to improve recruitment efficiency and practices.

Leads end-to-end Data, Analytics, and AI projects across business domains, from scoping and planning through delivery, adoption, and operational handover. Coordinates business, data, technology, security, compliance, and external partner teams while managing scope, budgets, timelines, risks, governance, requirements, and stakeholder communications. Ensures solutions meet business, data quality, privacy, security, and compliance expectations and contributes to improved project delivery standards.

Own significant product areas from customer problem discovery through delivery, measurement, and iteration. Build AI-powered prototypes and production products, use AI coding tools daily, and engage directly with customers and commercial stakeholders. Lead small squads, influence product direction, communicate across technical and business teams, and contribute to an AI-native product engineering culture. The role is fully remote in the UK and focuses on EV energy, virtual power plants, and grid services.

Organize and maintain sales playbooks, battlecards, objection-handling guides, and competitive content. Design onboarding and ramp programs, deliver ongoing sales coaching, identify training gaps, and coordinate content development with instructional designers. Manage enablement content and adoption within Docebo, using usage data to improve effectiveness. Partner cross-functionally with Sales, Marketing, and Product in a B2B SaaS environment.

Lead design and delivery of production AI agent systems end-to-end: architecture, context/retrieval strategies, tool integrations, evaluation pipelines, and full-stack implementation. Drive technical direction, mentor engineers, and use Claude Code as the primary development workflow to embed AI across the company.

Advise law firms on AI adoption across billing and revenue workflows. Configure Intapp Celeste AI agents, coworkers, and playbooks around billing guidelines and client terms; map work-to-cash processes; identify automation opportunities and risks; train billing and finance teams; drive adoption; and provide product strategy feedback. The role requires law firm billing or revenue operations experience, practical AI and prompt engineering fluency, strong stakeholder communication, and client-facing judgment.

Design and prototype AI-powered product experiences, including LLM interfaces, conversational flows, agentic interactions, and generative UI. Support research, synthesize insights, apply design systems, collaborate with engineers and clients, facilitate workshops, and communicate design decisions. The role also involves exploring AI-assisted workflows, no-code tools, and emerging approaches to prototyping and design.

Develop and support scalable, cloud-native FX cross-border payments and custody solutions using Java and modern technologies. Responsibilities include architecture, coding, testing, production support, lifecycle improvement, stakeholder collaboration, mentoring, and implementation of automation and data-driven solutions. The role requires ultra-low-latency development, messaging, databases, caching, AI coding tools, and strong systems knowledge.

Build and productionize forecasting and machine learning models using weather, climate, and satellite data to generate agricultural, environmental, and risk signals. Own end-to-end pipelines from data ingestion and modeling through evaluation, orchestration, and customer delivery. Improve experiment design, uncertainty analysis, reproducibility, and monitoring while collaborating with science, engineering, product, and market intelligence teams.

Design and evaluate AI systems for real-world energy applications. Responsibilities include building evaluation frameworks and datasets, experimenting with model selection, fine-tuning and reinforcement learning, developing reliable agent harnesses, analyzing failures, setting risk thresholds, and translating research into production systems. The role requires strong Python software engineering, rigorous experimentation, and judgment around cost, latency, reliability, and human oversight.

Build and deploy practical AI tools, prototypes, applications, APIs, agentic workflows, and shared platform capabilities. Partner with business and engineering teams to drive AI adoption, improve solution performance and cost, and establish responsible AI governance. The role also involves evaluating emerging AI technologies, creating reusable patterns, mentoring colleagues, and mitigating AI risks across a regulated, multi-product organization.

Build end-to-end data, analytics, machine learning, generative AI, and agent-based solutions. Develop predictive models, conduct experiments, analyze trends, create insights, and support governed, secure, scalable data platforms. Collaborate in agile teams while applying data management, privacy, risk controls, and compliance practices. The program includes mentorship and training for students pursuing quantitative or technical degrees.

Lead Trade Nation’s data and AI strategy, with emphasis on deploying AI into business workflows and enabling measurable adoption. Own the data warehouse’s business-facing gold layer, semantic models, data quality, analytics engineering standards, and self-service analytics. Lead and develop data analysts while partnering with engineering, compliance, and senior stakeholders. The role requires financial services experience, strong SQL and data modelling skills, cloud data platform expertise, and the ability to deliver AI initiatives from concept through production.

Design and optimize model-serving architectures and inference pipelines for high-throughput, low-latency AI performance on mobile, edge, and GPU-cluster environments. Develop custom GPU kernels and Metal shaders, benchmark production systems, diagnose computational and memory bottlenecks, and implement techniques including parallelism, quantization, pruning, FlashAttention, KV caching, and speculative decoding. Collaborate cross-functionally to integrate scalable inference solutions and continuously improve performance.

Own the vision and strategy for an AI Innovation product area within Salsify’s PXM platform. Lead customer discovery, AI-enabled research, experiments, pilots, prioritization, and product delivery with engineering and design partners. Build AI products using LLMs and agents, establish success metrics, communicate with senior leaders, and coordinate cross-functional adoption across sales, marketing, customer success, support, and R&D.

Drive net-new enterprise sales among AI-native startups in London. Build executive relationships with founders, venture capitalists, developers, and technical leaders; develop data-driven go-to-market strategies; manage complex, multi-stakeholder sales cycles; establish strategic partnerships; exceed revenue targets; and evangelize MongoDB products and partner technologies.

Design and deliver data architectures, cloud platforms, pipelines, integration frameworks, and governance practices for regulated-industry clients. Advise on data strategies, operating models, lakehouses, warehouses, data mesh, and AI-ready ecosystems. Lead transformation engagements, support pre-sales and thought leadership, mentor consultants and engineers, and maintain expertise in emerging data, cloud, analytics, and AI technologies.

Manages global analyst relationships, briefings, evaluations, market research, and analyst-facing content. Develops positioning and messaging with Product Marketing and Product Management, tracks market trends and competitive insights, and enables Sales and Marketing teams to use analyst findings effectively. The role requires strong financial services experience, knowledge of fraud or AML, project management, communication, and cross-functional collaboration skills.

Leads the strategy and architecture for scalable search and AI retrieval systems. Responsibilities include selecting search technologies, designing keyword, vector, hybrid, and graph retrieval, developing knowledge graphs, building LLM-powered enrichment and recommendation pipelines, and architecting GCP data infrastructure. The role requires strong Python skills, production search experience, cloud-native expertise, and technical leadership.

Owns the roadmap for AI governance and compliance workflows, enabling legal, risk, compliance, and audit teams to create policies, review guardrails, document approvals, and produce audit-ready evidence. The role translates regulations and internal policies into product requirements, leads customer engagements with senior stakeholders, tracks AI regulatory developments, and collaborates with engineering and research. It requires enterprise workflow product management experience, regulated AI governance knowledge, strong communication skills, and customer-site travel.

Lead consulting engagements for defence, government, national security, and regulated-sector clients. Responsibilities include discovery, stakeholder workshops, digital and data strategy, target operating models, architecture, transformation roadmaps, AI and analytics opportunities, data governance, client deliverables, and proposal support. The role requires translating complex business and technical challenges into practical recommendations and measurable outcomes while influencing senior stakeholders and collaborating with multidisciplinary teams.

Serve as a pre-sales technical architect for Anthropic’s global and regional system integrator and cloud partners. Develop industry-specific generative AI solutions, reference architectures, and deployment best practices; support strategic customer deals; troubleshoot complex technical issues; enable partner engineering teams; lead technical workshops, hackathons, and events; and relay partner feedback to inform product and go-to-market strategies.