Top AI Jobs in London

Lead a zero-to-one AI learning product from market discovery through product-market fit, adoption, and maturity. Engage clients, demonstrate AI capabilities, shape product strategy, enable revenue teams, and represent the product externally. Apply learning theory and customer insights to guide feature priorities, partner with design on UX, and maintain practical expertise in LLMs, agents, multimodal AI, and responsible product decisions.

Participate in an accelerated consultant development program focused on implementing cloud and AI solutions for life sciences customers. Configure and tailor software, lead discovery workshops, translate business requirements into technical specifications, manage implementation scope and milestones, and guide customers using best practices. The role includes intensive onboarding, direct customer engagement, professional development, and progression from Associate Consultant to Consultant in under two years.

The Customer Business Analyst supports client delivery by leading discovery workshops, translating business needs into requirements and user stories, designing AI-driven workflows, and analyzing product performance. The role owns test strategies, acceptance criteria, UAT, AI output validation, and continuous improvement. It requires business analysis experience, preferably in insurance, strong stakeholder management, client-facing workshop facilitation, and practical experience with AI tools, prompt engineering, and LLM limitations.

Leads complex, large-scale AI infrastructure and inference engagements with governments, sovereign enterprises, and conglomerates. Responsibilities include executive relationship management, business-case development, account planning, value modeling, pricing, forecasting, commercial negotiation, deployment, and expansion. The role translates AI, data, infrastructure, security, and governance capabilities into strategic business outcomes while navigating federated organizations and complex procurement processes.

Leads North American corporate and indirect tax compliance, tax accounting, governance, forecasting, audits, and risk management. Advises Finance, Legal, Commercial, and operational stakeholders on tax implications, cross-border matters, transactions, and restructurings. Manages external advisors, mentors an Indirect Tax Analyst, and supports ERP transformation, legal entity simplification, tax technology modernization, automation, analytics, and responsible AI initiatives.

Own and scale Plum’s Investments and Pensions product pillar globally. Define product vision, strategy, roadmap, prioritization, and user experience across trading, investments, pensions, and wealth management. Lead and mentor product teams while partnering with Design, Engineering, Compliance, and Legal. Use AI and automation to improve investment decisions and customer interactions, while driving assets under management, activation, retention, pension consolidation, and revenue growth.

Lead customer onboarding and account management, helping clients adopt the platform and achieve outcomes. Provide consultative support by phone, video, and email; educate customers on product features; troubleshoot issues; track usage and feature adoption; gather feedback for Product and founders; and develop success metrics, playbooks, and data-analysis systems. The role requires strong communication, ownership, attention to detail, Excel proficiency, and comfort working autonomously in an early-stage company.

Join Welo Data’s Hungarian contributor network for flexible, remote AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create and test prompts for large language models; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Conduct industry-focused AI research on autonomous agents and world models. Develop models involving large language models, active inference, and optimal policies, including architecture experimentation, fine-tuning, deep-learning agent development, and action optimization. Candidates will work on real-world enterprise problems while pursuing cutting-edge research during a fixed-term three- or six-month fellowship.

Build foundational systems for AI models across data modalities, develop agentic systems and specialized models, and implement reinforcement learning and active inference solutions. The role involves hands-on architecture and product development, requiring Python backend expertise, cloud deployment knowledge, DevOps practices, and the ability to contribute across the technical stack in an early-stage startup.

Build and scale a distributed platform supporting engineering simulations, agentic applications, and physical AI workflows. Responsibilities include designing distributed architecture, developing production Python services, optimizing distributed compute, implementing workflow orchestration, and contributing to CI/CD, testing, deployment, observability, reliability, and incident response. The role also involves mentoring engineers, making technical decisions, collaborating cross-functionally, interviewing candidates, and supporting end-to-end platform operations.

Leads enterprise Microsoft 365 transformation initiatives focused on SharePoint Online, Power Platform, Copilot, AI agents, automation, security, compliance, and governance. Architects and implements collaboration solutions, migrates legacy platforms, configures Purview and related controls, and develops AI governance strategies. Provides technical leadership, client engagement, workshops, training, and ongoing support while coordinating project risks and dependencies. Requires availability during Eastern Time business hours and deep Microsoft 365, security, programming, database, and cross-tenant migration expertise.

Lead the architectural evolution of an AI platform from monolithic to distributed systems. Design agent-ready services, write production Python, build distributed compute and workflow orchestration, and own CI/CD, testing, deployment, observability, reliability, and scaling. Mentor engineers, establish technical standards, guide cross-team decisions, collaborate with stakeholders, and support hiring. The role requires deep distributed systems, Kubernetes, AWS, workflow orchestration, data processing, security, and production reliability expertise.

Own approximately 50 strategic EMEA enterprise accounts, develop complex account plans, build executive relationships, create outbound pipeline, and close multi-year six- to seven-figure B2B SaaS contracts. The role involves navigating global organizations, managing multi-stakeholder sales cycles, coordinating executives and product teams, driving urgency, controlling procurement processes, and maintaining high-quality forecasting and pipeline standards.

Generates enterprise sales pipeline through prospecting, lead qualification, market assessment, and high-value deal sourcing. Serves as an initial contact for executive stakeholders, identifies strategic opportunities for AI solutions, builds relationships, and collaborates with sales leadership to refine scalable go-to-market strategies, outreach methods, tools, and processes. The role requires strong communication, commercial judgment, market analysis, and decisive execution in a fast-paced B2B SaaS environment.

Leads the global Oil Analytics function covering crude oil and refined products. Develops market outlooks, macroeconomic strategy, forecasts, scenario analysis, and commercial insights for Trading, Origination, and Business Development. Manages up to six analysts, aligns teams across London, Lavera, and Beijing, and advances quantitative modeling, data analytics, forecasting, and AI adoption. The role influences trading decisions, business growth, optimization, and revenue generation across the global energy value chain.

Lead end-to-end data science and machine learning solutions for dynamic content targeting, from business conception through production deployment and impact evaluation. Partner with stakeholders, improve model quality and lifecycle processes, use model outputs to guide user experiences, and explore emerging AI techniques. The role requires advanced Python, SQL, dbt, statistical modeling, production ML deployment, and clear communication with technical and non-technical audiences.

Design trustworthy, accessible UX for a UK government generative AI platform. Conduct user research, create end-to-end AI workflow designs, prototype and test interfaces, translate responsible AI guardrails into usable patterns, and maintain alignment with the GOV.UK Design System. Collaborate with product, development, and AI engineering teams while documenting research, rationale, and design decisions.

Lead user research for a generative AI platform used by a UK government department. Plan and conduct qualitative and quantitative research across product phases, investigate trust and comprehension of AI outputs, validate human-in-the-loop workflows, synthesize findings, support GOV.UK service assessments, and collaborate with product, design, and engineering teams in secure, regulated environments.

Senior Business Analyst responsible for eliciting and translating requirements for a government Generative AI platform. The role covers process mapping, gap analysis, user stories, acceptance criteria, AI guardrails, human-in-the-loop workflows, evaluation criteria, stakeholder facilitation, governance compliance, and documentation. The analyst will work across legacy systems, multi-cloud integrations, engineering, product, policy, and government stakeholders in a secure, regulated environment.

Leads end-to-end architecture for enterprise AI platforms and data transformation programs. Responsibilities include solution design, delivery governance, technical risk management, team leadership, client advisory, architecture workshops, business development, bid support, and practice growth. Designs cloud, data, AI, orchestration, agentic, evaluation, guardrail, observability, and responsible-AI solutions for production-scale deployments.

Lead end-to-end AI and technology consulting engagements, from opportunity shaping and client advisory through delivery governance and team leadership. Design and deliver production-grade AI/ML, LLM, software, and cloud solutions, including agentic systems, MLOps, monitoring, cloud architecture, APIs, front-end applications, testing, security, and CI/CD. Apply deep technical expertise while communicating effectively with technical and non-technical stakeholders and supporting practice growth.

Support government and public-sector clients in adopting practical AI solutions. Identify AI opportunities, assess feasibility and risk, facilitate demonstrations and workshops, develop transformation roadmaps and governance frameworks, create client deliverables, research emerging AI developments, and contribute to proposals, methodologies, and internal capability building.

Lead the architecture and evolution of a Snowflake-based operational data platform. Design secure, governed, scalable data warehouse solutions, real-time ingestion, API integrations, AI-enabled capabilities, and natural-language querying interfaces. Define data flows, schemas, roadmaps, architectural standards, and governance while collaborating with engineering, data, business, and executive stakeholders. Troubleshoot complex platform issues, guide technical direction, and promote modern data engineering practices across enterprise systems.

Leads architecture and evolution of Snowflake-based operational data platforms, including real-time ingestion, AI-enabled capabilities, API integrations, data modeling, governance, and secure enterprise data flows. Partners with engineering, data, and business stakeholders to define roadmaps, standards, and technical direction while troubleshooting complex systems and communicating architecture decisions to technical and executive audiences.