Top AI Jobs in London

Build and scale AI-enabled workflows, reusable prompts, automations, agentic solutions, knowledge assets and governance frameworks. Deliver AI clinics, training and coaching to improve colleague adoption and confidence. Translate business needs into practical, safe and compliant AI solutions using low-code/no-code tools, while evaluating output quality, monitoring impact and reducing shadow AI across the organisation.

Leads a technical AI safety project sprint, coordinating participants, project execution, and progress toward AI safety outcomes.

Build hx’s first Revenue Enablement function by creating operating processes, roadmaps, onboarding, training, content, customer insight, and seller-performance programs. The role partners with Revenue leadership, Marketing, Product Marketing, ABM, RevOps, and frontline sellers to improve qualification, discovery, deal progression, Salesforce adoption, forecasting, ramp time, and commercial discipline. This hands-on builder role also uses AI tools to accelerate enablement content and feedback loops.

Build BLP’s core software across infrastructure, backend, machine learning, and product extension platforms. Responsibilities include operating secure and observable cloud infrastructure, developing performant distributed systems, applying AI to business problems, and enabling customer process automation. The role emphasizes formal reasoning, correctness by construction, maintainable systems, type systems, and functional programming. Work is available onsite in Zurich or remotely within Europe.

Build and operate production AI infrastructure powering intelligent agents at scale. Develop high-performance Rust services for model inference, orchestration, and execution; design scalable distributed systems; establish MLOps, observability, guardrails, and failure recovery; and optimize latency, throughput, reliability, and cost. Partner with agent systems and infrastructure teams to turn prototypes into hardened services serving millions of users.

Build and deploy reliable, measurable, and safe AI agents for real business workflows. Work within Marketing Engineering and growth pods to identify problems, develop end-to-end solutions, evaluate LLM performance, and measure business impact. The role involves productionizing agent systems beyond demos, using Python, SQL, LLM APIs, and orchestration tools, with potential integration into go-to-market data and marketing systems.

Lead the strategy, vision, and multi-quarter roadmap for Elastic’s vector database, embedding and reranking capabilities, hybrid retrieval, and AI search use cases. Conduct market and competitive research, define product metrics, prioritize features, and partner with engineering, cloud, and applied research teams. Guide technical trade-offs involving recall, latency, index size, ingestion throughput, model lifecycle, retrieval quality, and total cost of ownership across serverless and self-managed deployments.

Conduct research, market sizing, forecasting, competitive analysis, and thought leadership on enterprise AI services. Develop actionable insights for technology providers and senior executives through published research, presentations, conferences, and client engagements. Assess market trends, demand drivers, customer behavior, and growth opportunities while advising clients, supporting sales, reviewing content, mentoring analysts, and improving research processes.

Build and deploy production-grade AI solutions, including LLM agents, multi-agent workflows, RAG systems, classical ML, and speech models. Develop reliable, secure, observable, and scalable AI platforms using strong software engineering and MLOps practices. Own solutions from client scoping through monitoring and continuous improvement, collaborate with technical and business stakeholders, mentor engineers, and drive innovation in enterprise AI.

Own new-business sales across pharmaceutical, biotech, CRO, VC/PE, and life sciences accounts, with emphasis on North America. Build target-account relationships, generate pipeline, lead consultative discovery, develop proposals and pilots, negotiate contracts, and close complex multi-stakeholder opportunities. Collaborate with technical sales, product, delivery, legal, finance, marketing, and partnerships teams while maintaining accurate CRM forecasts and feeding market insight back into commercial strategy.

Lead hands-on development of production-grade AI systems, including RAG pipelines, semantic search, embedding infrastructure, LLM orchestration, and integrations with legacy and multi-cloud environments. Establish engineering standards, mentor developers, implement responsible AI guardrails, and ensure secure, observable, reliable deployments. Support knowledge transfer to government engineers, promote sustainable AI practices, and work with multidisciplinary public-sector teams. The role is hybrid in Newcastle and requires weekly travel there, UK-only system and data access, and BPSS clearance.

Drive enterprise software revenue within the legal vertical by managing named accounts, building executive relationships, identifying upsell and renewal opportunities, and guiding law firms and legal departments on Intapp solutions and AI adoption. Maintain territory pipelines and CRM accuracy, meet sales and retention targets, mitigate churn, and represent Intapp at legal technology events and industry initiatives.

Lead Clio’s product portfolio and customer experience for France, driving localization, regulatory readiness, multilingual support, and market expansion. Own the roadmap, coordinate cross-functional teams, influence central platform priorities, and deliver SaaS products for French legal professionals. Apply knowledge of French civil law, legal-market regulations, AI-enabled product practices, system design, and internationalization to launch and scale compliant solutions.

Provides commercial legal counsel across supplier, SaaS, services, OEM, and technology agreements. Advises on intellectual property, AI, data usage, privacy, employment, international expansion, and vehicle fleet operations. Develops scalable legal processes, templates, playbooks, and governance while explaining legal risks to business stakeholders and supporting strategic transactions and product deployments.

Lead enterprise-scale Dynamics 365 CE and Power Platform solution architecture from strategy through delivery. Design integrations, data models, security, environments, DevOps and ALM approaches while ensuring scalability, resilience and performance. Facilitate technical discovery and architecture reviews, advise senior client stakeholders, establish governance and reusable patterns, guide technology strategy, and mentor architects and senior consultants across complex Microsoft consulting programmes.

Review, draft, and negotiate complex client-facing commercial, technology, and AI-related contracts. Provide practical legal advice, ensure regulatory and policy compliance, mitigate risks, support governance and General Counsel Office projects, and improve contracting processes through legal technology and contract-management tools. The role also involves people management, cross-firm collaboration, stakeholder influence, and contributing to commercial strategy.

Prepare daily P&L and market risk reports for oil, refined products, and biofuels trading; monitor limits, identify significant risks, and support senior management. Develop forward curve methodologies, assess new products, review Endur changes, and support month-end activities. Collaborate with traders, front office, back office, and risk committees while mentoring junior team members and contributing to automation and AI-enabled trading tools.

Defines long-term architecture and engineering standards across enterprise systems, including identity, endpoints, compute, virtualization, operating systems, storage, databases, and SaaS foundations. Leads modernization, cloud migration, automation, platform rationalization, and legacy system retirement. Acts as senior technical authority, mentors engineers, drives architecture decisions, and owns integrations such as SSO, provisioning, APIs, and data flows. The role is a hands-on individual contributor based in London with frequent travel to Amsterdam.

Lead the operating model for Product, Engineering, and Design, establishing leadership rituals, product reviews, calibration sessions, release gates, and continuous improvement practices. Embed AI-driven tools and automated workflows into the product development lifecycle, coordinate regulatory and compliance checks, and hold senior leaders accountable for improving how teams build and ship products.

As an Enterprise Architect, you will lead tech advisory growth, collaborate on solutions, manage client relationships, and mentor junior consultants within the organization, driving technology transformation for clients.

Owns Pencil’s financial controls, month-end close, cash flow forecasting, treasury, payment approvals, revenue recognition oversight, payroll review, and audit readiness. The role provides senior financial judgment, manages banking and vendor escalations, strengthens finance processes, and applies AI to automate workflows. It requires a qualified UK accountant with experience in scaling businesses, preferably SaaS or technology companies.

Open application for exceptional candidates interested in building reliable AI systems. Isidor develops tools to verify model outputs, benchmark performance, and automate evaluation at scale. Applicants should describe what they have built and what they would like to build with the company. The role offers relocation support to London, a housing bonus near the office, competitive compensation, and equity.

Leads the London CPG strategy function, developing packaging, brand identity, brand world, portfolio, and innovation strategies. Translates consumer, cultural, category, and business insights into creative direction; builds senior client relationships; drives pitches and commercial growth; manages and develops the strategy team; and champions data, technology, and AI-enabled strategic thinking. Partners with creative and client services leaders to deliver distinctive, effective brand experiences across physical and digital touchpoints.

Leads regional business intelligence and analytics for UKI and ANZ, delivering reporting, dashboards, forecasts, market insights, KPIs, and actionable recommendations. Partners with global and cross-functional stakeholders to improve commercial performance, support product launches, manage data providers, optimize analytics tools, and forecast sales and volume for budgeting.

Leads AI and technology strategy for a management consulting business, including AI engineering team leadership, prioritization, investment, governance, delivery, adoption, knowledge management, vendor management, and partnership with central IT. Oversees AI solutions from experimentation through production, establishes responsible AI controls, represents consulting needs to enterprise technology teams, and drives training and sustained adoption of approved tools.