Top AI Jobs in London

Own and grow a UK enterprise territory, retaining strategic accounts and expanding Gartner relationships. Engage CIOs, CTOs, CDOs, and other senior executives on AI, cloud modernization, cybersecurity, cost optimization, data strategy, and digital transformation. Prospect for new opportunities, lead consultative executive conversations, align Gartner insights and services to client priorities, and achieve retention, renewal, and quota goals through complex B2B sales.

Lead global Account Executive enablement by designing and delivering training, coaching, certifications, and sales methodology programs. Improve opportunity progression, conversion rates, deal quality, forecast accuracy, and sales cycle efficiency. Partner with Sales Leadership, Product Marketing, GTM Strategy, Revenue Operations, and regional teams to align programs with business priorities. Drive adoption of AI-assisted selling workflows for research, discovery preparation, stakeholder mapping, deal strategy, and follow-up creation.

Designs and demonstrates tailored AI security solutions for prospective clients, leads proof-of-concept projects, provides technical support, conducts training, and collaborates with sales, product, engineering, and research teams. The role requires expertise in cybersecurity, AI workflows, cloud infrastructure, Python, MLOps, and solution architecture, along with strong communication and presentation skills. This is a fully remote UK-focused position with travel to client sites and industry events as needed.

Leads research and thought leadership on procurement technology, CLM, S2P, procurement orchestration, and AI-enabled procurement. Advises senior executives on digital transformation, technology investments, vendor selection, implementation, governance, and adoption. Evaluates procurement technology providers, publishes market research, develops methodologies, and presents findings through conferences, webinars, and executive discussions.

Lead development of AI agent products and AI-native applications for hardware engineering workflows. Prototype ideas rapidly, build products end to end, improve agent user experiences, establish interaction patterns, and lead technical direction across product engineering. Partner with design, product, and platform teams while working closely with engineers and users.

Build and rapidly prototype AI-native product features for hardware engineers. Develop full-stack interfaces, APIs, streaming agent workflows, citations, editable outputs, and trustworthy human-agent handoffs. Own product decisions from concept through customer delivery, observe real users, and iterate on usability. The role requires strong front-end development with TypeScript and React, experience with AI-powered interfaces, rapid prototyping, product ownership, and modern AI coding-agent workflows.

Design, build, deploy, and optimize scalable AI and machine learning systems using large datasets. Develop predictive models, recommendation systems, personalization engines, forecasting solutions, generative AI applications, and production ML pipelines. Collaborate with data, backend, and product teams to integrate models into applications, while monitoring performance, data quality, drift, reliability, and cost. Establish best practices for evaluation, experimentation, reproducibility, and deployment, and research emerging AI technologies.

Designs and owns global digital marketing strategies across acquisition and customer expansion. Responsibilities include campaign architecture, paid media, ABM, nurture, conversion optimization, regional localization, budget allocation, performance analysis, marketing technology improvements, data hygiene, and AI-enabled campaign operations. The role makes commercial trade-off decisions to maximize pipeline and expansion revenue, collaborates with sales and creative teams, and defines account-level measurement frameworks.

Conducts qualitative and quantitative research on technology partner ecosystems, alliances, marketplaces, channels, and go-to-market strategies across EMEA. Responsibilities include survey design, data analysis, executive interviews, market research, written thought leadership, consulting support, client presentations, webinars, and trend analysis involving AI and cloud ecosystems.

Owns full-cycle enterprise sales for Cloudera’s supported Mistral offering and Anywhere Cloud, from prospecting and proof of concept through negotiation, close, renewals, and expansion. Develops pipeline, manages complex multi-threaded deals, engages C-level stakeholders, coordinates technical, product, legal, and implementation teams, and positions AI solutions within customers’ data strategies and hybrid environments.

Supports technology, data, automation, and AI audits by assessing governance, controls, model risks, cybersecurity, data quality, and regulatory compliance. Designs analytics, automated testing, dashboards, and AI-enabled tools to improve continuous assurance and audit efficiency. Partners with technology and data teams, translates technical risks into business conclusions, advises auditors, and contributes to internal audit innovation and technology roadmaps.

Own production Python data pipelines, ETL/ELT workflows, and the ontology powering an AI platform. Integrate warehouses and business applications with graph databases and vector stores, while managing deployment tooling, cloud infrastructure, monitoring, and security. The role begins as hands-on individual contribution and develops toward technical leadership through mentoring and architecture ownership.

Owns the performance, optimisation, experimentation, compliance, and configuration of a live conversational AI agent in a high-volume regulated environment. The role manages the optimisation backlog, analyses customer journeys and root causes, defines thresholds and escalation rules, validates new capabilities, and holds the platform partner accountable for delivery and outcomes.

Leads end-to-end development and architecture of enterprise Generative AI and Agentic AI products. Partners with business and technology stakeholders, shapes product roadmaps, builds AI agents using Google ADK and MCP, writes production-quality Python or Java, and drives testing, CI/CD, security, compliance, mentoring, and technical strategy.

Drive market growth and enterprise sales for IFS Loops, an agentic AI platform serving industrial markets. Generate new opportunities, target strategic accounts, lead consultative discussions with senior executives, and position autonomous workflows and AI orchestration as transformational enterprise capabilities. Partner with regional account teams, product specialists, and solution engineers in a matrixed go-to-market model.

Senior client-facing consulting leader for Energy & Infrastructure who originates and leads AI- and data-enabled transformation engagements across UK/EMEA. Drives go-to-market, shapes solutions from discovery through delivery, leads multidisciplinary teams, owns P&L and pricing, and grows pipeline, revenue and margins while delivering measurable operational and commercial value for E&I clients.

Owns AI architecture governance, vendor and tooling assessments, security and architecture documentation, and technical oversight of internal and third-party AI delivery. Establishes standards for agents, retrieval, prompt engineering, and evaluation while supporting divisional teams. Partners with the Head of AI to assess risks, guide decisions, and build internal AI capability across a regulated global organization.

Lead enterprise architecture strategy and governance for a major aviation customer. Design AWS cloud solutions, guide AI and emerging technology adoption, establish architecture standards, plan system modernization and migrations, and promote secure, cyber-resilient architectures. The role requires extensive stakeholder engagement, technical leadership, and expertise in cloud architecture, microservices, data platforms, and modern technology stacks.

Designs scalable AWS cloud, data, and AI solutions for a major aviation operator. Partners with business and technical stakeholders to translate objectives into architectures, leads technical planning and implementation scoping, communicates architectural decisions, promotes emerging technologies, provides cybersecurity guidance, and ensures solution quality, compliance, performance, and alignment with business outcomes.

Own the cross-product design system and define patterns for agentic and generative AI experiences. Build working prototypes with real data, establish interaction principles for uncertainty and human oversight, shape product voice, maintain experience quality, and partner directly with engineers and product leads. Conduct customer research with repairers and suppliers while setting standards for complex B2B workflows, dense data, and AI-driven interfaces.

Lead Kraken Pro’s social media strategy across X, Telegram, and other platforms. Create platform-native content, react quickly to crypto and trading trends, manage the content calendar, engage the community, translate product updates into compelling narratives, track performance, and optimize through experimentation. Partner with Legal and Communications to ensure accurate, compliant messaging across regions.

Support investment consulting client teams serving institutional investors. Responsibilities include performance analysis, strategic asset allocation advice, market commentary, client communications, dashboard development, presentation creation, project management, workflow coordination, and technical quality assurance. The role requires strong investment knowledge, analytical ability, communication, organization, and client-service skills, with opportunities to support responsible investment, multi-asset, fixed income, alternatives, or client reporting teams.

Own the post-sales lifecycle for European insurance customers, driving adoption, measurable business value, retention, renewals, and account growth. Build relationships with stakeholders ranging from claims handlers to senior executives, lead onboarding and business reviews, monitor account health and AI performance, quantify outcomes, provide product feedback, and identify upsell and cross-sell opportunities. The role requires fluent Polish and English and regular travel, including to Poland.

Review and annotate short video and audio clips for AI training and evaluation. Assess AI-generated descriptions for accuracy, relevance, and appropriateness; flag potentially inappropriate or ambiguous content; provide concise feedback; and maintain consistent annotation quality while following confidentiality, data protection, and moderation guidelines in a remote environment.

Build and launch a stealth AI product from concept through production. Own product features end-to-end, make architecture decisions, define MVPs and success metrics, and ship software using AI throughout the SDLC. Improve engineering delivery metrics, testing, CI/CD, observability, and release practices while partnering with Product and Design. Mentor engineers and help establish a high-ownership culture.