Top AI Jobs in London

Produces original daily reporting on AI policy, regulation, governance and emerging technologies for a digital newsroom. Responsibilities include pitching and researching stories, covering breaking developments, interviewing sources, analyzing legislation and data, fact-checking, writing explainers and features, and collaborating on multimedia packaging. The role requires strong news judgment, media-law awareness, digital writing skills, and the ability to work accurately under tight deadlines.

Experiment with generative image and video models, build advanced ComfyUI workflows and automated pipelines, and create high-quality demos, examples, guides, and social content. Translate technical experimentation into engaging developer- and creator-facing material, rapidly evaluate new model releases, and collaborate with Growth, Product, and Engineering on launches and use cases.

Leads the enterprise data governance strategy, framework, roadmap, policies, standards, and data quality programs. Establishes metadata, lineage, master data, classification, access, and privacy practices while partnering with IT and Security to support secure AI initiatives. The role resolves cross-functional data issues, aligns governance with regulatory requirements, measures data quality, and develops the governance team in a regulated healthcare or technology environment.

Owns Arrow’s AI Business Process strategy for Dynamics 365 Business Central and Power Platform. Develops go-to-market motions, packaged services, sales frameworks, enablement programs, partner recruitment initiatives, and marketing campaigns. Acts as the connection point between Microsoft, country teams, partners, and customers while driving adoption and consistent execution across international markets.

Own end-to-end product marketing for Operator, Fin’s AI agent for customer operations. Develop category-defining narratives, positioning, ICP and messaging; lead launches and go-to-market initiatives; create sales enablement, competitive positioning, web content, demos and other PMM assets. Partner with product, marketing, sales and leadership, conduct customer research, translate technical capabilities into clear value, and maintain messaging systems supporting Fin’s AI-first approach.

The Product Marketing Director will own Qevlar’s positioning, messaging, go-to-market strategy, product launches, competitive intelligence, analyst relations, and sales enablement. The role requires translating AI-powered cybersecurity technology into credible narratives for technical and executive audiences, partnering with Product, Engineering, Sales, and Customer Success, and supporting demos, onboarding, retention, and customer advocacy. This hands-on leadership role will eventually build and manage a product marketing team.

Own Qevlar AI’s global demand generation strategy and pipeline number. Build an inbound-led, signal-based demand engine using SEO, CRO, AI discoverability, intent data, ABM, lifecycle marketing, and marketing automation. Manage website conversion, martech, agencies, events, and field marketing while partnering with Sales and Marketing. Report on pipeline, funnel conversion, CAC, and marketing-sourced revenue, using experimentation and AI automation to build scalable systems in an early-stage cybersecurity SaaS company.

Owns FICO’s strategic partner relationship across EMEA, driving joint revenue growth, pipeline development, sales campaigns, negotiations, and multi-million-dollar channel agreements. Builds C-suite relationships, develops multi-year engagement roadmaps, coordinates internal and partner teams, manages multiple sales engagements through close, and leads co-marketing and co-sales initiatives. Requires deep expertise in payments, banking, fintech, channel pricing, AI, decisioning, and partner ecosystem dynamics.

Owns FICO’s strategic partner relationship across EMEA, driving joint revenue growth, channel sales, multi-year engagements, and major contract negotiations. Builds C-suite relationships within the payments and fintech ecosystem, leads virtual sales and delivery teams, develops partner strategies and pipelines, and manages sales campaigns through close. The role also supports co-marketing, industry events, forecasting, and solution positioning across banking, payments, AI, machine learning, and decisioning markets. It requires regular onsite work in Basildon and London plus periodic US travel.

Generate qualified demos for Account Executives through outbound prospecting, including cold calls, email, LinkedIn, events, and creative outreach. Introduce contractors to an AI construction takeoff product, build pipeline, maintain high activity, and contribute to growth in a fast-paced environment. The role requires strong communication, organization, coachability, ownership, and a willingness to progress toward an Account Executive position.

Leads research and production development of generative AI and large language model systems for cybersecurity. Responsibilities include defining AI research strategy, developing novel reasoning and summarization approaches, selecting model architectures and deployment strategies, building large-scale production systems, mentoring scientists, establishing evaluation standards, and guiding cross-functional technical initiatives. The role also represents the company through publications, speaking engagements, and technical thought leadership.

Own product features end-to-end, including architecture, integrations, technical specifications, deployment, testing, and production reliability. Use AI agents as the primary development tool, delegate implementation, critically review generated code, and ensure financial transaction reliability. Work independently as an individual contributor while helping evolve the company’s AI-first development process.

Leads the AI payments business end to end, owning P&L, strategy, product direction, team building, execution, growth, revenue, and profitability. Identifies customer and commercial opportunities, collaborates with product, engineering, and design teams to launch products, builds partnerships and operations, and drives continuous improvement. The role requires strong product and commercial judgment, cross-functional leadership, hands-on execution, and experience scaling products or business units.

Own and build an AI-native email app business end to end, including P&L, product strategy, team hiring, execution, partnerships, user growth, revenue, and profitability. The role requires identifying customer and commercial opportunities, working cross-functionally with product, engineering, design, operations, and commercial teams, and delivering measurable business outcomes in a fast-paced, hands-on environment.

Own the full B2B SaaS sales cycle, including defining the ideal customer profile, building pipeline from scratch, selling to CTOs and founders, and closing deals. Translate technical product capabilities into business value, communicate customer insights to founders and product teams, and develop repeatable sales processes, messaging, qualification, pricing, and sequences. The role requires autonomy, strong communication, technical curiosity, and proven commercial performance.

Lead end-to-end technical strategy for customer accounts, from discovery through deployment and platform adoption. Design scalable solutions across data engineering, machine learning, AI, streaming, and real-time analytics. Advise senior technical stakeholders, lead architecture discussions, demonstrate competitive differentiation, coordinate cross-functional resources, develop technical specialization, and influence product direction through customer feedback.

Own the full enterprise sales cycle by building pipeline from scratch, refining the ideal customer profile, engaging CTOs and founders, and closing B2B SaaS deals. Translate autonomous QA capabilities into business value for technical buyers, provide customer feedback to product and founders, and develop repeatable sales playbooks, messaging, qualification, pricing, and outreach processes.

Leads the firm-wide AI capability framework and learning curriculum for lawyers and business teams. Designs role-based learning pathways, practical AI training, and reusable assets; integrates AI skills into existing development programs; partners with senior stakeholders globally; and evaluates learning impact, capability progression, adoption, and behavioral change. The role also establishes responsible AI practices, delivery governance, continuous improvement processes, and a scalable operating model.

Leads end-to-end development and production deployment of machine learning, generative AI, and agentic solutions for payments and banking. Responsibilities include problem framing, experimentation, evaluation, MLOps, LLMOps, governance, monitoring, scalable cloud architecture, security, and systems integration. The role establishes reusable AI capabilities, partners with cross-functional stakeholders, mentors technical teams, and communicates model outcomes and operational tradeoffs to technical and non-technical audiences.

Drive enterprise SaaS sales across the UK and Continental Europe, focusing on financial services, manufacturing, energy, metals and mining, and utilities. Build pipeline through proactive prospecting and account networking, manage complex sales cycles using MEDDICC, meet individual quotas, cultivate executive relationships, and communicate HERE’s security and productivity value proposition. The role requires independently closing large enterprise deals and serving as a solutions consultant for business, engineering, and security stakeholders.

Individual contributor responsible for generating and closing new SME SaaS business across the UK and Continental Europe. The role focuses on proactive prospecting, pipeline development, quota attainment, full-cycle sales, stakeholder management, and value-based presentations to business, engineering, and security leaders. The successful candidate will sell HERE’s enterprise browser platform across multiple industries, manage a high volume of opportunities, leverage MEDDICC, cultivate customer relationships, and build expertise in security, productivity, and digital transformation.

Lead an agile engineering team to design, develop, review, and maintain secure, high-quality production code. Provide technical guidance, drive product and architecture decisions, champion AI-assisted development practices, ensure SDLC automation and validation, and promote reuse and operational stability across engineering teams.

Lead an agile engineering team to design, build, review, and maintain secure, high-quality production software. Provide technical direction, drive product and architecture decisions, champion firmwide SDLC practices and AI-assisted engineering, and ensure operational stability and reusable automation across cloud-native applications.

Lead and manage 2-3 AI POD teams to drive pipeline, revenue, margin, and adoption. Coach and develop sales specialists, run GTM operating cadence, govern pipeline/CRM, engage in executive customer pursuits, coordinate shared resources and OEM partners, and integrate POD work into regional account and territory strategies.

Leads Awin’s AI product strategy, translating AI capabilities into prioritized roadmaps and measurable business outcomes. Partners with executives on investment decisions, determines build-versus-buy approaches, and oversees adoption, revenue, efficiency, and customer impact. Builds and manages a product team, hires and develops talent, and ensures AI-enabled capabilities move from experimentation into shipped, differentiated product experiences.