Top AI Jobs in Bristol

Own and build Oversee’s product marketing function, including ICP definition, positioning, persona messaging, competitive and win/loss research, product content, sales enablement, and end-to-end product launches. Partner closely with product, sales, growth marketing, and executives to translate technical AI and travel technology capabilities into compelling commercial messaging, establish repeatable GTM processes, and measure launch performance.

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.

Build and expand strategic relationships with advisors, investors, partners, and enterprise decision-makers. Identify key stakeholders across top accounts, uncover relevant AI use cases, and create introductions that generate pipeline and business outcomes. Represent the company at executive and industry events, partner with founders to prioritize relationships, and track relationship activity and pipeline impact. The role requires strong analytical ability, executive presence, autonomy, and an established enterprise or investment community network.

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.

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.

Conduct original research in artificial intelligence, particularly perception, action, generative models, reinforcement learning, and autonomous systems. Develop a strong research agenda, teach undergraduate and master's courses, and supervise undergraduate, master's, and PhD projects. The role also requires contributing to a collaborative, research-intensive academic environment.

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.

Provides technical leadership for agentic AI and conversational support experiences. Designs AI behaviors, decision logic, workflows, guardrails, retrieval, tool use, human handoff, and evaluation frameworks. Partners with product, operations, data science, platform, QA, security, and knowledge teams to deliver reliable production solutions. Mentors AI engineers, establishes reusable standards, monitors quality and business outcomes, and evaluates emerging AI technologies.

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.

Lead digital delivery and optimization across AECOM’s England and Wales water operations. Develop digital strategies, advise clients on transformation, data governance, operating models, and platform adoption, and identify AI, automation, and data science opportunities. Lead digital workplans, client workshops, stakeholder engagement, bid responses, and regional team adoption of digital solutions. Partner with account managers and delivery teams to build opportunities and deliver measurable outcomes across complex infrastructure programs.

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.

Owns end-to-end enterprise AI sales for Cloudera’s supported Mistral offering and Anywhere Cloud. Responsibilities include pipeline development, strategic account planning, outbound prospecting, proof-of-concept leadership, technical and executive selling, deal negotiation, forecasting, and expansion revenue. The role coordinates engineering, product, legal, implementation, partners, and account teams while positioning AI solutions within customers’ data strategies and hybrid infrastructure.

Lead and scale an AI-driven creative design team producing performance marketing assets for paid media. Own creative direction, production workflows, quality control, testing, and performance-driven iteration. Develop AI tool expertise, prompt and style libraries, and automated workflows with engineering partners. Collaborate with marketers, media buyers, copywriters, producers, and video editors while remaining hands-on with design and AI tools.

Build and lead n8n’s internal AI and automation enablement function. Run recurring workshops, office hours, build-alongs, bounty hunts, hackathons, and dogfooding initiatives for technical and non-technical teams. Develop reusable templates, measure AI fluency and adoption, support cross-functional champions, and act as product owner for a safe internal automation playground. Partner with IT, Security, Data, and Solutions Engineering to define access, credential, and environment requirements.

Build and operate high-throughput backend services for financial crime detection across WorldRemit and Sendwave. Responsibilities include developing alerting, screening, risk-rating, and agentic AI investigation workflows; integrating third-party compliance platforms; improving observability, reliability, and auditability; collaborating with compliance teams; reviewing designs and code; and participating in on-call production support. The role requires strong Java and Spring expertise, event-driven systems experience, and familiarity with cloud and infrastructure tooling.

Build and deploy production generative AI systems, including RAG pipelines, agentic workflows, document understanding, document generation, and conversational interfaces. Own AI architecture, implementation, evaluation, testing, observability, and deployment while collaborating with product, design, and engineering teams to deliver reliable user-facing functionality for legal technology products.

Leads the design, development, deployment, and governance of scalable Data and AI solutions using Databricks, Microsoft Foundry, and Azure. Defines AI technology roadmaps, mentors engineering teams, identifies high-value business use cases, prototypes and scales AI products, and ensures secure, ethical, enterprise-integrated implementations.

Design, build, evaluate, deploy, and operate production AI systems using LLMs, retrieval, agents, predictive ML, and model adaptation. Translate ambiguous business problems into reliable system behavior, establish evaluation and monitoring practices, troubleshoot complex failures, and improve AI-enabled product, engineering, and operational workflows. Collaborate across architecture, platform, security, data, quality, product, and domain teams while mentoring engineers and owning systems through continuous improvement.

Own and improve Clipboard’s internal operations tooling ecosystem by building workflows, integrations, and automations. Partner with Engineering and Operations leaders to define requirements, write technical specifications, prioritize initiatives, troubleshoot production issues, improve system reliability, and introduce AI-driven solutions that increase operational efficiency and scalability.

Manage consulting engagements for energy network clients across capital delivery, asset management, operating model improvement, field operations, and digital transformation. Shape improvements across people, processes, technology, governance, and performance management. Help clients deploy pragmatic data and AI solutions, mobilize delivery, land operational change, and develop proposals and client relationships. The role requires utilities or asset-intensive industry experience and involves travel to client sites, typically one to two days per week.