Top AI Jobs in Bristol

Own the monthly close and group consolidation across Belgium, the UK, Poland, and the US. Prepare consolidated accounts under IFRS and local GAAP, manage intercompany eliminations and FX translation, support statutory and group audits, improve reporting processes using Excel, NetSuite, consolidation tools, and AI-enabled workflows, and mentor accounting team members.

Build and scale 1Password’s Commercial Deal Desk within Revenue Operations. Partner with Sales, Finance, Legal, and cross-functional teams on complex deals, advising on pricing, terms, discounting, approvals, renewals, and amendments. Execute accurate quotes and contracts in Salesforce CPQ/Revenue Cloud, develop approval workflows and commercial policies, create playbooks and training, and improve quote-to-cash processes through automation, AI, and data-driven analysis.

Leads enterprise technology strategy, delivery, and transformation across Finance, FinTech, Legal, and Risk. Oversees product platforms, Agile and DevOps adoption, AI and data initiatives, digital transformation, change management, vendor partnerships, governance, and technology operations. Partners with executive stakeholders to align global priorities, integrate platforms, manage dependencies, and deliver scalable, secure, value-driven outcomes across a federated enterprise technology organization.

Own analyst relationships and engagement across cybersecurity, data protection, backup, disaster recovery, and MSP markets. Manage analyst briefings, evaluations, research submissions, executive preparation, and analyst intelligence programs. Partner with Product Marketing, Product Management, Communications, Sales, and leadership to strengthen market positioning, translate complex technology into compelling narratives, inform go-to-market strategy, and measure analyst relations performance.

Drive responsible AI adoption across the organisation by identifying automation opportunities, facilitating process-mapping workshops, training colleagues, developing guidance, and prototyping AI-powered solutions. The role builds an AI champions network, manages an opportunity pipeline, establishes governance guardrails, and collaborates with the Data, Systems & GIS team to implement internal tools. It is fully remote with travel for workshops and in-person collaboration.

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.

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.

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.

Own and deliver product features across trading, investing, crypto, accounts, and payments. Responsibilities include prioritizing features, interpreting regulations and API documentation, writing detailed specifications, coordinating with Engineering, Design, Legal, Compliance, and Operations, leading testing and launches, and monitoring performance after release. Candidates must have shipped products or features, understand technical systems and data flows, query and explain product data, and regularly use AI in product work.

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.

Leads technical strategy and pre-sales engagement for hyperscale cloud, AI, and data center networking solutions. Partners with customers, hyperscalers, technology providers, sales teams, and product organizations to co-design architectures, shape go-to-market strategy, and influence product development. Requires deep expertise in routing, switching, SDN, network automation, virtualization, and hyperscale infrastructure, plus strong executive communication, RFP response, and relationship-building skills. Travel of up to 50%, including international travel, is required.

Develops Gartner research and thought leadership on the economic impact of AI and technology disruption. Synthesizes economic analysis, quantitative evidence, financial statements, market intelligence, and business context into executive-level insights. Advises clients, presents at conferences and media engagements, supports business development, reviews research, and collaborates with modeling, data science, and data engineering teams. The role also contributes to research strategy, mentors colleagues, and builds authority in technology market economics.

Conduct hands-on research on frontier AI models, reasoning, agents, and multimodal systems. Design benchmarks, evaluation frameworks, and experimental pipelines; rapidly execute research cycles from hypotheses to prototypes and validated findings. Identify model limitations and research opportunities, translate customer challenges into measurable outcomes, and collaborate with engineering and product teams. The role emphasizes LLMs, foundation models, AI security, benchmarking, and evaluation.

Leads enterprise technology strategy for analytics and AI, designing scalable cloud-native data architectures, distributed systems, real-time streaming, and modern data platforms. Establishes reusable architecture patterns, data management practices, governance approaches, and automation strategies within regulated environments. Partners with stakeholders through a consultative approach and evaluates AI, master data, reference data, and data contract implications for enterprise delivery.

Designs and implements enterprise cybersecurity capabilities across cloud, AI, applications, infrastructure, and data. Responsibilities span security architecture, LLM and agentic AI security, red teaming, threat modeling, DevSecOps, secure CI/CD, detection engineering, threat hunting, SIEM/SOAR automation, security data science, knowledge graphs, and advanced security testing.

Leads the development of AI-powered developer productivity tools and shared ML capabilities across the software development lifecycle. Responsibilities include evaluating AI tooling, building RAG and agent systems, implementing MCP integrations, developing ML CI/CD infrastructure, defining productivity metrics, ensuring AI governance and security compliance, creating reusable prompts, and training engineering teams. The role requires hands-on technical leadership, strong MLOps expertise, production ML experience, and the ability to drive adoption across distributed teams.

Build and lead an AI-native digital banking business, defining its proposition, roadmap, business model, and customer experiences across accounts, cards, payments, savings, and money management. Own P&L, deposits, revenue, unit economics, and operating costs. Partner with product, engineering, and AI teams, build the leadership team, establish banking and operational capabilities, and drive regulatory readiness, partnerships, and expansion.

Build and lead an AI-native consumer finance business spanning spending, saving, investing, and everyday financial workflows. Responsibilities include defining product strategy, roadmap, business model, and AI capabilities; owning P&L, growth, revenue, unit economics, and operations; launching and scaling products; collaborating with product and engineering teams; building a cross-functional team; and expanding into new markets.

Leads research and thought leadership on AI-driven HR strategy, transformation, governance, workflow redesign, regulatory environments, and value realization. Produces actionable insights across written, visual, video, and presentation formats; advises CHROs and senior HR leaders; analyzes market trends, vendors, technologies, and client challenges; supports sales and conferences; mentors analysts; and improves research processes.

Own daily operations and quality assurance for an internal AI-powered growth platform. Test releases, rule changes, edge cases, and regressions; document and verify bug fixes; monitor platform and agent activity; manage approval queues; evaluate agent output; escalate risks; and maintain test plans, QA checklists, runbooks, and release notes.

Provide empathetic email-based support for Overleaf and Papers AI users, handling technical, billing, and account inquiries. Maintain and create knowledge-base content, report reproducible bugs, refine support processes, and collaborate with Product, Engineering, Sales, Marketing, Customer Engagement, and Finance. Monitor support trends and surface user feedback while helping establish support documentation and playbooks for an early-stage AI product.

Leads the mid-market business development function, including team building, territory strategy, prospecting, negotiation, closing, pipeline management, and account acquisition and retention across pharma and biotech. Partners with marketing, strategy, and commercial operations on go-to-market execution. Represents the company at industry events and develops relationships with clinical trial sponsors while selling complex AI-powered SaaS solutions.

Build and operate data pipelines across Salesforce, HubSpot, Stripe, and Databricks; maintain go-to-market analytics models and dashboards; develop LLM-based agents and automations for Sales, Marketing, and Finance; and productionize integrations with testing and monitoring.

Build and deploy production machine learning systems for classification, retrieval, ranking, personalization, and evaluation. Develop training and inference pipelines, improve model quality and efficiency, create evaluation datasets and metrics, monitor production performance, debug issues, and ship reliable ML-powered features. The role emphasizes balancing accuracy, relevance, latency, cost, privacy, and reliability while collaborating with engineering and product teams.

Lead technical design and delivery of AI-native email applications. Own architecture and implementation across backend, frontend, APIs, databases and cloud. Stay hands-on writing and reviewing code, debugging production, mentoring engineers, driving major initiatives, improving tooling, and ensuring reliability, security and observability while collaborating with product, design and AI teams.