Top AI Jobs in Bristol

The VP Field Marketing is responsible for leading marketing strategy and execution in Europe, focusing on demand generation, brand awareness, and pipeline development while collaborating cross-functionally and driving a data-driven culture.

Responsible for leading post-silicon validation for AI SoCs, ensuring reliability and quality of new silicon. Collaborates across teams to resolve issues and improve validation processes.

Design and run ML experiments, implement and optimize algorithms for hardware efficiency, collaborate with researchers and engineers, and publish and present results at AI conferences.

Conduct research in visual generative modelling, multimodal learning and world models; design and run ML experiments; publish results; collaborate with software and silicon teams to shape hardware-aware algorithms and deployment strategies for embodied AI, robotics and autonomous systems.

Develop and optimize high-performance AI compute libraries and kernels (GEMM, convolutions, reductions, fused ops) in C++. Ensure numerical correctness, add microbenchmarks and regression tests, profile and optimize for hardware, debug and improve product quality, work Agile, and mentor teammates.

Build and maintain backend AI capabilities for GitLab Duo Chat: design flow components and agentic flows in Python/LangGraph, integrate LLMs and multi-agent orchestration, implement and maintain APIs in the Rails monolith, improve observability and reliability, and participate in on-call rotations and cross-functional collaboration to deliver safe, scalable AI chat features.

Lead scientific and strategic AI efforts for Vaccines Medical: define AI vision and roadmap, govern responsible AI standards, prioritize and deliver validated AI-enabled solutions, partner cross-functionally, oversee deployment and adoption, manage budget and vendors, and ensure regulatory, ethical, and scientific compliance across global medical affairs.

Design and build GitLab Duo CLI features in TypeScript, shape AI-assisted developer experiences, improve CLI reliability, observability, and performance, collaborate across Developer Clients, and provide technical leadership and mentorship.

Senior individual contributor producing thought leadership and pragmatic insights on enterprise AI and emerging technologies. Advise C-suite, research market trends, create presentations, support sales and peer review, mentor junior analysts, and drive research process improvements while engaging clients and presenting at industry events.

Conduct and publish original computer science research (with emphasis on AI and/or cyber security), secure research funding, supervise PhD students, teach and develop inclusive curricula, contribute to departmental administration, knowledge transfer, enterprise and public engagement, and support an inclusive academic community.

Lead enterprise sales for Media & Entertainment in the UK: develop market strategies, engage customers and partners, drive adoption of NVIDIA solutions, create references/case studies, identify emerging use cases, and act as NVIDIA's central ecosystem contact to grow business and partnerships.

Early-career Data & AI Associate supporting adoption of data, analytics, AI and Generative AI across UK and international teams. Work spans discovery, experimentation, implementation, governance and adoption, collaborating with Digital, Marketing, Operations, CX, Product and Technology to improve customer engagement and operational performance.

Design and deliver end-to-end features for DAP onboarding and repository/background flows. Build autonomous and scheduled agents that act on customer codebases, improve onboarding experience, collaborate on shared interfaces, review code and designs, and contribute to an async-first, distributed team's technical quality and ownership culture.

Design, build, and operate the high-availability event and trigger system that links GitLab and third-party events to AI-powered Duo Flows. Work in GitLab's Rails monolith, scale for high throughput, influence architecture, add trigger types, collaborate cross-functionally, and participate in Tier 2/3 on-call rotations to troubleshoot production issues.

Sell an AI-powered recruitment platform: prospect and engage clients, present product features, analyze territory and customers, meet sales targets, collaborate with marketing, and provide regular performance reports while maintaining client relationships.

Own outbound sales for a PropTech AI product: cold outreach, qualify leads, book discovery calls and demos, manage CRM activity, refine sales playbook, and scale into a full-cycle closing role.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

Lead a team of controls professionals to translate AI behavior into actionable controls, prototype scalable AI/automation controls, run red-team exercises, steward AI control standards, and engage senior stakeholders to prioritize and deploy AI-enabled control solutions across Asset & Wealth Management.

Lead AI controls enablement by translating AI risks into practical controls, partnering with Controls, Business, and Technology to design scalable solutions, perform risk reviews, implement controls, and advise senior stakeholders to ensure compliant AI adoption.

Manage a cross-functional engineering team building GitLab Duo Chat's AI-powered features. Define requirements with product and UX, contribute to architecture for scalable agentic AI, drive delivery and roadmap execution, improve testing, observability, performance, and coach engineers to foster an inclusive, high-performing team.

As a Staff Backend Engineer at GitLab, you'll enhance backend infrastructure for CI, integrate AI features, and ensure reliability and performance in CI/CD workflows.

Manage the Onboarding Risk team across regions, ensuring high-quality risk decisions, developing team members, and owning onboarding risk procedures. Support complex escalations, collaborate cross-functionally, and keep processes compliant with card scheme rules and payments legislation while improving KPIs and decision frameworks.

Design, build, and iterate traditional data science and AI models to solve client business problems. Collaborate with engineers and stakeholders, produce clean code and reproducible analyses, propose technical solutions for ambiguous problems, and present actionable insights. Deliver production-ready models and become a trusted, autonomous member of a small, fast-moving AI team.

Design and operationalise large-scale GPU AI/HPC datacentre deployments with partners. Advise customers on power distribution, cooling, MEP integration, run PoCs, troubleshoot scaling and performance, deliver technical workshops, and feed product and infrastructure insights back to engineering and business teams.

Lead field-facing AI security strategy for enterprise customers by designing secure LLM/RAG architectures, delivering demos and POVs, advising on data protection and unsanctioned AI usage, and scaling enablement and product feedback across sales, product, and engineering teams.