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.

Lead research and architect GenAI solutions for cybersecurity, design and implement LLM and deep learning models, drive training and deployment at scale, mentor scientists, establish evaluation frameworks, and represent technical leadership through publications and cross-functional collaboration.

Ownership of backend features for Agentic Tools: design and implement GraphQL/REST APIs, build secure scalable Ruby on Rails services, improve RSpec automated tests, collaborate across product and AI teams, participate in Tier 2 on-call, and shape architecture for AI agent interactions with GitLab.

Lead and scale an AI Security incubation team to drive technical GTM strategy, recruit and mentor principal AI security specialists, enable global sales with repeatable POVs and playbooks, advise Fortune 500 C-levels on safe AI deployments, and feed field insights into Product and Engineering to drive revenue growth.

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.

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.

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.

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.

As a Senior Product Manager, you will define and evolve GitLab's AI Platform Management capabilities, focusing on AI Control Plane and strategic governance. You'll lead product discovery, drive stakeholder alignment, and collaborate across teams to deliver effective management solutions for AI usage.

As an AI Subject Matter Expert, you will guide the application of AI in core DevOps, partnering with stakeholders to enhance developer productivity and software delivery.

Lead global payroll strategy and transformation for 30,000 employees across 56 countries, driving AI/RPA and middleware integrations, ensuring SOX and global data/tax compliance, consolidating vendor ecosystem, aligning payroll with Total Rewards and Finance, and upskilling the global payroll delivery team.

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.

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.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

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.

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.

Lead UK sales for Airbus Protect's SOC/MDR services: define go-to-market strategy, prospect and close complex accounts (aeronautical, CNI, defence), build C-level relationships, manage sales cycle and CRM (Salesforce), perform market analysis, and collaborate with internal teams to forecast revenue and ensure customer satisfaction. Security clearance eligibility required.

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.

As an AI Transformation Owner at GitLab, you will shape AI strategies, improve workflows, and drive adoption of AI solutions in your organization, working closely with an AI Engineer.

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.

Lead Data & AI strategy engagements for public-sector and regulated clients: assess maturity, prioritise use cases, build business and investment cases, design transformation roadmaps, advise on technology strategy, and support sales, delivery and capability building. Act as trusted advisor to senior stakeholders and mentor consultants to move clients from experimentation to scaled delivery.

Lead Responsible AI, ethics and assurance engagements: design frameworks, perform impact and ethical risk assessments, define assurance approaches, advise on AI governance, review AI systems (including GenAI/LLMs), support bids, and build internal capability through playbooks, training and delivery assurance.

Support data analysis, data quality assessment, readiness and remediation for higher education partners. Build dashboards and reports, engage stakeholders, run workshops, coordinate data cleansing and validation, and contribute to internal data practice development.