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 developing new and maintaining existing kernels for linear algebra operations on AI hardware, while profiling and optimizing performance.

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.

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.

Build, ship, and maintain backend features enabling AI agents to interact with GitLab. Design GraphQL/REST APIs, extend tests (RSpec), work with PostgreSQL, troubleshoot production issues, and collaborate cross-functionally to integrate AI tooling responsibly.

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.

The Research Engineer will advance AI research, implement ML experiments, collaborate with engineers, and publish findings at conferences.

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 end-to-end airframe software architecture and teams to translate engineering requirements into authoritative designs. Implement MBSE and software engineering guardrails, define modelling specs (UML/BPMN/Archimate), ensure V&V and QA, support industrialization to TRL6, scout technologies, publish research, and drive cross-functional programs to deliver on time, cost, and quality while representing Airbus externally.

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.

Support and enhance ADI's global compliance program aligned to enterprise risk and ISO 37301. Monitor regulatory developments, update policies, execute risk‑based monitoring and testing, manage investigations and remediation, support audits, develop training and communications, track metrics, and collaborate with Legal, HR, Finance, IT, and Operations to drive continuous improvement.

Lead and support execution of ADI's global compliance programs: risk‑based monitoring, policy management, testing, investigations, training, ISO 37301 alignment, audits, remediation, and cross‑functional stakeholder coordination.

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.

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

As a Research Scientist, develop new visual generative AI ideas, work on multimodal modelling, and collaborate on hardware-aware AI algorithms and systems.

Design, implement, deploy, and operate production-grade AI systems powered by LLMs. Build LLM applications, orchestration, RAG retrieval systems, integration layers, scalable infrastructure, observability, and CI/CD. Collaborate with product and engineering teams and iterate from prototype to production.

Manage business relationships with GSIs in EMEA, focusing on AI-enabled services and program development partnering with NVIDIA solution architects. Drive sales strategies, track progress, and foster collaboration among teams.

Lead design and delivery of end-to-end AI solutions spanning traditional ML, data science and Gen AI. Identify Gen AI opportunities, provide technical direction, ensure code quality, manage client stakeholders, and mentor delivery teams to produce production-ready outcomes aligned to client needs.

Lead a new AI Ops team (start with two engineers) to build, ship, and scale automations and agentic tooling across internal operations; prioritize requests, maintain AI tooling health, integrate AI into products, train teams, and demonstrate measurable value.

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.

Senior client-facing consultant who leads front-end AI advisory engagements: shaping use cases, value narratives, pre-sales, executive briefings, and translation of business priorities to AI engineering teams.

As a Lead AI Scientist, you'll oversee AI solution designs, project delivery, and collaboration with cross-functional teams while ensuring ethical AI practices and mentoring junior members.