Top AI Jobs in Edinburgh

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.

Build, deploy, and operate secure, scalable production software and platform components that support machine learning and generative AI. Collaborate with data scientists and product partners to translate prototypes into reliable services, own features end-to-end, maintain code quality, observability, and participate in incident response and CI/CD workflows.

The Senior AI Engineer will design, build, and deploy generative AI systems, collaborating with clients to drive AI adoption and deliver business impact in financial services.

Lead the design and development of generative AI systems, focusing on LLMs and MLOps pipelines within financial services, guiding teams in strategic AI adoption.

Lead and scale multi-team AI engineering and data science organization to design, deliver, and govern GenAI, LLM, Vision AI, and multi-agent knowledge products; own end-to-end solution design, Agile delivery, quality standards, production validation, stakeholder alignment, hiring, and organizational capability building.

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.

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.

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 operation and maintenance of vulnerability management programs and tooling, refine detection and triage processes, collaborate with engineering on remediation, generate compliance reports, participate in incident investigations, automate security workflows, and improve vulnerability management documentation and processes.

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.

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.

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

The VP of AI Platform Engineering will lead AI development at BlackRock, focusing on scalable architecture, team management, and cross-functional coordination to enhance engineering capabilities and empower technologists.

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.

The AI Business Transformation & Design Strategist leads AI-led projects, defining strategies for AI deployment in procurement processes and guiding clients through organizational changes to optimize workflows and efficiency.

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.

The Lead AI Engineer will lead the AI Ops team, developing automations and AI agents to improve internal operations and customer service in a fintech setting, while managing engineers and prioritizing tasks effectively.

Lead benefits and value management for AI initiatives: define measurable outcomes, shape PoCs, track and validate benefits, drive organisation-wide engagement and communications, build communities of practice, capture and triage ideas, and continuously improve how the FCA realises value from AI.

The role involves leading insights into AI strategies for legal departments, providing unique research and guidance, and engaging with top legal executives on technology adoption and governance.

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.

Lead full-stack development for a legal AI platform: design intuitive UIs and robust backends, integrate AI/LLMs with applications, architect scalable systems, mentor junior developers, collaborate with AI researchers, and automate systems for efficiency.

Build and own AI-native product features end-to-end: design retrieval and context strategies, integrate LLMs and tools, build evaluation frameworks, operate production systems, and mentor engineers.