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.

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

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.

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.

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.

The Principal Product Specialist will drive sales strategy, manage Proof of Concept processes, and facilitate customer engagement for DSPM solutions across EMEA, ensuring product evolution based on customer feedback.

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.

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 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.

The AI & Automation Lead will oversee a team in delivering automation and AI solutions, providing technical guidance, ensuring quality, and engaging clients in various industries to support their transformation journeys.

Lead a small AI-native product team as a player-coach: own discovery, build, launch and production code for customer-facing AI products. Drive fast experimentation loops, shape AI-native operating practices, line-manage engineers, and ensure impact-driven delivery measured by real user outcomes.

As an Applied AI Solution Engineer, you will design, build, and deploy AI applications, interact with clients, and solve technical problems, leading teams and ensuring solution quality.

The Senior Applied AI Solution Engineer will design, develop, and lead AI applications, mentor engineers, and communicate with clients to align AI strategies with business objectives.

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.

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.

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.

The role involves building GenAI solutions, using AI tools daily to enhance software engineering processes, collaborating with teams, and establishing AI architecture standards.

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

The VP of Business Development will drive commercial growth in Europe, focusing on strategic opportunities with renewable energy stakeholders and building relationships to enhance market presence.

The AI Developer will design, implement, and deploy AI agents and workflows, integrating advanced models and ensuring reliable performance in production environments.