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.

Design, build, and operate cloud-native AI infrastructure and platform services to support model development, training, evaluation, and inference. Implement IaC and automation, enable ML/LLM production deployments within governed enterprise environments, build observability and monitoring, collaborate with security and cross-functional partners, and support on-call/operational duties.

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.

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.

Work with Azure Engineering Operations to support enterprise customers: perform health checks, troubleshoot and escalate incidents, conduct root-cause analysis, gather customer feedback, and collaborate with product and engineering teams to improve cloud and AI platform experiences.

Leads global strategic sourcing and procurement for digital technology and Food & Nutrition categories. Manages $125M+ in spend, SaaS and professional services suppliers, sourcing strategies, RFPs, contracts, supplier governance, performance, risk, and cost optimization. Partners with senior stakeholders, Legal, Infosec, sourcing teams, and suppliers to support digital transformation, standardization, automation, and commercial objectives.

Lead Genesys’ EMEA Product Support organization, managing global teams that resolve complex customer and partner issues. Responsibilities include organizational planning, budgeting, staffing, KPI development, customer experience improvements, cloud-focused service design, executive engagement, cross-functional program execution, and presales support. The role requires hands-on leadership, talent development, global stakeholder management, relationship building, and effective delivery within a fast-paced SaaS environment.

Serves as the primary technical advisor for strategic enterprise customers, guiding platform optimization, architecture, integrations, security, reliability, and feature adoption. Conducts technical health reviews, identifies risks, troubleshoots complex integration issues, develops technical success plans, and delivers training and workshops. Acts as the technical liaison between customers and internal product, engineering, and support teams while advising on compliance, authentication, data protection, and scalable cloud architectures.

Leads European defense business development for autonomous sensing and edge-AI payloads used in military uncrewed aerial systems. Responsibilities include entering European markets, building relationships with Ministries of Defence and aerospace OEMs, sourcing and closing major opportunities, leading capture strategies and proposals, coordinating demonstrations and flight trials, and providing market intelligence to product teams. The role requires deep European defense, UAS, procurement, and technical expertise, frequent travel, and an EU/NATO Secret or equivalent clearance.

Lead research and advisory on application security for enterprise applications (ERP/CRM). Produce thought leadership, client-facing insights, presentations, market analysis, and support sales. Mentor analysts, drive research agenda, improve processes, and advise CIOs on security strategy, vendor evaluation, metrics, and vulnerability testing across major vendors (SAP, Salesforce, Workday, Oracle).

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.

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.

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.

Lead design and delivery of AI agent architecture and production agent systems. Define engineering standards, build integrations and APIs, translate product goals into an AI roadmap, ship end-to-end LLM-powered features, mentor engineers, and author decision records and evaluation frameworks.