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.

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.

Design and operate AI infrastructure platforms to support machine learning models and scalable, secure cloud-native services while ensuring compliance and operational stability.

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

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

Design and deliver complex product features using AI tools, build AI-native workflows, and mentor teams to enhance engineering practices.

The Customer Solutions Director leads operational delivery and talent management for the EMEA team, overseeing quantum optimization projects and ensuring customer success through strategic guidance and team leadership.

The Campaign Operations Manager will lead AI integration and automation within EMEA Marketing, optimizing campaign processes and performance analysis, while driving change management.

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 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.

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.

Join a pioneering team in post-quantum cryptography, working on RISC-V based security solutions. Collaborate on innovative technologies in a flexible environment.

The AI Solutions Internship involves supporting AI platform adoption, building AI tools, and helping users effectively utilize search and automations.

The Head of Internal AI at UserTesting will define and implement AI strategy, drive governance, and ensure measurable business impact of AI initiatives across the company.

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.

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.

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.

The AI Engineer will develop and maintain AI infrastructure, implement ML solutions, curate datasets, and collaborate with teams to enhance products.

The role focuses on deploying AI SDR agents and optimizing sales processes through automation, enhancing productivity across the revenue team while requiring hands-on experience in AI implementation in B2B sales environments.