Top AI Jobs in Edinburgh

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.

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 Vice President, AI Infrastructure Engineer will design and operate AI infrastructure platforms, ensuring scalability, security, and reliability for AI workloads while collaborating across teams to enhance platform services.

As a Patent Attorney, you will manage and prosecute patent portfolios, provide IP advice to teams, and contribute to IP strategy and governance at Hitachi.

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

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 Enterprise Account Executive at PolyAI will develop customer relationships, drive sales in customer service solutions, and exceed revenue goals while working with key executives in hospitality and finance sectors.

The Managing Consultant will deliver Human Factors projects, ensuring effective collaboration, technical leadership, and management of safety improvement programs, while mentoring juniors and supporting business development.

The Data Architect will develop and manage data integration solutions, support stakeholder engagement, and oversee technology architecture for data projects in defense. The role involves delivering customer solutions, managing lifecycle deliverables, and championing data management standards.

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.

The Robotics ML Expert designs and implements MuJoCo simulations, develops RL algorithms, and collaborates on robotics research and AI training.

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 the development of advanced AI systems, optimize AI performance with prompt engineering, collaborate with data scientists, and deploy AI solutions.

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

Design end-to-end AI experiences for consumer and enterprise products: research opportunity areas, prototype agent behaviour/personality, craft UI/UX and brand-aligned visual expression, and work with engineering to build testable, trustworthy AI solutions.

The role requires training large language models to improve code quality, involving code review, ranking, and feedback integration for reinforcement learning.

The engineer will train large language models to write code, review and refactor AI-generated code, and inject feedback into a reinforcement learning pipeline.

The role involves training large language models to improve code quality by reviewing and refactoring AI-generated code, providing feedback to enhance the learning process.

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.

The Principal Product Manager for AI Platform will drive strategy for Skyscanner's GenAI platform, focusing on developer experience, security, and metrics to boost productivity and ensure responsible AI usage. Collaboration with ML engineers and data scientists is key to delivering impactful solutions.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

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.