Top AI Jobs in Edinburgh

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

The Senior AI/ML Engineer will design and optimize scalable systems, productionize AI prototypes, solve performance issues, and collaborate with teams on innovative solutions.

Design, build, and scale intelligent systems using AI/ML across various domains including LLMs, Computer Vision and Speech AI, integrating these into business workflows.

The Senior AI Engineer will lead AI strategy, develop Large Language Models and data pipelines, and integrate AI into products while fostering innovation.

The Principal Product Manager for AI Travel will lead pricing intelligence and reconciliation systems across travel verticals, collaborate with cross-functional teams, and scale model-driven infrastructure for financial management.

Design, build, deploy, and maintain scalable AI/ML pipelines and production models (including LLMs). Collaborate with data scientists and engineers to optimize model performance, latency, and cost on cloud platforms using MLOps practices, containerization, and CI/CD. Integrate AI capabilities into client and internal applications and monitor models in production.

As a Business Change Manager - AI, you will lead AI adoption and transformation initiatives, work with business teams to enhance processes, and provide coaching on AI tools.

Create and maintain UK employment tax content and AI-enabled guidance for the Tolley+ platform; monitor tax developments; collaborate with editors and subject-matter experts to deliver clear, practical content for varied audiences.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

Serve as a senior technical pre-sales consultant for OneStream AI solutions: deliver demos to finance leaders, support sales teams, assess client AI needs, design integrations, and enable internal and partner staff.

As a Curriculum Manager, you will manage content development for the data science and engineering curriculum, collaborating with instructors and teams to enhance learning experiences.

Manage curriculum development for data science and engineering, collaborate with instructors, create content, and drive improvements based on learner feedback.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

The AI Research Engineer will lead independent research in AI methodologies, design evaluation frameworks, conduct experiments, mentor team members, and publish findings to advance the AI field.

As a Senior AI Engineer, you will design and develop intelligent conversational systems, focusing on agentic workflows, ML/NLP products, and mentoring engineers while improving recruiting efficiency.

The AI Deployment Engineer manages the technical integration of CrewAI's platform with customers, ensuring successful deployment and customer relationships post-sale while addressing technical challenges and optimization needs.

The Senior Director leads AI transformation in procurement, creating research content, offering actionable insights, and collaborating to drive strategy and change management.

The PhD Research Intern will develop AI and computer vision algorithms for robotic systems, enhance perception, and transition research to production. Responsibilities include collaboration, documentation, and evaluation of research.

Lead AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

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

As an AI Implementation Engineer, you'll design AI solutions to enhance business processes, develop automation workflows, and integrate systems, while collaborating with diverse teams.