Top AI Jobs in Edinburgh

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

The role involves developing AI-assisted geometry processing methods, geometric representations, and integration with ML and graphics workflows, while collaborating with teams and contributing to research.

As a Staff Software Engineer focused on AI, you'll integrate AI features into the logistics platform, utilizing Elixir, TypeScript, and various ML tools for real-time data processing and predictive analytics. Responsibilities include API design, building fault-tolerant systems, collaborating with data scientists, and mentoring engineers.

The Staff ML Engineer will develop and maintain ML tools for game development, collaborating across teams to integrate machine learning into games and enhancing production workflows.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

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

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

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 AI Engineer at WRITER develops robust AI models and collaborates with teams to integrate ML capabilities into products, ensuring performance and scalability.

The Customer Architect will support customers by creating customized solutions, implementing APIs, and ensuring technical feasibility while enhancing customer success.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

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

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

As a Staff Agentic AI Engineer, you'll develop advanced AI agents for cybersecurity, lead engineering teams, and enhance AI capabilities across the organization.

The AI Support Specialist manages AI system performance, diagnosing issues and optimizing platform integrations to enhance customer experience across partner environments.

Design and implement AI conversational flows, collaborate with cross-functional teams, analyze metrics, and stay updated on AI trends.

Conduct research in natural language processing while developing advanced semantic systems. Collaborate on projects optimized for AI and embedding mechanisms.

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.

You will develop AI-powered features for Mural, collaborating with product and design teams to enhance user experiences and drive AI innovation.

The AI Solutions Director at Nearform leads AI solution development, strategic partnerships, and pre-sales engagements, leveraging deep AI expertise to drive measurable business impact for enterprise clients.

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

This role involves architecting and building AI agent systems, developing full-stack features, and shaping the technical direction of an early-stage startup's AI platform.

As a Founding AI Engineer, you will develop full-stack features using ML models, integrating them into scalable systems while shaping a new AI product from scratch.

The role involves fine-tuning models, designing architectures, building evaluation pipelines, and collaborating on AI product features for a global audience.