Top AI Jobs in Edinburgh

The Senior Knowledge Strategist will architect and implement an Enterprise Knowledge Management system to streamline information sharing and operational efficiency across IOG, driving innovation and supporting AI initiatives.

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.

Lead AI initiatives for Data Intelligence product, managing the product lifecycle and collaborating across teams to deliver AI solutions.

The Tech Lead will architect and implement AI systems, oversee model integration and ensure compliance with security standards while collaborating with teams on scalable solutions.

The AI Presales Specialist will lead technical sales efforts, demonstrate AI capabilities, architect solutions, and engage with customers to drive AI sales opportunities.

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 an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

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.

Develop and maintain generative AI software with Python, design robust APIs, collaborate with researchers, and enhance applications' performance and scalability.

The AI Mentor will guide learners in the L5 AI Leader Apprenticeship, supporting their progress, project implementation, and assessments while fostering innovation and productivity in their organizations.

The Senior Specialist will design and implement AI systems, lead engineering projects, mentor engineers, and collaborate across teams to align technical execution with business needs.

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.

Pre-Sales AI Solution Designers collaborate with teams to propose AI-driven solutions, design architectures, present capabilities, and assist with proposals, ensuring compliance and ethical standards in AI development.

As an AI Email Marketing Specialist, you will execute and automate email campaigns, manage segmentation and A/B testing, and implement AI tools for marketing efficiency.

Lead AI strategy and execution at Pigment, mentor a team in AI and data science, and drive AI integration across the organization.

As a Lead AI Engineer, you will design and deliver AI solutions using machine learning and cloud technologies, mentor a team, and ensure responsible AI practices.

Create AI-driven video ads for TikTok campaigns by using tools like Runway and Pika, editing for performance, and experimenting with formats.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

As an AI/ML Engineer, you will design and develop AI-powered applications, integrate AI features into BPM systems, and collaborate with teams to improve operational efficiency through innovative AI solutions.

Lead the LLM team at EverAI, managing architecture, training, deployment of AI models, and ensuring user experience through effective moderation and alignment strategies.

WunderGraph seeks a Staff FullStack AI Engineer to lead architecture for AI-driven projects, mentoring engineers and ensuring scalable, secure systems. Responsibilities include backend and frontend development with a focus on AI workflows and enterprise readiness.

The Senior DevOps Engineer will design, implement, and optimize ML/AI pipelines using Azure Databricks, ensuring AI models are production-ready and scalable.

Build and maintain high-performance cross-platform desktop applications integrated with AI features and real-time collaboration functionalities, while ensuring optimal performance across macOS and Windows 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.