Top Artificial Intelligence Jobs in Glasgow

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.

Lead design and implementation of complex open-source AI solutions, provide technical guidance, engage with clients, and contribute to open-source communities.

Design and implement services for a GPU inference platform, focusing on performance, scalability, and API development for AI models.

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 Senior Python Engineer will develop and deploy AI systems, optimize LLM performance, and collaborate with teams to deliver impactful solutions.

The Senior Automation and AI Manager will drive the efficiency of Airalo Support by leveraging AI and automation tools to enhance customer support operations, focusing on automating workflows and improving chatbot performance.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

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.

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.

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

The Machine Learning Engineer will architect and develop an AI platform for scientific workflows, integrating autonomous agents, and collaborating with cross-functional teams on ML/AI systems.

As a Software Engineer, AI, you will design and build AI-driven solutions, integrate AI models, develop backend services, and collaborate with teams to ensure security and reliability.

The Senior .NET Developer will design architecture for high-loaded applications, develop functionalities, implement components and services, and ensure quality control.

As an AI Applied Engineer at Redis, you will build and maintain AI ecosystem integrations, collaborate with teams, and drive customer implementations while leveraging Generative AI.

As a Senior Software Engineer at Nebius, you'll design and develop a large-scale LLM training platform, maintain ML infrastructure, and improve job scheduling strategies.

The Staff Engineer, AI will lead the design and architectural decisions for AI systems, mentor teams, and ensure innovative, scalable solutions that meet customer needs.

Skedda seeks a Senior AI Full-Stack Software Engineer to develop AI-powered features, implement test automation, and manage projects from concept to launch.

As an AI Engineer at Fanvue, you'll develop AI-powered tools, optimize workflows, and integrate systems to enhance productivity for creators and executives.

The AI Developer Tooling Engineer will enhance AI tools for software development, optimize workflows, and improve developer productivity at Fanvue.

As a Senior Software Engineer, you'll create advanced AI systems to improve developer productivity, integrate existing tools, and mentor junior engineers.

Develop and optimize low-level kernels for AI inference, improve inference engines, debug performance issues, and collaborate across teams.

Join Welo Data's global contributor network to work on flexible, remote AI projects such as annotation, evaluation, and prompt creation, requiring Albanian fluency.

RapidSOS seeks an AI Software Engineer to develop AI-driven solutions for emergency call centers, enhance data-driven decision making, and improve response times by integrating AI within the company's platform.

Develop and maintain AI ecosystem integrations, collaboratively work with customers on implementations, and enhance Redis products using GenAI frameworks.

Lead AI-enabled engineering initiative, designing multi-agent systems for software development, integrating AI tools, and collaborating across teams to innovate workflows.