Top Artificial Intelligence Jobs in Glasgow

As a Staff Backend Engineer at GitLab, you'll enhance backend infrastructure for CI, integrate AI features, and ensure reliability and performance in CI/CD workflows.

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.

Act as a techno-functional specialist to design and deliver end-to-end solutions across SAP CRM and SAP IS-U. Translate business needs into functional designs and delivery backlogs, collaborate with stakeholders and engineering teams to build, test, and release integrations, use data-driven analysis to optimise processes and leverage AI-enabled tools to improve decision-making and customer outcomes.

The Software Engineer will shape AI governance in developer tooling, build product features, collaborate with teams, support users, and innovate rapidly.

As a Full Stack Developer on the AI Team, you will build production-ready backend and full-stack features, integrating AI functionality into the think-cell product while collaborating with C++ and AI engineers.

Design, build, and maintain autonomous automations using agentic toolchains (Claude, MCP, Cortex). Extract and specify manual workflows, implement Python/API-based automations, instrument logging/alerts, drive adoption with non-technical teams, and escalate successful automations into platform services.

The Staff Software Engineer will develop AI tools integrated with game engines and services, focusing on C++ and automation for game development.

Design and build scalable applications using JavaScript or Python, implement data storage solutions, optimise performance, ensure testing and CI/CD practices, collaborate with clients and technical leaders, and maintain high code quality through reviews and agile delivery.

As a Software Engineer at Euphoric, you'll develop AI-driven features, collaborate across the tech stack, maintain quality code, and contribute to an innovative benefits platform.

Manage the GTM AI Engineering team overseeing automation, AI agent strategy, and integration with sales and marketing for revenue growth.

The Lead Backend Engineer will design scalable backend systems, mentor engineers, integrate AI, and define architecture for Midnite's back office platform.

The Senior Fullstack Engineer will develop fullstack features for Midnite's internal platform, collaborate on AI improvements, and mentor junior engineers.

The Senior .Net Developer will enhance SDG's C#/.NET Core codebase, design high-load services, and optimize MS SQL queries, benefiting from a remote work environment and attractive benefits.

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.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

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 AI Engineering Manager will build and lead a high-performing team focused on AI agents, workflow orchestration, and navigating evolving technology, ensuring clarity and delivering impactful results.

Design and operate large-scale GPU infrastructure for distributed AI training, ensuring reliability, performance, and efficient customer partnerships.

The Site Reliability Engineer will provision and manage Kubernetes clusters, build automation tools, debug customer issues, and improve infrastructure reliability.

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

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

As a Technical Lead, you will guide software engineering teams, translate client requirements into applications, ensure best practices, and shape technical direction while mentoring team members.

As the primary engineer for Aperture OS, you will own the full codebase, drive feature development, manage API and AI integrations, and ensure security and scalability in a multi-tenant SaaS environment.