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.

As a Senior Backend Engineer at GitLab, you'll design and optimize AI-driven backend features for CI processes, improve system reliability, and collaborate cross-functionally to enhance platform performance.

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.

As a Manual Test Analyst, you will ensure software quality within an AI Programme by executing test plans, documenting results, and collaborating with stakeholders.

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

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.

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.

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 role involves developing Python-based automation frameworks, designing automated tests for AI systems, and integrating these into CI/CD pipelines to ensure high-quality delivery of AI-powered features.

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

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.

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 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 Lead Power Platform & AI Architect will manage the end-to-end architecture, delivery, and governance of intelligent solutions using the Power Platform and AI technologies, while coordinating cross-functional teams and ensuring alignment with editorial standards.

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 a Senior Full Stack Developer, you'll design and maintain web applications, optimize backend data services, and implement AI-driven solutions for network operations using Python and React.

The role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.

Train large language models to write code by reviewing code snippets and providing feedback for improvements. Requires 3+ years of Ruby experience.

As a Software Engineer in AI, you will train large language models, rank and review code snippets, and provide feedback for improvements.

The role involves training large language models to write production-grade code using Java, performing code reviews, refactoring, and providing detailed explanations for coding decisions.

Train large language models to write production-grade code across languages, review and improve AI-generated code, and maintain the RLHF feedback pipeline.

As a Rust Software Engineer, you'll train large language models to generate and refine code, compare snippets, and ensure quality through detailed code reviews.