Top Artificial Intelligence Jobs in Glasgow

As an Experienced Software Engineer, develop scalable systems using Java or Python, execute software solutions, and enhance application stability through technical troubleshooting and coding best practices.

The Senior Lead Data Architect develops data architecture solutions, manages data governance, and ensures quality standards in software applications.

As a Lead Software Engineer, you'll design, develop, and deliver innovative software solutions while mentoring other engineers and driving best practices in UI and integration.

Lead the design of enterprise-wide data and AI platforms, collaborating with stakeholders to implement strategic architecture using cloud-native technologies.

As a Staff Backend Engineer, you'll build Python web services, lead technical projects, and mentor engineers while driving AI integration and system performance optimization.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

Contribute to fullstack features using JavaScript, Ruby, and Python, collaborating with teams for development, bug fixes, and performance enhancement.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

The role focuses on improving AI cluster resiliency through AIOps solutions, automation workflows, and customer engagement for installations and troubleshooting.

Lead architecture and execution for data platforms and LLM products, focusing on scalable solutions and team collaboration to drive outcomes.

As an AI & Automation Engineer, you'll design and optimize automation workflows, integrate systems, and develop AI tools to enhance operational efficiency.

The Senior Developer Relations Manager will engage developer ecosystems, drive adoption of NVIDIA technologies, and collaborate across functions to enhance developer programs and solutions.

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.

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 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.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

As a Founding AI/ML Software Engineer, you'll design and deploy ML models for financial services, contribute to AI systems, and collaborate with cross-functional teams.

As a Founding AI Engineer, you will develop full-stack applications, integrate machine learning models, and collaborate with teams to deliver AI-powered financial services.

As an AI Engineer, you'll build full-stack applications integrating ML models, develop APIs, and design user-friendly interfaces in a collaborative environment focused on impactful solutions.

Build and deploy full-stack applications incorporating ML models, integrating with data scientists and engineering teams, focusing on AI-powered features for financial services.

Responsible for designing, implementing, and maintaining cloud infrastructure focused on Kubernetes and containerization, while building and leading a team for release management and operations.

Seeking a Senior AI Full-Stack Software Engineer to develop AI-powered features and lead projects from concept to launch, focusing on quality through test automation.

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

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.