Top Artificial Intelligence Jobs in Glasgow

As a Software Engineer II, you will design, develop, and troubleshoot software solutions at JPMorgan Chase, contributing to secure and stable code development and team culture.

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.

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.

As a QA Annotator, review and classify data, ensure quality control, and provide constructive feedback on AI-related projects.

As a QA Annotator, review data, ensure quality assurance, label content, and flag incorrect material while participating in AI projects.

As a QA Annotator, review and ensure the quality of AI-generated content, provide feedback, and classify materials while participating in various projects as available.

The role involves reviewing AI-generated content, ensuring quality control, labeling data, and identifying incorrect material. Freelance and project-based work.

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 Engineering Manager will lead a cross-functional team of engineers, fostering innovation and collaboration while driving product delivery and quality in AI Agents development at Zendesk.

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.

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

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.

The Senior Solutions Architect will work on deploying and optimizing AI workloads on GPU clusters, troubleshoot performance issues, and assist customers with advanced AI training 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.

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

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.

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 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.

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

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.