Top AI Jobs in Edinburgh

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.

As an Intermediate Backend Engineer at GitLab, you will develop AI capabilities, collaborate in an agile environment, maintain code quality, and support the team with troubleshooting. Experience in Python and knowledge of AI technologies is essential.

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 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.

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

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.

Enable internal teams to design, build, and scale AI-powered automations using n8n, focusing on requirements discovery, workflow implementation, and lifecycle ownership.

As a Python Back-End Engineer, you'll develop AI-powered features, integrate with AI platforms, support workflow automation, and ensure system reliability.

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

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.

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

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

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.