Top AI Jobs in Edinburgh

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 AI First Developer will deliver high-quality product features using AI across the development lifecycle, optimizing workflows and mentoring others in AI-driven engineering principles.

As an Intermediate Backend Engineer, you'll enhance GitLab's AI capabilities using Ruby on Rails and Python, collaborating with other teams to improve the product and generate innovative solutions.

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

The AI Platform Engineer designs and maintains cloud infrastructure with a focus on Kubernetes, oversees release management, and builds a high-performing team.

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 Lead/Principal Python Engineer will develop LLM-based AI applications, utilizing frameworks and techniques for performance and scalability, while mentoring team members and collaborating across global teams.

As a Staff Backend Engineer at Zencoder, you'll lead technical direction, mentor engineers, and ensure high standards in system design and quality while collaborating across teams.

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.

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.

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.

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

The Technical Lead for AI Tools will build backend systems, develop AI integrations, mentor engineers, and lead the technical direction of the team.

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

The AI Engineer will build and deploy full-stack applications, integrate ML models, develop APIs, and design user-friendly interfaces, collaborating across teams to enhance intelligent systems in financial services.

As a Founding AI Engineer, you will develop AI-integrated full-stack systems, collaborating with cross-functional teams to enhance user experiences and deliver impactful features.

Join Welo Data's global contributor network to work on flexible, remote AI projects such as annotation, evaluation, and prompt creation, requiring Albanian fluency.

As an LLM Engineer, you will optimize large language models for user interactions, oversee algorithm development, manage datasets, and enhance product features.

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.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

Lead the design and development of platforms for AI initiatives, ensuring scalability and efficiency. Collaborate with teams, mentor engineers, and drive new initiatives in a fast-paced environment.

The Senior Cloud Architect will lead cloud-based AI/ML solution development, engage with clients, enhance technical skills, and mentor team members while working with advanced AWS technologies.

As a Senior Cloud Architect, you will architect, deploy and manage AI/ML cloud solutions while mentoring team members and optimizing workflows.