Top AI Jobs in Edinburgh

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.

As an Intermediate Frontend Engineer, you will develop features for GitLab's AI discovery platform, collaborating with cross-functional teams to create user-friendly interfaces using Vue.js and GraphQL.

The role involves training LLMs to evaluate and improve code, requiring strong JavaScript/Svelte skills and code review capabilities.

The Software Engineer, AI role involves training LLMs, comparing and ranking code snippets, and injecting feedback into the RLHF pipeline.

Train large-language models by comparing code snippets, repairing and refactoring AI-generated code, and injecting feedback into the RLHF pipeline.

As a Software Engineer, you'll train large-language models to write code by evaluating code snippets, refactoring AI-generated code, and injecting feedback into the RLHF pipeline.

Work on training large-language models by evaluating, ranking, and improving AI-generated code through feedback and collaboration. Requires attention to detail and strong code-review instincts.

This role involves training large-language models by evaluating and improving AI-generated code across various programming languages, focusing on code correctness and performance.

As a Software Engineer at SandboxAQ, you will design, develop, and prototype AI systems, collaborating across teams to build innovative full-stack applications and improve products.

Design and lead scalable Azure AI solutions, mentor teams, optimize performance, and stay updated with industry trends for clients.

Train large-language models to write production-grade code by evaluating code snippets, repairing AI-generated code, and injecting feedback into the RLHF pipeline.

The role involves training large-language models by comparing, ranking, and repairing AI-generated code, providing feedback, and ensuring a smooth RLHF pipeline.

Evaluate and improve AI-generated code by ranking snippets, repairing errors, and providing feedback for reinforcement learning models.

Design and implement services for a GPU inference platform, focusing on performance, scalability, and API development for AI models.

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 Senior Python Engineer will develop and deploy AI systems, optimize LLM performance, and collaborate with teams to deliver impactful solutions.

The Senior Software Engineer will design and build AI coding tools, optimize codebases, and drive engineering best practices while shaping team culture.

As a Senior AI Engineer, you'll develop AI-powered features, enhance user workflows, and collaborate across teams to integrate generative AI capabilities into products.

Lead the development of LLM-based applications, architecting solutions, collaborating with teams globally, ensuring quality through testing and agile methodologies.

As a Senior Full Stack Engineer at CoachHub, you will design, develop, and maintain frontend and backend web applications, collaborating closely with various teams and using technologies such as React and AWS.

As a Staff Software Engineer, you will develop ML solutions, improve workflows across teams, document your work, and drive coding excellence.

Design and develop AI prototypes using machine learning technologies, collaborating with teams to define use cases, and optimize app performance.

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.

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.