Top AI Jobs in Edinburgh

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.

As a Senior AI Engineer, you will architect workflows for AI agents, develop ML/NLP products, and mentor engineers in crafting intelligent recruiting systems.

As a Senior Software Engineer, you will design and build applications using Python and AI, optimize performance, collaborate with teams, and support client requirements in an agile environment.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

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.

This role involves managing revenue operations, building analytical tools, redesigning processes, and using AI to optimize workflows while collaborating with cross-functional teams.

The AI Developer will design, implement, and deploy AI agents and workflows, integrating advanced models and ensuring reliable performance in production environments.

Serve as a strategic legal advisor in AI and privacy, provide governance, develop sales collateral, and oversee compliance for data protection.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

The AI Architect will lead technical execution of AI strategies, design autonomous agent systems, and guide clients in deploying Generative AI solutions.

The AI Adoption Specialist helps enterprise teams utilize AI effectively by redesigning workflows, creating reusable assets, coaching on AI use, and enhancing AI literacy for long-term adoption.

As a Technical Lead, you will guide software engineering teams, translate client requirements into applications, ensure best practices, and shape technical direction while mentoring team members.

The role involves creating original math problems, auditing existing content for accuracy, operating AI tools for content generation, and collaborating with the academic team to deliver pedagogically sound math resources.

The AI/ML Architect leads technical development and implementation of AI/ML solutions, manages client relationships, and ensures delivery of business value while serving as a trusted advisor and mentor to teams.

As a Senior Full Stack Developer, you'll design and maintain web applications, optimize backend data services, and implement AI-driven solutions for network operations using Python and React.

The AI Account Executive will manage sales cycles, build a self-sourced pipeline in AI, and engage with C-level executives to close new deals.

As an AI Solutions Architect, you will consult with clients, design tailored AI security solutions, demonstrate products, and lead proof of concept projects while providing support and training.

The role requires deploying AI solutions and automations for clients, building prototypes, integrating systems, and collaborating with various teams while ensuring effective client interaction.

The role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.

The role involves training large language models to write production-grade code using Java, performing code reviews, refactoring, and providing detailed explanations for coding decisions.

Train large language models to write production-grade code across languages, review and improve AI-generated code, and maintain the RLHF feedback pipeline.