Top AI Jobs in Edinburgh

The Managing Consultant will deliver Human Factors projects, ensuring effective collaboration, technical leadership, and management of safety improvement programs, while mentoring juniors and supporting business development.

Samsara seeks a Staff Software Engineer to lead technical design and architecture on the Fleet Safety team, improving driver safety through software for enterprise fleets. Responsibilities include developing applications, designing systems for event tracking, and addressing production issues.

The role involves managing projects, developing policy solutions for financial advice, engaging stakeholders, and supporting team culture within the Consumer Investments Advice Policy Team.

The Channel Sales Manager will focus on driving revenue growth through strategic partnerships, managing partner relationships, and closing complex identity deals, while exceeding revenue targets.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Define the strategic vision for the Video-Based Safety platform, integrating AI and Computer Vision to enhance safety and efficiency in physical operations. Lead cross-functional teams and mentor product managers while driving innovation in a rapidly growing company.

As Senior Product Manager for Video-based Safety, you will define, own, and execute the product strategy involving AI/ML models to enhance safety outcomes, collaborating with engineering and design teams.

As a Fullstack Engineer, you will build AI-assisted developer tools in GitLab Duo, working with TypeScript and Kotlin across various platforms, collaborating closely with engineering teams.

The Regional Sales Manager will lead a sales team to acquire new corporate clients and expand market share through strategic planning and execution.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

Lead and manage a team focused on machine learning infrastructure, guiding development and ensuring high-quality delivery while fostering a collaborative and inclusive environment.

The AI Lead will strategize and drive the adoption of AI tools within Group Corporate Affairs, enhance workflow automation, and foster a culture of upskilling and innovation.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

The role involves backend development for text-to-speech systems, ensuring infrastructure efficiency, and deploying high-availability applications with a focus on AI and audio technology.

Join a pioneering team in post-quantum cryptography, working on RISC-V based security solutions. Collaborate on innovative technologies in a flexible environment.

The Director of AI will drive AI strategy across the company, manage R&D efforts, lead adoption of AI workflows, and establish success metrics.

As a Solutions Architect, you will drive innovation for NVIDIA customers by providing expertise in Generative AI post-training, especially utilizing LLMs and data processing techniques. Responsibilities include building proof-of-concepts, collaborating with various teams to integrate NVIDIA technology, and guiding customers on tools and methodologies for model alignment and training.

The role oversees NVIDIA's developer relations focusing on AI and deep learning, fostering engineering partnerships, and strategic community building.