Top AI Jobs in Edinburgh

Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.

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.

Lead the design and development of generative AI systems, focusing on LLMs and MLOps pipelines within financial services, guiding teams in strategic AI adoption.

The Vice President, AI Infrastructure Engineer will design and operate AI infrastructure platforms, ensuring scalability, security, and reliability for AI workloads while collaborating across teams to enhance platform services.

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 leading insights into AI strategies for legal departments, providing unique research and guidance, and engaging with top legal executives on technology adoption and governance.

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

The Customer Solutions Director leads operational delivery and talent management for the EMEA team, overseeing quantum optimization projects and ensuring customer success through strategic guidance and team leadership.

Manage end-to-end delivery of public safety software implementations from contract signature through go-live and into service. Coordinate internal and external teams, third-party contractors and customer stakeholders, track milestones, budgets and risks, run senior boards, manage escalations and ensure delivery to required quality, time and cost.

The Enterprise Account Executive at PolyAI will develop customer relationships, drive sales in customer service solutions, and exceed revenue goals while working with key executives in hospitality and finance sectors.

As an Applied AI Solution Engineer, you will design, build, and deploy AI applications, interact with clients, and solve technical problems, leading teams and ensuring solution quality.

The Senior Applied AI Solution Engineer will design, develop, and lead AI applications, mentor engineers, and communicate with clients to align AI strategies with business objectives.

Lead the technical evolution of process automation integrating RPA and AI, focusing on designing and deploying solutions to enhance business operations.

The Founding Account Executive will manage the full sales cycle, building relationships with technical buyers, closing deals, and collaborating with the CRO to shape pricing strategies and pipeline generation.

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

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

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

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.

Review, rank, and improve AI-generated code to train LLMs: compare implementations, repair/refactor for correctness, efficiency, and style, and provide detailed feedback for RLHF pipelines. Work asynchronously as a remote contractor, injecting ratings, edits, and test results to improve model outputs.

Evaluate and improve AI-generated code: compare and rank snippets, repair and refactor for correctness, efficiency, and style, and inject detailed feedback and test results into the RLHF training pipeline as an asynchronous remote contributor.

Review, rank, and improve AI-generated code across languages, focusing on Ruby. Repair/refactor code, provide detailed written justifications, and inject ratings/edits/test results into the RLHF pipeline to help train models.

Evaluate, rank, repair, and refactor AI-generated code to improve correctness, efficiency, and style; provide detailed written feedback for RLHF pipelines; and help maintain the code-evaluation and training workflow remotely.