Top AI Jobs in Edinburgh

The VP Field Marketing is responsible for leading marketing strategy and execution in Europe, focusing on demand generation, brand awareness, and pipeline development while collaborating cross-functionally and driving a data-driven culture.

The role involves supervising Peer-to-Peer and Investment-Based Crowdfunding firms, conducting financial analysis, and using data insights to guide regulatory strategies. You will engage with stakeholders, manage risks, and ensure compliance with FCA standards.

The AI Sales Director will sell Wasabi's cloud storage solutions to AI/ML and data-intensive companies, generate leads, and build partnerships to drive revenue.

The Principal Product Specialist will drive sales strategy, manage Proof of Concept processes, and facilitate customer engagement for DSPM solutions across EMEA, ensuring product evolution based on customer feedback.

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.

As an AI Transformation Owner at GitLab, you will shape AI strategies, improve workflows, and drive adoption of AI solutions in your organization, working closely with an AI Engineer.

As an Internal Auditor, you will plan and execute audits, manage compliance, and participate in various business projects, ensuring adherence to audit standards.

The Senior AI Engineer will design, build, and deploy generative AI systems, collaborating with clients to drive AI adoption and deliver business impact in financial services.

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.

As a Staff Backend Engineer at GitLab, you'll enhance backend infrastructure for CI, integrate AI features, and ensure reliability and performance in CI/CD workflows.

As a Senior Backend Engineer at GitLab, you'll design and optimize AI-driven backend features for CI processes, improve system reliability, and collaborate cross-functionally to enhance platform performance.

As Lead Product Manager, you'll drive the evolution of the Immersive One platform, coordinating product development and ensuring alignment with user needs while analyzing data to define success metrics and product roadmap.

The role involves researching AI cybersecurity challenges, developing insights for clients, conducting presentations, and collaborating with peers on innovative strategies for managing AI risks.

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

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

As a Patent Attorney, you will manage and prosecute patent portfolios, provide IP advice to teams, and contribute to IP strategy and governance at Hitachi.

The AI Business Transformation & Design Strategist leads AI-led projects, defining strategies for AI deployment in procurement processes and guiding clients through organizational changes to optimize workflows and efficiency.

The Lead AI Engineer will lead the AI Ops team, developing automations and AI agents to improve internal operations and customer service in a fintech setting, while managing engineers and prioritizing tasks effectively.

Design and deliver complex product features using AI tools, build AI-native workflows, and mentor teams to enhance engineering practices.

Lead the AI strategy for Group Corporate Affairs, delivering AI solutions and driving adoption while managing a small team and enhancing AI literacy.

The Lead AI Engineer will standardize AI solutions, establish technical architectures, enhance CI/CD pipelines, and lead engineering teams in delivering AI solutions for regulatory challenges.

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.