2 of 2 Remote Lead Data Scientist Jobs in Edinburgh

heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an … experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy … evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability More ❯

heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an … experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy … evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability More ❯