Lead Data Scientist: Remote

Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy.

They've invested 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.

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.

• Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning)
• Fine-tune, 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, reproducibility, and monitoring of deployed models.

• 6+ years in data science / ML, with at least 2 years in a technical lead role.
• Deep experience in training and deploying computer vision models into production
• Proven track record with LLM fine-tuning, prompt engineering and productionisation
• Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines.
• Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI.
• ALL APPLICANTS MUST BE FREE TO WORK IN THE UK

Exposed Solutions is acting as an employment agency to this client.

Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.