Data Scientist - Fully Remote

Lead Data Scientist

We're working with a pioneering AI-driven computer vision scale-up on this exciting opportunity.

This is a chance to spearhead the development of a world-class AI platform that leverages multi-modal LLMs and expert-tagged datasets to transform customer service speed and accuracy. You will lead a high-performing team in pushing the boundaries of Computer Vision and Video Analysis, scaling globally to solve complex, real-world visual challenges using a cutting-edge Azure ML stack.

The Role

• Lead the technical direction for machine learning initiatives, focusing on high-impact Computer Vision and multi-modal LLM solutions.
• Architect and productionise end-to-end ML pipelines on Azure, ensuring full scalability, reproducibility, and rigorous model monitoring.
• Develop and fine-tune advanced models for object detection, image classification, and segmentation using PyTorch.
• Drive the strategy for experimentation and prototyping, translating business goals into technical ML roadmaps.
• Mentor a talented team of Data Scientists, fostering best practices in coding, CI/CD, and model evaluation.

What You'll Need

• 6+ years of experience in Data Science/ML with at least 2 years in a technical leadership or Lead Data Scientist role.
• Deep expertise in training and deploying Computer Vision models (Object Detection, Segmentation) into live production environments.
• Proven track record with LLM fine-tuning, prompt engineering, and productionising multi-modal models.
• Extensive hands-on experience with MLOps on Azure, including Azure CLI, FastAPI, and automated CI/CD pipelines.
• Strong Python programming skills and mastery of deep learning frameworks like PyTorch.

What's On Offer

• Competitive salary and package (£60,000 - £80,000).
• Fully remote working environment offering excellent work-life balance.
• The opportunity to work on highly advanced AI models trained on millions of expert-tagged images.
• Impactful role within a scaling global disruptor partnered with leading academic institutions.

Apply via Haystack today!