Lead Data Scientist - Remote

Exposed Solutions; City of Edinburgh; Remote; GBP 70,000 - 90,000; Full time

Job summary

A leading technology firm in Edinburgh is seeking a skilled Lead Data Scientist. This role involves developing advanced computer vision models and fine-tuning multimodal LLMs for real-world applications. Candidates should have over 6 years of experience in data science and strong expertise in MLOps on Azure. The position offers an opportunity to work with cutting-edge technology in a collaborative environment.

Qualifications

• 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.
• Proven track record with LLM fine-tuning and productionisation.

Responsibilities

• Develop and deploy computer vision models.
• Fine-tune and evaluate LLMs for business applications.
• Provide mentoring and guidance to the data science team.

Skills

Computer vision models

LLM fine-tuning

MLOps on Azure

Python programming

Tools

PyTorch

FastAPI

Azure CLI

Job description

Role Overview

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.

Responsibilities

• 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.

Requirements

• 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

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