Lead Data Scientist - Remote

Exposed Solutions Careers; Remote; GBP 80,000 - 100,000; Full time

Job summary

A leading AI platform company in the UK is seeking a Lead Data Scientist to spearhead ML initiatives, focusing on computer vision and large language models. The ideal candidate will have over 6 years of experience in data science and at least 2 years in a technical lead role. Responsibilities include developing ML models, mentoring the data science team, and ensuring the successful deployment of AI solutions in Azure. This position is a key part of a team pushing the boundaries of technology in real-world applications.

Qualifications

• 6+ years in data science / ML, with at least 2 years in a technical lead role.

Responsibilities

• Develop and deploy computer vision models.
• Fine-tune multimodal LLMs for business applications.
• Provide technical direction and mentoring to the team.
• Align ML strategy with business goals.
• Architect and productionise ML pipelines on Azure.

Skills

Computer vision

Machine learning

Large language models

Azure ML pipelines

Job description

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

They have invested heavily in building the ML stack, partnered with leading universities, and trained models on millions of expert‑tagged images. Now, they are scaling globally and need a world‑class Lead Data Scientist to 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 computer vision models (object detection, image classification, segmentation, multimodal learning)
• Fine‑tune, evaluate, and productionise multimodal 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.