Lead Data Scientist - Remote

Exposed Solutions; City Of London; Remote; GBP 70,000 - 100,000; Full time

Job summary

A leading AI firm in the United Kingdom is seeking an experienced Lead Data Scientist to drive machine-learning initiatives with a particular emphasis on computer vision and large language models. You will be responsible for developing and deploying advanced ML solutions while mentoring a team of data scientists. This role offers an opportunity to work on cutting-edge technology and solve real-world challenges within a dynamic environment.

Qualifications

• Experience in developing and deploying computer vision models.
• Strong background in large language models and machine learning solutions.
• Ability to mentor and lead a data science team.

Responsibilities

• Lead machine-learning initiatives focused on computer vision and ML pipelines.
• Develop and deploy advanced ML models to solve real-world challenges.
• Collaborate with cross-functional teams to align ML goals with business needs.

Skills

Machine learning

Computer vision

Large language models

Azure ML

Team leadership

Job description

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.

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, 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 pip...