Lead Data Scientist - Remote

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

Job summary

A leading technology firm in Greater London is seeking an experienced Lead Data Scientist to spearhead machine-learning initiatives. The role entails developing computer vision models, fine-tuning multimodal LLMs, and providing technical guidance to the data science team. Candidates should have over 6 years in data science, including 2 years in a technical lead role, and expertise in Azure ML pipelines. This position offers the opportunity to drive impactful AI solutions.

Qualifications

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

Responsibilities

• Develop, train, and deploy computer vision models.
• Fine-tune and productionise multi-modal LLMs.
• Drive experimentation and prototyping of ML techniques.
• Provide technical direction and mentoring to the data science team.
• Work with stakeholders to align ML strategy with business goals.
• Architect and productionise ML pipelines on Azure.

Skills

Machine learning

Computer vision

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’ve invested heavily in building the ML stack, partnered with leading universities, and trained models on millions of expert‑tagged images. Now, they are rescaling 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, 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.