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Lead Data Scientist - Remote

Exposed Solutions

Remote

GBP 85,000 - 110,000

Full time

2 days ago
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Job summary

A leading technology firm in Greater London is seeking an experienced Lead Data Scientist to drive machine learning initiatives, focusing on computer vision and large language models. In this role, you will act as the technical lead, guiding best practices and ensuring successful delivery of high-impact AI solutions. The ideal candidate will have over 6 years of experience in data science with at least 2 years in a technical lead capacity, working with stakeholders to align ML strategies with business goals.

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, evaluate, and productionise multimodal LLMs.
  • Drive experimentation and prototyping of advanced ML/AI techniques.
  • Provide technical direction, mentoring, and hands-on guidance.
  • Work with stakeholders to align ML strategy with business goals.
  • Architect and productionise end-to-end ML pipelines on Azure.

Skills

Machine learning
Computer vision
Large language models
Azure
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.

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