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Lead Data Scientist - Remote

Exposed Solutions

London

Remote

GBP 80,000 - 110,000

Full time

7 days ago
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Job summary

A leading AI solutions provider is seeking a Lead Data Scientist in London. You will develop and deploy advanced computer vision models and guide the data science team. The ideal candidate has over 6 years in data science, significant experience in MLOps on Azure, and strong coding skills in Python. This position requires applicants to be free to work in the UK.

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 into production.
  • Proven track record with LLM fine-tuning and prompt engineering.

Responsibilities

  • Develop, train, and deploy computer vision models.
  • Fine-tune and evaluate multi-modal LLMs.
  • Provide technical direction and mentoring to the data science team.

Skills

Computer vision
Machine learning
MLOps
Python
Video analysis

Tools

PyTorch
FastAPI
Azure CLI
Azure
Job description
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.
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 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

Exposed Solutions is acting as an employment agency to this client.

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

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