Lead Data Scientist - Remote

Exposed Solutions; Easter Howgate; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading AI solutions provider in Scotland is seeking a skilled Lead Data Scientist to spearhead machine-learning projects focused on computer vision and large language models. The role involves mentoring a team, driving innovative solutions, and productionising ML pipelines. Candidates should have a strong background in machine learning and experience with Azure. Competitive salary, opportunity for global impact, and a chance to work at the cutting edge of AI technology.

Qualifications

• Proven experience in developing machine learning models.
• Strong background in computer vision and natural language processing.
• Experience mentoring and leading data science teams.

Responsibilities

• Spearhead machine-learning initiatives focusing on advanced AI techniques.
• Architect and productionise end-to-end ML pipelines.
• Collaborate with cross-functional teams to align ML strategy.

Skills

Machine Learning

Computer Vision

Large Language Models

ML Pipelines

Technical Leadership

Education

Ph.D. in Computer Science or related field

Tools

Azure ML

Python

TensorFlow

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...