Lead Data Scientist

Exposed Solutions
Hermiston, Alba / Scotland, United Kingdom
9 months ago
Applications closed

Related Jobs

View all jobs

Data Science Lead - Fulfilment

Ocado United Kingdom
Hybrid

Data Science Lead - Logistics

Ocado London, United Kingdom
Hybrid

Data Science Manager - Fulfilment

Ocado United Kingdom
Hybrid

Data Science Manager - Logistics

Ocado London, United Kingdom
Hybrid

Lab Automation Lead - biotech

HAYS Specialist Recruitment London, United Kingdom
£60,000 – £75,000 pa On-site

Senior Applied Scientist, Insights, Prime Video

Amazon London, United Kingdom
On-site
Work Location
Remote
Seniority
Lead
Posted
23 Aug 2025 (9 months ago)

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 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.

· 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

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Robotics Jobs in the UK: Roles, Skills, Salaries and How to Get Hired (2026 Guide)

Robotics Jobs UK 2026: roles, salaries and skills for engineers and researchers in manufacturing, logistics, autonomous vehicles, defence and healthcare. In the UK, most robotics jobs cluster around hubs such as London, Cambridge, Bristol, Oxford, Manchester and Edinburgh, with common titles including Robotics Engineer, SLAM Engineer, Controls Engineer and Mechatronics Engineer. The most efficient way to browse live robotics jobs is via specialist boards like RoboticsJobs.co.uk, which curate roles specifically in this field so you are not lost in generic tech listings. This guide covers everything you need to know about robotics jobs in the UK in 2026, from the roles and skills in demand to where to find live opportunities and how to stand out as a candidate.

Where to Advertise Robotics Jobs in the UK (2026 Guide)

Where to advertise robotics jobs UK in 2026: the specialist boards, university channels and community routes that reach robotics, SLAM and controls talent. The candidate pool spans mechanical engineers, software developers, controls specialists, computer vision researchers and systems integrators — a multidisciplinary mix that general job boards are poorly equipped to reach. The strongest robotics candidates are often embedded in research groups, defence programmes or advanced manufacturing environments, and move between roles through specialist networks and industry events rather than mainstream platforms. This guide, published by RoboticsJobs.co.uk, covers where to advertise robotics roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.