Machine Learning Engineer

Job Title: Machine Learning Engineer - Computer Vision

Location: UK Remote/Hybrid

Salary: £65,000 - £85,000 plus benefits

Why Apply?
This is a chance to take ownership of a clearly defined machine learning problem space within a growing technology environment focused on real-world AI applications. You will lead the development of computer vision models used to detect damage on large commercial vehicles, working with complex imagery, challenging angles, and highly variable real-world data. The role offers genuine ownership, fast iteration cycles, and the opportunity to see your models deployed into operational use rather than remaining in research.

Responsibilities
Design, train and optimise computer vision models for vehicle damage detection using object detection and segmentation approaches
Improve model accuracy, precision and recall across priority damage categories through structured evaluation and retraining
Work closely with data and annotation teams to define damage classes, identify data gaps and address class imbalance
Carry out error analysis to understand false positives and negatives and drive targeted model improvements
Own evaluation datasets, metrics and performance reporting across training, validation and test sets
Collaborate with MLOps and platform teams to package, deploy and monitor models in production
Identify performance issues such as data drift and support rollout of inspection capability to additional locations

Requirements
Strong experience in machine learning focused on computer vision
Hands-on experience training and deploying object detection or segmentation models such as YOLO or similar architectures
Proficiency in Python and common ML and computer vision libraries
Experience working with large image datasets and noisy real-world data
Ability to translate operational or business problems into measurable ML objectives
Comfortable working in an iterative, delivery-focused engineering environment

What's in it for me?
Ownership of an end-to-end ML problem with real operational impact
Opportunity to build and scale production computer vision systems
Work with cross-functional teams spanning data, operations and platform engineering
Exposure to complex, real-world datasets rather than synthetic or lab-only use cases
Long-term growth as part of an expanding AI capability

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion or belief, sexual orientation or age.