Machine Learning Engineer
Minerva Defence
Machine Learning Engineer
Minerva Defence
Minerva Defence · London, United Kingdom (Hybrid) · Full-time · Posted 2026-11-06
Workplace: hybrid
Department: Software Engineering
As a machine learning engineer in the computer vision team you will be responsible for designing, training, evaluating and deploying machine learning models onto a large fleet of operational vehicles.
Minerva Defence is one of the fastest-growing defence technology companies in Europe. We create the software, hardware and networking that make unmanned systems effective on the modern battlefield, all ideated, designed and manufactured end-to-end in the UK and in active use today. We are deliberately low-profile: a team of around 80, small in headcount and outsized in effect. We look for people who are not just talented but genuinely committed to the work, the team, and the purpose behind it.
You’ll join the team responsible for the vision and autonomy stack on the vehicles. The work spans navigation, perception and guidance. Engineers will be expected to operate across the full range of the problem set from collecting/designing datasets, model selection/training, optimisation for inference on-edge, flight testing on real systems and monitoring/improving operational performance.
Responsibilities
Build and improve the models behind vision-based navigation, perception and guidance.
Design, collect and if necessary build annotation pipelines for real and simulated datasets.
Design and train deep neural network based computer vision models
Optimise models for deployment on edge compute
Work with the flight control engineers so model outputs feed reliably into guidance
Diagnose failure modes from flight data and fix them through data or model changes
Minimum:
Hands-on experience training and evaluating deep neural networks on real-world image or video data
Strong Python, plus experience with a major deep learning framework such as PyTorch
Experience getting a model running on real hardware or in a production system
Able to work from our London office on a hybrid basis
Preferred:
Experience with visual navigation, visual odometry or SLAM
Experience with object detection or classification
Familiarity with guidance, navigation and control concepts
Experience fusing data from multiple sensors or imaging types
Experience deploying models to embedded hardware, including quantisation and/or distillation
Eligible for UK SC clearance (UK citizen or 5+ years UK residency)
We offer competitive compensation including;
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