ML Engineer, Computer Vision for Edge Autonomy

Minerva Defence; Worcester; Hybrid; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Share options vesting over three years

Bupa private medical insurance

6% employer pension contribution

25 days leave plus bank holidays

Enhanced mat/pat leave

Enterprise level AI tooling

Relocation support/home office budget

Job summary

Minerva Defence is seeking a machine learning engineer to design, train, evaluate and deploy ML models for a fleet of operational vehicles. The role covers the full CV stack from dataset collection to on-edge inference, with emphasis on perception, navigation and guidance in real-world conditions.

You will join a small, fast-growing defence tech team in the UK, working hybrid from London and contributing to end-to-end ML solutions, from data collection to deployment on embedded hardware, with

Qualifications

• 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.

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

Skills

Python

Deep learning

Image/video data

Edge deployment

Tools

PyTorch

Edge devices

Job description

Minerva Defence is seeking a machine learning engineer to design, train, evaluate and deploy ML models for a fleet of operational vehicles. The role covers the full CV stack from dataset collection to on-edge inference, with emphasis on perception, navigation and guidance in real-world conditions.

You will join a small, fast-growing defence tech team in the UK, working hybrid from London and contributing to end-to-end ML solutions, from data collection to deployment on embedded hardware, with