Computer Vision & Machine Learning Engineer
Autonomous Systems | Defense Technology
Overview
We’re working with a highly innovative, venture-backed defense technology startup building next-generation autonomous systems designed to operate in complex, real-world environments.
Founded by experienced engineers with a strong track record in robotics and software, the team is developing advanced systems that combine computer vision, machine learning, and control systems to detect, track, and respond to fast-moving aerial threats.
This is an opportunity to work on mission-critical technology with real-world impact, within an engineering-led culture that values speed, ownership, and technical excellence.
What You’ll Be Doing
- Develop and optimise computer vision algorithms for real-time detection, tracking, and classification of dynamic objects
- Design and deploy machine learning models that perform reliably in resource-constrained, edge environments
- Work closely with hardware and electrical engineers to integrate perception systems into embedded platforms
- Test and validate models across a range of real-world scenarios and environmental conditions
- Contribute to scaling prototypes into robust, field-ready systems
- Support the evolution of the platform across different use cases and operational requirements
What We’re Looking For
- Strong background in computer vision and machine learning, ideally within robotics or autonomous systems
- 4+ years of experience developing and deploying ML-based vision systems
- Experience working on real-time or safety-critical applications
- Proficiency in Python and/or C++, with hands-on experience using frameworks such as PyTorch, TensorFlow, or similar
- Experience deploying models in embedded or edge environments
- Familiarity with sensor systems such as cameras, LiDAR, or radar
- Strong problem-solving mindset and ability to work in cross-functional engineering teams
Nice to Have
- Experience in robotics, autonomy, or defense-related applications
- Exposure to tracking systems, sensor fusion, or control systems
- Background in deploying models to production in constrained environments
What’s On Offer
- Competitive salary + equity
- Full benefits package (health, dental, vision)
- Paid time off
- Opportunity to work on cutting-edge, real-world autonomous systems
