Computer Vision Engineer
Isembard
Computer Vision Engineer
Isembard
AI-driven distributed metal-component manufacturing
Isembard is rebuilding industrial capacity through a connected network of factories. We bring skilled people, advanced machine tools and our own software, MasonOS, together to make precision components for aerospace, defence, energy and robotics.
Every part we make has to be inspected before it ships, and in precision manufacturing inspection is slow, skilled work. Our robotics team is building a computer vision inspection cell for the shop floor, and this role leads that work.
You will be one of the first engineers in the team, leading its first in-house project and taking vision-based inspection from prototype to a system that runs in production and can be deployed at many sites.
Design and build the vision inspection cell: cameras, optics, lighting, fixturing and software.
Develop computer vision and machine learning models to inspect machined parts.
Build the data pipeline behind them: capture, labelling, training and evaluation.
Validate results against conventional measurement, and agree with the quality team where vision can be trusted.
Integrate the cell with MasonOS so results feed the factory's records.
Strong computer vision and machine learning engineering experience, with models deployed in the real world rather than only in research.
Proficiency in Python; C++ is useful.
Hands-on experience with cameras, optics or imaging hardware.
An engineer's approach: comfortable building hardware and software together.
Comfort working on a live factory floor, close to the machinists and inspectors who will use what you build.
Useful, not essential: industrial inspection or metrology, robotics, or experience in a manufacturing environment or a startup.
Isembard is a London-based software-first manufacturing network that runs AI-powered factories to produce high-precision metal parts for aerospace, defence, energy, and robotics. It uses modular factory builds and a franchise model with MasonOS—the AI-native operating layer that handles quoting, CAD/CAM, procurement, scheduling, quality assurance and logistics across 5-axis CNC and robotic cells. Factories hold ISO 9001, Cyber Essentials and JOSCAR certifications. The company has raised a $9M seed and a $50M Series A to grow to about 25 facilities by late 2026 in the UK, US, Germany, France and Ukraine, serving both defence/autonomy startups and established OEMs, and sometimes managing complete supply chains for customers.
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