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Isembard

AI-driven distributed metal-component manufacturing

Computer Vision Engineer

Computer VisionUpdated on Nov 12
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • Strong computer vision and machine learning engineering experience, including deploying models in real-world settings rather than only in research.
  • Proficiency in Python; C++ is useful but not required.
  • Hands-on experience with cameras, optics, or imaging hardware.
  • Ability to build hardware and software together.
  • Comfort working on a live factory floor alongside machinists and inspectors.

Responsibilities

  • Design and build the vision inspection cell, including cameras, optics, lighting, fixturing, and software.
  • Develop computer vision and machine learning models to inspect machined parts.
  • Build the data pipeline for 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.
  • Lead the first in-house project and take vision-based inspection from prototype to a production-running system deployable at multiple sites.

Desired Qualifications

  • Experience in industrial inspection or metrology, robotics, manufacturing, or a startup.

About the Company

Isembard

AI-driven distributed metal-component manufacturing

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.

Company size
51-200
Company stage
Series A
Total funding
$59M
Headquarters
London, United Kingdom
Founded
2024

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