Computer Vision Engineer

IC Resources
Oxfordshire, UK
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Testing (Software) Computer Vision C++ (Programming Language) Embedded Software Python (Programming Language) Machine Learning OpenCV Tensorflow Sensor Fusion Pytorch Deep Learning Git
+1 more
Lidar

Requirements

  • Master’s degree in Computer Science, Aerospace Engineering, Robotics, or a related STEM subject
  • 5+ years’ experience developing computer vision algorithms in industry or research
  • Strong understanding of computer vision, image processing, machine learning, and deep learning
  • Experience taking algorithms from concept through testing, validation, and deployment
  • Strong Python and C++ programming skills
  • Experience with OpenCV, PyTorch, TensorFlow, or similar frameworks
  • Knowledge of camera, LiDAR, or multi-sensor perception systems
  • Experience with software testing, integration, and Git-based development workflows
  • Experience in robotics, autonomous systems, embedded software, or safety-critical environments (nice to have)
  • Knowledge of sensor fusion, ROS/ROS2, navigation, or space systems (nice to have)

Benefits & conditions

Why consider it:

  • Solve complex perception and navigation challenges with real-world impact
  • Flexible and hybrid working environment
  • Competitive salary and benefits package
  • Excellent opportunity for career growth within a rapidly expanding deep-tech organisation

Apply for this position

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:39 min

Core skills required for robust robotic systems

Falk-Moritz Schaefer · World Congress 2022

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Achieving real-time tracking performance with OpenCV and segmentation

Thomas Endres Thomas Endres +2 · World Congress 2021

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Validating lidar sensor models against real noise

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Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

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Core hardware and software components of robotics

Florian Gather Florian Gather +1 · World Congress 2026 Europe

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Enhancing realistic mask blending through OpenCV image inpainting

Thomas Endres Thomas Endres +2 · World Congress 2021

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