Computer Vision Engineer

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CORE COMPETENCIES

• Hands-on experience with computer vision libraries and frameworks (OpenCV, PyTorch, or

TensorFlow)

• Proficiency in Python, with experience writing production-quality code beyond notebooks and
  prototypes
• Practical experience deploying ML models into production or staging environments
• Understanding of image processing fundamentals: filtering, calibration, registration, and geometric
  transforms
• Familiarity with containerisation (Docker) and CI/CD pipelines for ML systems
• Experience working with large image datasets and efficient data loading strategies
• Strong debugging and profiling skills for performance-critical applications
• Able to communicate technical trade-offs clearly to both engineering and non-technical colleagues

BONUS COMPETENCIES

• Experience with multispectral or hyperspectral imaging data
• Exposure to edge inference frameworks (ONNX Runtime, TensorRT, or OpenVINO)
• Familiarity with cloud infrastructure (AWS preferred) for model serving and data storage
• Understanding of MLOps tooling such as experiment tracking, model registries, and automated
  retraining workflows
• Prior experience with object detection or semantic segmentation architectures (YOLO, U-Net, Mask

R-CNN)

• Background in agriculture, plant science, or environmental monitoring
• Experience working with embedded Linux systems or single-board computers

OUR VALUES
As an equal opportunity employer, we encourage individuals across any sexual
orientation, race, religion, ethnicity, age, gender, neurodiversity, and/or disability to
apply. Our ethos is to propagate creative talent, each individual provides a key facet
to our culture.
We are aware of the pressures of today's lifestyle and operate flexible work times
and locations to facilitate. Staff training programmes help you develop your future
with high-performing but laid-back individuals. A constant supply of local coffee
and tea and a collaborative music playlist set the scene for those Monday
mornings.