Computer Vision Data Scientist
Easy Apply
Computer Vision Data Scientist
Remote (UK-based)
£80,000 + Bonus
The Opportunity
We’re supporting a growing technology business developing advanced AI systems that operate in complex, real-world environments.
Their work focuses on applying computer vision and machine learning to image and video data, solving challenging problems around detection, classification, and real-time analysis.
This is a great opportunity to work on systems where models are deployed into live environments, rather than purely research or offline use cases.
The Role
You’ll join a newly formed data science team, focusing on computer vision and image-based modelling.
The role is highly hands-on, working across the full lifecycle, from data and model development through to deployment, collaborating closely with software and engineering teams.
What You’ll Be Doing
- Developing and training computer vision models for detection and classification
- Working with image and video data from real-world environments
- Building and optimising object detection pipelines
- Handling large and complex datasets, including labelling and augmentation
- Improving performance for challenging scenarios (e.g. small or distant objects)
- Collaborating with engineers to deploy models into production systems
What They’re Looking For
- Strong experience in computer vision and deep learning
- Hands-on experience with frameworks such as PyTorch or TensorFlow
- Experience with object detection models (e.g. YOLO, Faster R-CNN, etc.)
- Strong Python programming skills
- Experience working with real-world image or video data
Nice to Have
- Experience with OpenCV or traditional image processing techniques
- Experience working with sensor or camera-based systems
- Exposure to real-time or edge deployment
- Experience with multi-spectral or infrared imagery
If this role looks a good fit, or you'd like to find out more about the business and their products, please apply directly.
You must be based in the UK to be eligible for this role.
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