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Data Scientist
Job Posted: 2 hours ago
Salary: £ 70,000 - 80,000 / Annum
Job Type: Permanent
Location: Reading, Berkshire
Expire in: a month
Job Description
Data Scientist
Are you passionate about pushing the boundaries of Machine Vision? We’re looking for a talented Data Scientist specialising in Machine Vision or Spatial Analysis to develop, train, and deploy advanced image and video detection models across EO, IR, near-IR, and multi-band data sources.
You’ll work at the forefront of deep learning and classical computer vision, designing solutions for challenging real-world applications including small and distant object detection, multi-modal fusion, and real-time performance optimisation.
Key Responsibilities
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Design, train, and optimise detection and classification models using deep learning and classical computer vision techniques.
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Manage and prepare large-scale imagery datasets, including labelling, augmentation, and quality checks.
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Develop algorithms for multi-spectral and fused EO/IR/near-IR data.
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Validate, benchmark, and refine models for deployment in real-time or embedded environments.
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Collaborate with engineering teams to integrate, deploy, and maintain production-grade vision models.
Requirements
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Strong expertise in machine vision, including CNNs, transformer-based architectures, and classical CV methods (OpenCV, scikit-image).
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Proficiency in Python and key ML/vision libraries (PyTorch, TensorFlow, NumPy, SciPy, scikit-learn).
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Experience designing models for detection/classification (YOLO, Faster R-CNN, RetinaNet, ViT, EfficientNet).
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Hands-on experience with imagery across EO, IR, and/or multi-band datasets.
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Solid understanding of machine learning fundamentals, training workflows, and evaluation metrics.
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Master’s/Ph.D. in Computer Vision, Machine Learning, Data Science, Applied Mathematics, or related field, plus 2–5 years’ relevant experience.
Soft Skills
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Strong analytical mindset with exceptional problem-solving abilities.
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Clear communication and documentation skills.
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Proactive, collaborative, and comfortable working in a fast-paced, research-driven environmentBefore You Apply
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