Salary: £45,000 - 50,000 per year Requirements: Master’s or PhD in Computer Science, Engineering, Data Science, or a closely related field 3 years of hands-on experience in machine learning and computer vision (PhD research can count toward experience) Strong proficiency in Python Solid experience with deep learning frameworks such as PyTorch or TensorFlow Strong understanding of computer vision techniques, including CNNs, object detection, and image segmentation Experience working with satellite or aerial imagery for tasks such as object detection, classification, or change detection Familiarity with cloud-based deployment and MLOps tools, including Docker and Azure Experience handling large datasets and optimizing model performance Additional desirable attributes: Experience with geospatial data formats (GeoTIFF, Shapefiles), familiarity with remote sensing concepts and Earth observation data, experience with MLOps pipelines, CI/CD, or model monitoring, background in working with large-scale, production-grade ML systems Responsibilities: Develop and implement object detection models using satellite imagery data Design end-to-end computer vision pipelines, from data preprocessing to model training and evaluation Work with multi-source satellite imagery (e.g., optical, SAR) and prepare datasets for machine learning Optimize model accuracy, robustness, and computational efficiency Deploy trained models using Docker and integrate them into cloud-based environments (Azure) Collaborate with geospatial, data engineering, and product teams to translate business problems into technical solutions Validate model outputs and continuously improve performance using feedback and new data Document methodologies, experiments, and results clearly for internal and external stakeholders Technologies: Azure CI/CD Cloud Computer Vision Docker Machine Learning PyTorch Python TensorFlow More: At Origin, we are a clean tech company based in Newcastle upon Tyne, delivering cutting-edge solutions for the Offshore, Nuclear, and Utilities sectors. As a fast-growing business with a track record of success and exciting product innovations, we offer real opportunities for career progression and personal development. Our benefits include casual dress, company events, a pension scheme, a cycle to work scheme, enhanced maternity leave, private medical insurance, and the flexibility to work from home. last updated 52 week of 2025