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  "job_title": "Senior Engineer, Data Engineering",
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  "employer_name": "Cortech Talent Solutions Ltd",
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  "job_description": "Role: Data Engineer Location: Glasgow\nHybrid Work :3 days per week and 2x WFH\nTech stack: Python, AWS, CI,CD, ETL, Data Warehouse\n\nWe CANNOT sponsor or accept anyone on a PSW or Graduate Visa.\n• *This is data related software development, responsible for whole lifecycle and developed end point for API data pipeline.\n\nMust be able to write infrastructure code in terraform or AWS but can be taught.\n\nWe design and develop across a full stack of disciplines – Mechanical, Electronic, Electrical and Software Engineering – within the Digital team we develop software for IoT edge devices, cloud services, frontend UI, AI/ML models in computer vision, and Data Analysis.\n\nWe are seeking a talented and enthusiastic Data Engineer to join our talented AI/ML team. As a Data Engineer, you will have the opportunity to work closely with experienced professionals and gain valuable hands-on experience across the entire product development lifecycle.\n\nDevelop, deploy and validate high-performing machine learning models for computer vision applications, such as image classification, object detection, image segmentation, and video analysis.\n• Conduct thorough data analysis, feature engineering, and model selection to optimize model performance and accuracy.\n• data scientists, software engineers, product managers) to translate business requirements into technical specifications and deliver impactful solutions.\n• Develop and maintain robust and scalable machine learning pipelines using AWS services (e.g., Stay abreast of the latest advancements in computer vision and machine learning research and explore new opportunities to apply these innovations to our business.\n• Contribute to the development and improvement of our machine learning infrastructure and best practices.\n\nD. in Computer Science, Computer Engineering, or a related field with a strong focus on machine learning.\n• Proficiency in Python and experience with popular machine learning libraries (e.g., Strong experience with AWS services, including SageMaker, EC2, S3, Lambda, etc.\n• Experience with cloud-native development and deployment methodologies.\n• A strong passion for machine learning and a desire to continuously learn and grow.\n\nBonus Points:\n\n• Experience with distributed computing and large-scale data processing.",
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  "job_posted_at_timestamp": 1772064000,
  "job_posted_at_datetime_utc": "2026-02-26T00:00:00.000Z"
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