Permanent Feature Extraction Jobs in the UK

10 of 10 Permanent Feature Extraction Jobs in the UK

Senior Machine Learning Engineer

Cambridge, England, United Kingdom
IC Resources
production software. You will work extensively with Python and AI frameworks such as PyTorch and TensorFlow to develop and train models for image segmentation, feature extraction, registration, and lesion identification within cloud environments. Your role will also involve supporting clinical studies and regulatory submissions, preparing technical publications, and More ❯
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Senior Machine Learning Engineer

cambridge, east anglia, United Kingdom
IC Resources
production software. You will work extensively with Python and AI frameworks such as PyTorch and TensorFlow to develop and train models for image segmentation, feature extraction, registration, and lesion identification within cloud environments. Your role will also involve supporting clinical studies and regulatory submissions, preparing technical publications, and More ❯
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Senior Machine Learning Engineer

Cambridge, south west england, United Kingdom
IC Resources
production software. You will work extensively with Python and AI frameworks such as PyTorch and TensorFlow to develop and train models for image segmentation, feature extraction, registration, and lesion identification within cloud environments. Your role will also involve supporting clinical studies and regulatory submissions, preparing technical publications, and More ❯
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Postdoctoral Scientist, Artificial Intelligence for Medical Imaging

Cambridge, Cambridgeshire, United Kingdom
Hybrid / WFH Options
Johnson & Johnson
vision techniques, including object detection (YOLO, SSD, Faster R-CNN), image segmentation (U-Net, Mask R-CNN), image classification (VGG, ResNet, Inception, EfficientNet), and feature extraction (SIFT, SURF, ORB). Experience with various machine learning techniques (including fully supervised, unsupervised, self-supervised, and weakly supervised learning) and specific More ❯
Employment Type: Permanent
Salary: GBP Annual
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Artificial Intelligence Data Engineer - Energy Systems

stafford, midlands, united kingdom
GE Vernova
data storage technologies such as Data Lakes, NoSQL, and relational databases. Strong experience in building scalable and reliable data pipelines for data transformation and feature extraction. Proficiency in scientific programming languages like Python, Scala, Java, or SQL. Experience with ETL (Extract, Transform, Load) processes and the CRUD (Create, Read More ❯
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Machine Learning Engineer

Birmingham, England, United Kingdom
In Technology Group
for processing and interpreting 3D point cloud data (e.g., segmentation, classification, object detection). Build AI tools to automate BIM modelling tasks, such as feature extraction, geometry reconstruction, and data labeling. Collaborate with designers and modellers to integrate AI solutions into Autodesk Revit, CAD, and game engine pipelines. More ❯
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Power Trader

London, United Kingdom
Fuse Energy
Utilise Python programming language for data processing, analysis, and modelling in the Power and Gas market. Conduct time series analysis, including data pre-processing, feature extraction, web scraping, model selection, and evaluation. Visualise analysis results using tools like Metabase, creating clear and informative dashboards and reports. Develop Position More ❯
Employment Type: Permanent
Salary: GBP Annual
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Technical Lead

Cambridge, England, United Kingdom
Barrington James
including AI/ML, embedded firmware, hardware, and clinical research to ensure cohesive system integration. Define and enforce best practices around data quality, filtering, feature extraction, and signal classification in both R&D and production environments. Support clinical trials by advising on signal fidelity, data labelling, and performance More ❯
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Technical Lead

cambridge, east anglia, United Kingdom
Barrington James
including AI/ML, embedded firmware, hardware, and clinical research to ensure cohesive system integration. Define and enforce best practices around data quality, filtering, feature extraction, and signal classification in both R&D and production environments. Support clinical trials by advising on signal fidelity, data labelling, and performance More ❯
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Technical Lead

Cambridge, south west england, United Kingdom
Barrington James
including AI/ML, embedded firmware, hardware, and clinical research to ensure cohesive system integration. Define and enforce best practices around data quality, filtering, feature extraction, and signal classification in both R&D and production environments. Support clinical trials by advising on signal fidelity, data labelling, and performance More ❯
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