9 of 9 Permanent Feature Extraction Jobs in the UK

work to uncover opportunities for customers to leverage their data.Analysing and modelling customer data, performing statistical analyses, designing cleansing, transformation and normalisation processes, performing feature extraction/reduction, and designing solutions and opportunities.Performing, visualising, and presenting data analyses and analytics to customers and project leads, including on-site.Engineering … platforms, databases, and data pipelines as part of broader delivery solutions.Training (inc. transfer learning and feature extraction) and deploying ML/AI models for prediction, detection, classification, etc.Writing or supporting software solutions that implement data science models, tools, and techniques.About the role:As a Senior Data Scientist ...

ideal candidate will have a customer focused mindset to deliver exceptional outcomes for our clients.Responsibilities:Design and develop GeoAI solutions — including object detection, feature extraction, change detection, and predictive spatial modelling — using both Esri tools and open-source AI frameworks.Write production-grade Python toolboxes, automation scripts, and spatial … Python skills: ArcPy, ArcGIS API for Python, geopandas, shapely, rasterio, GDAL.Practical experience applying AI/ML to geospatial problems (e.g. object detection, image classification, feature extraction, or spatial prediction).Working knowledge of at least one deep learning framework (PyTorch or TensorFlow).Experience with ArcGIS Pro, ArcGIS Enterprise ...

also welcomed. What you'll do Develop and maintain the models used by our key underwriting programs, Explore and evaluate data using advanced feature generation and categorisation techniques, in order to stay at the forefront of innovation. Consult on complex statistical test design, to efficiently learn our way into … cross-functionally to support key business initiatives and drive sustainable growth. What we're looking for A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation. Familiarity with Open Banking or Credit Bureau data. Experience in producing reliable and maintainable code ...

teams to interpret image-derived biomarkers and biological findings.Contribute to evaluation, validation, and benchmarking of image analysis algorithms and workflows.Perform tissue segmentation, cell phenotyping, feature extraction, and spatial analysis using state-of-the-art computational approaches.Stay current with advances in computational pathology, AI/ML, and spatial biology ...

bioimaging and computer vision.Demonstrated experience developing and validating image analysis algorithms for biological, biomedical, or pharmaceutical research applications, with practical experience in image segmentation, feature extraction, phenotypic profiling, object classification, or representation learning applied to high-content or high-throughput imaging data.Practical expertise in designing benchmarking and evaluation ...

science capabilities into production environmentsCollaborating with industry experts to understand and solve complex problems using data and insightsImplementing and optimizing algorithms for data processing, feature extraction, and model trainingYour ProfileDegree, Master's or PhD in a STEM discipline with additional consideration given to candidates with background in Bioinformatics ...

models and reproducible workflows for whole-slide, multiplexed, and high-plex tissue imagingUse tools such as HALO and HALO AI for segmentation, classification, feature extraction, spatial analysis, and biomarker scoringTranslate image-derived outputs into clear biological insights that inform project decisionsHigh-Plex Imaging and RareCyte Orion AnalysisDevelop ...

engineering problems. Essential experience Experience implementing hybrid algorithms that combine classical and ML-based approaches. Applied experience in one or more of the following: feature extraction, data fusion, target tracking, image segmentation, image matching, sensor calibration, state estimation, anomaly detection, integrity monitoring, system modelling, or synthetic data generation. ...

Data Hub technology stack and data schemas, staying current with emerging technologies, models, and research.Contribute to broader initiatives related to data integration, feature design, and machine learning.Design and run experiments, iterate based on results, and document and share learnings with the team.Use pre-trained ML models, and train … workflows (traditional ML, LLMs, embeddings, ontologies, knowledge graphs).Comfortable working with relational, NoSQL, and graph databases.Strong data-processing skills, including cleaning, filtering, and feature extraction.Clear communicator with strong collaboration and presentation skills.Why work with us Competitive salary commensurate with experienceHighly attractive bonus schemeHybrid model and flexible working with ...