8 of 8 Feature Extraction Jobs in the UK

data from time series microscopy. Likely TensorFlow, Keras, PyLattice or similar. Ideally use of machine learning, neural networks, particularly CNNs given the data involved, feature extraction and tracking. Familiarity with computer vision, cellular imaging, volumetric tiling, voxel imaging, 3D graphics (rendering), spherical harmonics (3D, or 4D hyperspherical), light ...

optimize machine learning models for predictive analytics, NLP, computer vision, or recommendation systems. Data Pipeline Engineering: Build and maintain robust data pipelines for feature extraction, transformation, and model training. Deployment & Monitoring: Implement models into production environments using MLOps best practices (CI/CD, containerization, monitoring). Performance Optimization … agile teams. Preferred Qualifications Experience with transformer-based models (e.g., BERT, GPT) and generative AI. Knowledge of distributed training and GPU acceleration. Familiarity with feature stores and real-time inference systems. Benefits Competitive salary and bonus structure Flexible working arrangements (hybrid model) Professional development and training budget Health ...

optimize machine learning models for predictive analytics, NLP, computer vision, or recommendation systems. Data Pipeline Engineering: Build and maintain robust data pipelines for feature extraction, transformation, and model training. Deployment & Monitoring: Implement models into production environments using MLOps best practices (CI/CD, containerization, monitoring). Performance Optimization … agile teams. Preferred Qualifications Experience with transformer-based models (e.g., BERT, GPT) and generative AI. Knowledge of distributed training and GPU acceleration. Familiarity with feature stores and real-time inference systems. Benefits Competitive salary and bonus structure Flexible working arrangements (hybrid model) Professional development and training budget Health ...

Support troubleshooting, optimisation, and ongoing maintenance of AI-enabled systems. Lightweight AI/ML Integration Prototype and implement applied ML functions (e.g., classification, prediction, feature extraction) where needed. Integrate models developed by global AI/ML teams into production-ready engineering tools. Perform data preparation, analysis, and exploratory ...

learning models for real-world applications Develop intelligent workflows incorporating feedback loops and agent-based approaches Apply ML techniques such as classification, regression, and feature extraction to complex data sources Implement semantic search, analytics, and root cause analysis functionality Optimise model performance and ensure robustness and scalability Collaborate ...

learning models for real-world applications Develop intelligent workflows incorporating feedback loops and agent-based approaches Apply ML techniques such as classification, regression, and feature extraction to complex data sources Implement semantic search, analytics, and root cause analysis functionality Optimise model performance and ensure robustness and scalability Collaborate ...

high-quality model training Training, fine-tuning, and evaluating AI models including agentic workflows and feedback loops Applying ML/DL techniques (classification, regression, feature extraction) to solve complex wireless testing problems Building semantic search and root-cause analysis capabilities for mobile communication logs Benchmarking and optimising ...

high-quality model training Training, fine-tuning, and evaluating AI models including agentic workflows and feedback loops Applying ML/DL techniques (classification, regression, feature extraction) to solve complex wireless testing problems Building semantic search and root-cause analysis capabilities for mobile communication logs Benchmarking and optimising ...