8 of 8 MLOps Jobs in Cambridgeshire

strong focus on medical imaging Proven track record using deep learning frameworks (PyTorch/TensorFlow) Solid Python skills and familiarity with cloud or MLOps tools (Docker, Kubernetes, MLFlow) Understanding of data pipelines and image analysis techniques (segmentation, registration, feature extraction) Benefits Share options and private healthcare Flexible hybrid working ...

Learning Neural net architecture design, backpropagation walkthroughs Natural Language Processing (NLP) Text classification, summarization, sentiment analysis Computer Vision Image labeling, object detection, image captioning MLOps/Deployment Model lifecycle support, pipeline design, monitoring/rollback flows Statistical Modeling Hypothesis testing, regression diagnostics, p-value calculation Data Engineering Data pipeline logic ...

Learning Neural net architecture design, backpropagation walkthroughs Natural Language Processing (NLP) Text classification, summarization, sentiment analysis Computer Vision Image labeling, object detection, image captioning MLOps/Deployment Model lifecycle support, pipeline design, monitoring/rollback flows Statistical Modeling Hypothesis testing, regression diagnostics, p-value calculation Data Engineering Data pipeline logic ...

information quickly Focus on business value rather than building tech for the sake of it Bonus points for AI or ML production experience including MLOps and model deployment Go, Docker, Kubernetes, infra as code Experience with healthcare standards such as FHIR, HL7 and DICOM What you will ...

information quickly Focus on business value rather than building tech for the sake of it Bonus points for AI or ML production experience including MLOps and model deployment Go, Docker, Kubernetes, infra as code Experience with healthcare standards such as FHIR, HL7 and DICOM What you will ...

focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You'll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models … learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring. Design, build, and maintain highly reliable and well-tested data and ML pipelines ...

focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You'll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models … learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring. Design, build, and maintain highly reliable and well-tested data and ML pipelines ...

move from prototype to production quickly, safely, and at scale. You’ll be part of a growing ML Engineering team, contributing to a modern MLOps platform and delivering robust ML services in collaboration with product, engineering, and data science colleagues. This is a hands-on role that’s ideal … Kubernetes), or workflow engines (e.g. Argo, Airflow) Familiarity with real-time model deployment, streaming data, or event-driven systems (e.g. Kafka, Flink) Interest in MLOps, model governance, and responsible AI practices Understanding of basic model evaluation, drift detection, and monitoring techniques Why Join Us? You’ll work on meaningful problems ...