2 of 2 Anomaly Detection Jobs in Tyne and Wear

business domains — defining, validating, and owning the definitions, metrics and models that drive decisions.Apply machine learning to real business problems: predictive modelling, classification, segmentation, anomaly detection, and forecasting.Use LLMs and generative AI to build analytical tools, AI-assisted insight products, and intelligent automation — including prompt engineering ...

contribute to a forward-thinking, collaborative environment.The Data Scientist will be responsible for building and deploying machine learning models to support personalisation, recommendations, anomaly detection, and data insights. The role involves working within modern ML Ops practices and leveraging AI-powered development tools to increase efficiency … scale.Key ResponsibilitiesDevelop and deploy machine learning models for various use cases including personalisation and anomaly detectionImplement ML Ops practices including monitoring, continuous integration, and automated retrainingUse AI-assisted development tools such as Cursor and Copilot to enhance productivityCollaborate with engineers, DevOps, and leadership to ensure robust data pipelines ...