6 of 6 Anomaly Detection Jobs in the Thames Valley

identify inefficiencies, yield losses, contamination risks and equipment deviations. • Improve chemometric models, including calibration development, validation and ongoing performance. • Explore time-series modelling, anomaly detection and advanced process optimisation techniques. • Help automate model development, maintenance and deployment workflows. • Work directly with customers to understand operational challenges, data … manufacturing or process industries. • Knowledge of chemometrics, including PLS, PCA, spectral preprocessing or calibration development. • Experience with spectroscopy or analytical instrumentation. • Time-series analytics, anomaly detection or industrial process optimisation. • Familiarity with Azure-based data and analytics environments. The Person We're Looking For We value potential ...

Experience in insurance or other financial services. Experience with B2B, enterprise software, or complex customer implementations. Interest or experience in fraud detection, anomaly detection or other risk-related domains. Familiarity with agile product development methods and tools such as Jira, Confluence or equivalent. Qualifications ...

bridging operational systems and the analytical layer until IT takes full ownership. Develop and implement AI/ML-enabled data features — including data enrichment, anomaly detection, and predictive pipelines. Integrate AI APIs and LLM-based tools into data workflows to accelerate analytics at scale. Work closely with ...

dependencies and decisions to Project Managers, customers and relevant stakeholders. AI and Automation: Use approved AI tools and automation techniques to support data profiling, anomaly detection, mapping recommendations, transformation activities and quality checks. Validate outputs through appropriate human review and comply with organisational data security and governance ...

manufacturing or process industries. • Knowledge of chemometrics, including PLS, PCA, spectral preprocessing or calibration development. • Experience with spectroscopy or analytical instrumentation. • Time-series analytics, anomaly detection or industrial process optimisation. • Familiarity with Azure-based data and analytics environments. The Person We're Looking For We value potential ...

working with customers or external technical stakeholders A relevant STEM degree or equivalent technical experience Knowledge of lithium-ion degradation, battery ageing, state estimation, anomaly detection, remaining useful life prediction or battery safety Experience with battery fleets, telematics, cloud analytics, predictive maintenance, condition monitoring or field performance ...