13 of 13 Anomaly Detection Jobs in the South East

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 ...

huge impact to the security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements ...

operational efficiency. Design and implement observability platforms to effectively monitor system health, performance, and reliability. Develop strategies for AI-driven alerting and proactive anomaly detection to reduce Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR). Establish and enforce SRE best practices, including Service ...

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 ...

actionable recommendations that improve customer journeys. Advancing AI-native analytics : Leverage Gen AI tools to automate recurring insight generation, support AI-powered summarization and anomaly detection, and identify opportunities to replace manual workflows with intelligent automation — helping the team move faster and deliver more scalable, proactive insights. ...

projects and human resources. Communicate the value of Industrial AI, automation and intelligent workflows in improving finance and operational decision‐making, productivity, forecasting and anomaly detection. Work closely with Sales, Product Management, Presales and Consulting teams to progress opportunities and deliver value led customer engagements across the UK region. ...

points, digital adoption challenges, and operational inefficiencies. Provide clear, actionable recommendations. Advance AI-native analytics Use Gen AI tools for automated insight generation, summarisation, anomaly detection, and workflow optimisation. Support experimentation & continuous improvement Analyse A/B tests and digital experience performance, quantifying customer and business impact. ...

actionable recommendations that improve customer journeys. Advancing AI-native analytics : Leverage Gen AI tools to automate recurring insight generation, support AI-powered summarization and anomaly detection, and identify opportunities to replace manual workflows with intelligent automation — helping the team move faster and deliver more scalable, proactive insights. ...

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 ...

Heads of Infrastructure. A deep, practical understanding of modern IT operations, including: Observability and monitoring, including event, metric and log correlation. AIOps: noise reduction, anomaly detection and predictive operations. Discovery, service mapping and configuration management (CMDB). Incident, problem and change practices, with ITIL 4 or equivalent. ...