9 of 9 Anomaly Detection Jobs in the South East

Scientist (Machine Learning) will apply statistical and machine learning techniques to real commercial datasets, producing outputs such as impact analysis, ROI modelling, forecasting, and anomaly detection. The emphasis is on practical model delivery, documentation, and handover, rather than long-term operational ownership. As our new Data Scientist (Machine Learning … will be responsible for: Build predictive, forecasting and anomaly-detection models Perform feature engineering & validation using Python/PySpark Work in Fabric Notebooks, Delta Lakehouse, and AutoML Embed models into production pipelines with our Data Engineering team Document and hand over deliverables If you are an experienced ...

exciting opportunity for an RF-focused Data Scientist/Research Engineer to join a stealth-mode start-up developing novel UAV/detection systems. This role offers the chance to work at the cutting edge of RF hardware, software-defined radio, and intelligent signal processing helping shape … wireless protocols and physical-layer signal structures (e.g. Wi-Fi, LTE, LoRa) Ability to design machine learning or statistical models for signal classification, anomaly detection or emitter identification MUST be eligible for SC Clearance due to the nature of the work Responsibilities for RF Data Scientist/ ...

implement custom machine learning models for signal processing, sensor fusion, and system optimisation Design models for applications such as noise suppression, drift compensation, anomaly detection, and adaptive calibration Build and maintain robust data pipelines to process high-dimensional experimental and time-series datasets Train, validate, and optimise ...

Modeling Consultant to design and implement comprehensive threat models for 90-100 diverse applications. The consultant will evaluate application-generated logs, develop threat detection strategies, and report findings … Information Security team. This role requires deep expertise in Microsoft Azure security tools, log analytics, and automation to enhance the customer’s application anomaly detection capabilities. Key Responsibilities: Develop detailed threat models tailored for a large portfolio of applications with varying threat categories. Analyze logs generated ...

Embed Zero Trust and least privilege principles across enterprise systems and privileged roles. Develop and automate identity governance processes, leveraging AI/ML for anomaly detection and remediation. Oversee Conditional Access, risk-based authentication, and device/state-based access controls. Integrate IAM with ...

Arbor, Radwhere, Riverbed, A10, ExtraHop Familiarity with security audits, RFP/RFI responses Exposure to security analytics tools and techniques, such as log analysis, anomaly detection, or traffic monitoring, with an interest in developing stronger skills. Understanding of full packet capture and analysis concepts, or hands ...

Have: IBM Integration ecosystem exposure (TechXchange, User Groups). Migration experience (legacy/MuleSoft webMethods). AI in integration (GenAI co-pilots, agent frameworks, anomaly detection). Dashboarding/observability for APIs/B2B/IS. Ways of Working: Hybrid/remote, with on-site workshops across ...

Have: IBM Integration ecosystem exposure (TechXchange, User Groups). Migration experience (Legacy/MuleSoft webMethods). AI in integration (GenAI co-pilots, agent frameworks, anomaly detection). Dashboarding/observability for APIs/B2B/IS. Ways of Working: Hybrid/remote, with on-site workshops across ...

Have: IBM Integration ecosystem exposure (TechXchange, User Groups). Migration experience (legacy/MuleSoft webMethods). AI in integration (GenAI co-pilots, agent frameworks, anomaly detection). Dashboarding/observability for APIs/B2B/IS. Ways of Working: Hybrid/remote, with on-site workshops across ...