76 to 85 of 85 Anomaly Detection Jobs in England

dashboards and visualisations, communicating insights in accessible, non-technical language Modelling & Deployment Develop and deploy predictive and prescriptive models (e.g. predictive maintenance, defect forecasting, anomaly detection, capacity planning) Operationalise models using cloud and MLOps best practices, including monitoring, documentation, retraining, and explainability Collaboration & Change Work closely with ...

frameworks (e.g., NIST, ISO 27001, SOC2, supply-chain risk standards). Understanding of machine-learning/AI concepts (e.g., risk-scoring models, graph analytics, anomaly detection). Experience working with enterprise B2B customers, especially security teams, procurement/supply-chain teams. Experience with visualising large-scale graph ...

frameworks (e.g., NIST, ISO 27001, SOC2, supply-chain risk standards). Understanding of machine-learning/AI concepts (e.g., risk-scoring models, graph analytics, anomaly detection). Experience working with enterprise B2B customers, especially security teams, procurement/supply-chain teams. Experience with visualising large-scale graph ...

Monitoring Infrastructure : Build real-time systems that track agent behaviour across risk factors including agent-to-agent interactions, privilege escalation attempts, emergent capability detection, and behavioural drift from baseline parameters • Risk Assessment Engine : Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory … Integration : Implement monitoring for agent communication protocols (Model Context Protocol, Agent2Agent, Agent Connect Protocol) as they mature, ensuring authenticated and logged inter-agent communications • Anomaly Detection : Develop ML systems that identify when agents exhibit unexpected strategies, attempt unauthorized actions, or drift from intended behaviour—catching issues before ...

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 ...

sensor data, imagery, network data) used in investing Evaluate signal quality, bias, coverage, robustness, and failure modes in data and models Develop forecasting, optimisation, anomaly detection, or risk-aware models for real decision-making Analyse regime shifts, drift, and breakdowns in data and modelling assumptions Translate research ...

SaaS applications Oracle PaaS technologies Youll also have hands-on knowledge of Oracles AI and machine learning ecosystem, including: Oracle AI Services (Language, Vision, Anomaly Detection, Forecasting) Oracle Machine Learning (OML) and AI-driven integrations within OCI Alongside your technical strengths, you'll demonstrate: Proven leadership across ...

telemetry, and sensor data to address complex operational challenges in wireless technology. What You'll Do: Develop ML models for telecoms and hardware applications: anomaly detection, predictive maintenance, demand forecasting, network optimisation, signal processing Research novel approaches when existing methods fall short, read papers, run experiments, iterate ...

telemetry, and sensor data to address complex operational challenges in wireless technology. What You'll Do: Develop ML models for telecoms and hardware applications: anomaly detection, predictive maintenance, demand forecasting, network optimisation, signal processing Research novel approaches when existing methods fall short, read papers, run experiments, iterate ...

Kettering depending on the project stage. Projects that are ear marked for this assignment are a Data Ops/IIoT platform, and an anomaly detection solution. There is also a work stream to install a new verification process for a Quality Compliance clause, plus integration ...