6 of 6 Permanent Anomaly Detection Jobs in the East of England

schema design and data storage, transformation/ETL, model training and evaluation, and operational delivery. Develop statistical and machine learning models for entity resolution, anomaly detection, classification, clustering, and pattern-of-life analysis across multi-INT datasets. Build dashboards and lightweight applications that communicate key insights, assessments … schema design and data storage, transformation/ETL, model training and evaluation, and operational delivery. Develop statistical and machine learning models for entity resolution, anomaly detection, classification, clustering, and pattern-of-life analysis across multi-INT datasets. Build dashboards and lightweight applications that communicate key insights, assessments ...

security of AI (protecting the organisation's own AI systems and use of AI) and AI for security (using AI to strengthen protection, detection and response). This role will sit within Cyber Security and Compliance. Technical ownership of AI security tool selection and deployment Define requirements … with stakeholders. In protection, that might mean AI-assisted vulnerability prioritisation, secure code review, or posture analysis. In detection, it covers behavioural anomaly detection, alert triage and enrichment, and LLM-assisted threat hunting. In response, it includes AI copilots for investigation and incident summarisation, automated ...

proven ability to optimize model performance for accuracy and efficiency Excellent product intuition, keen eye for design and customer pain point awareness Experience developing anomaly detection and causal inference models At Apple, base pay is one part of our total compensation package and is determined within ...

optimisation initiatives by helping analyse resource utilisation, configuration efficiency, tagging hygiene, and commitment strategies. Advanced Analytics Support: Assist in producing usage trend analysis, anomaly detection, forecasting support, and cost modelling for customer accounts. Reporting & Dashboards: Prepare and maintain financial reports, dashboards, optimisation summaries, and KPI metrics ...

Things (IoT) security threats. The post forms part of SAZT-Wi-Fi (Spatial-Aware Zero-Trust Platform for Shadow Wi-Fi IoT Threat Detection), an Innovate UK-funded project developing a standalone, plug-and-play cybersecurity proof of concept for critical infrastructure. About Luton AI Luton … Computer Science, Cybersecurity, AI, Data Science, Electronic Engineering or a related discipline. Strong Python software development skills and knowledge of machine learning for anomaly detection or classification. An understanding of Wi-Fi/network telemetry and cybersecurity, with practical experience analysing wireless or network data. Experience developing ...

automation and proactive service management. Enable AI-assisted development, code review and testing through build-with and build-for principles. Advance AI-driven observability, anomaly detection, predictive incident management and AI Operations. Token Economics and Operational Governance Partner with EAI on token economics on shared EAI tooling ...