5 of 5 Anomaly Detection Jobs in the South East

maintainable for future hires * Provide a clear, pragmatic path from pilot to production You will also contribute to ongoing analytical work (risk modelling, anomaly detection), but the primary focus is on ML system structure and scalability . Technical Environment * High-volume ETL/ELT pipelines (multi-source ...

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/ ...

Puppeteer, or equivalents Strong knowledge of HTML parsing, DOM traversal, and data extraction techniques Experience handling rate limiting, CAPTCHA, IP rotation, and bot detection systems Comfort working with asynchronous and concurrent scraping architectures Experience operating scrapers at scale in cloud environments Strong debugging skills and the ability … with containerisation and orchestration tools such as Docker and Kubernetes Experience with distributed task systems and job queues Background in data quality monitoring and anomaly detection Experience working with search, advertising, or competitive intelligence datasets To apply for this role please submit your CV or contact Dillon ...

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 ...