9 of 9 Permanent Anomaly Detection Jobs in the North of England

quality and transformation integrity. Monitoring & Performance Optimization: Monitor data pipelines with tools like Prometheus and Datadog to ensure optimal performance and health. Proactively implement anomaly detection and optimize system performance and resource allocation. Collaborate with cross-functional teams to align DataOps practices with organizational goals. Apply agile More ❯

use across agile delivery teams. Promote best practices including Test-Driven Development (TDD) , Behaviour-Driven Development (BDD) , and AI/ML-based testing for anomaly detection and performance validation. Mentor and upskill test and engineering teams in modern, automation-first testing approaches. Collaborate across teams to ensure More ❯

ML- based products into production environments, with an understanding of both model evaluation and productionisation challenges. Expertise in statistics, hypothesis testing, sampling techniques, and anomaly detection, along with experience applying predictive modelling and regression analysis. Excellent communication and stakeholder management skills, with the ability to juggle multiple More ❯

Role Overview Join our evolving data team at The Printed Group. You'll build and deploy ML models for personalisation, recommendations, anomaly detection, and insights-all while following best practices in ML Ops and leveraging AI-powered tools to boost your productivity. Our Tech Stack Data Pipeline … format)/Embedded Reporting/Notifications Infrastructure: AWS cloud managed via Terraform. Responsibilities Develop & Deploy ML Models: Build models that power personalisation, recommendations, and anomaly detection. Implement ML Ops: Set up continuous integration, monitoring, and automated retraining for production models. Leverage AI Tools: Use AI-powered coding assistants (e.g. More ❯

information and assist management of the smart meter estate Define further reporting and analytic requirements to provide operational information to the wider business Manage Anomaly Detection Thresholds (ADT) with the DCC (Regulatory requirement); and o Manage and respond to any ADT threshold warnings or breaches. Act as More ❯

set up Understanding of analytics at item level and use/application of advanced analytics concepts such as AI ML clustering, mix optimisation or anomaly detection Understanding of latest technologies to improve SC visibility such as blockchain, RFID, DDMRP Able to independently analyse large datasets using established More ❯

neutralise threats, restore systems, and prevent recurrence. Produce post-incident review reports and provide actionable security improvement recommendations. Apply threat intelligence to improve detection capabilities and situational awareness. Support national-scale cyber incident response activities in a coaching or mentoring capacity. Collaborate with internal and client teams to … services and align with evolving threat landscapes. Develop automated response workflows for SOAR platforms targeting common attack vectors. Drive continuous improvement by refining detection use cases and enhancing SOC processes. Technical Skills & Experience: Hands-on experience with SIEM tools such as Splunk (Enterprise Security) and Microsoft Sentinel. Proficiency … Proven track record of investigating complex intrusions, including nation-state or targeted ransomware attacks. Solid knowledge of TCP/IP, network traffic analysis, and anomaly detection. Familiarity with a broad range of security tools and platforms. Experience in developing custom detection content and automation scripts. Non-Technical More ❯

neutralise threats, restore systems, and prevent recurrence. Produce post-incident review reports and provide actionable security improvement recommendations. Apply threat intelligence to improve detection capabilities and situational awareness. Support national-scale cyber incident response activities in a coaching or mentoring capacity. Collaborate with internal and client teams to … services and align with evolving threat landscapes. Develop automated response workflows for SOAR platforms targeting common attack vectors. Drive continuous improvement by refining detection use cases and enhancing SOC processes. Technical Skills & Experience: Hands-on experience with SIEM tools such as Splunk (Enterprise Security) and Microsoft Sentinel. Proficiency … Proven track record of investigating complex intrusions, including nation-state or targeted ransomware attacks. Solid knowledge of TCP/IP, network traffic analysis, and anomaly detection. Familiarity with a broad range of security tools and platforms. Experience in developing custom detection content and automation scripts. Non-Technical More ❯

neutralise threats, restore systems, and prevent recurrence. Produce post-incident review reports and provide actionable security improvement recommendations. Apply threat intelligence to improve detection capabilities and situational awareness. Support national-scale cyber incident response activities in a coaching or mentoring capacity. Collaborate with internal and client teams to … services and align with evolving threat landscapes. Develop automated response workflows for SOAR platforms targeting common attack vectors. Drive continuous improvement by refining detection use cases and enhancing SOC processes. Technical Skills & Experience: Hands-on experience with SIEM tools such as Splunk (Enterprise Security) and Microsoft Sentinel. Proficiency … Proven track record of investigating complex intrusions, including nation-state or targeted ransomware attacks. Solid knowledge of TCP/IP, network traffic analysis, and anomaly detection. Familiarity with a broad range of security tools and platforms. Experience in developing custom detection content and automation scripts. Non-Technical More ❯