19 of 19 Anomaly Detection Jobs in the UK excluding London

requirements for critical assets. Analyse and extend Dynatrace coverage across complex applications. Configure, optimise, and automate monitoring within the Dynatrace toolset. Provide AI-driven insights (via Davis AI) for anomaly detection, root cause analysis, and proactive recommendations. Support operational resilience by embedding observability standards and best practices. Engage in workshops with third-party suppliers to review and … improve observability standards. TECH STACK/REQUIREMENTS Strong expertise in Dynatrace (SaaS & On-Premises) including: Application Performance Monitoring Anomaly Detection Profiles Alerting Rules & Profiles Synthetic & Log Monitoring Real User Monitoring (RUM) DQL & Grail for advanced data analytics API integrations with complex systems Experience working in resilience/observability engineering. Strong communication skills and ability to work in More ❯

Defender, Microsoft Sentinel, and Google Chronicle, with a strong focus on playbook development, analytical rule creation, and threat modelling. You will be instrumental in building and optimizing our detection and response strategies. Job Duties SIEM Engineering & Management Deploy, configure, and maintain … SIEM platforms (Splunk, QRadar, Sentinel, Defender, Chronicle). Onboard and normalize log sources across cloud and on-prem environments. Develop and optimize analytical rules for threat detection, anomaly detection, and behavioural analysis. Skills Must be able to obtain SC Clearance or already hold SC clearance. SIEM Expertise: Hands-on experience with at least two of More ❯

monitoring and reporting. Technology & Automation · Use Python, SQL, and Databricks to analyse in house data. · Explore opportunities to apply AL and ML models to improve forecasting, scenario tests, and anomaly detection. Requirements · Proven experience in Python, SQL, and Databricks · Experience in building dashboards (Databricks, PowerBI, Tableau, or similar) · Experience in the financial industry · Strong analytical and problem-solving skills More ❯

monitoring and reporting. Technology & Automation · Use Python, SQL, and Databricks to analyse in house data. · Explore opportunities to apply AL and ML models to improve forecasting, scenario tests, and anomaly detection. Requirements · Proven experience in Python, SQL, and Databricks · Experience in building dashboards (Databricks, PowerBI, Tableau, or similar) · Experience in the financial industry · Strong analytical and problem-solving skills More ❯

monitoring and reporting. Technology & Automation · Use Python, SQL, and Databricks to analyse in house data. · Explore opportunities to apply AL and ML models to improve forecasting, scenario tests, and anomaly detection. Requirements · Proven experience in Python, SQL, and Databricks · Experience in building dashboards (Databricks, PowerBI, Tableau, or similar) · Experience in the financial industry · Strong analytical and problem-solving skills More ❯

training using behavioural insights generation - Operational-level digital twins of NHS hospital environments. - Safety and behavioural detection at level crossings. - AI for safety of autonomous systems. - AI anomaly detection in operational technology. Synoptix also recognizes the value of the successful candidate maintaining clinical proficiency Key Skills Required: A nationally registered clinician (GMC, NMC, HCPC) with More ❯

training using behavioural insights generation - Operational-level digital twins of NHS hospital environments. - Safety and behavioural detection at level crossings. - AI for safety of autonomous systems. - AI anomaly detection in operational technology. Synoptix also recognizes the value of the successful candidate maintaining clinical proficiency Key Skills Required: A nationally registered clinician (GMC, NMC, HCPC) with More ❯

training using behavioural insights generation - Operational-level digital twins of NHS hospital environments. - Safety and behavioural detection at level crossings. - AI for safety of autonomous systems. - AI anomaly detection in operational technology. Synoptix also recognizes the value of the successful candidate maintaining clinical proficiency Key Skills Required: A nationally registered clinician (GMC, NMC, HCPC) with More ❯

analysis, or EA, with 5+ years in finance systems. Proven expertise with finance operating models and KPIs (EBITDA, NPV, DSO). Experience with AI/ML in finance (e.g., anomaly detection, predictive AR). Skills & Tools Deep knowledge of SaaS, PaaS, microservices, data analytics, and EA frameworks. Familiarity with IT governance, DevOps, agile methodologies, and financial modeling. More ❯

environments. You will work closely with experts in quantum sensing to develop quantum magnetometry technology that will solve pressing challenges in aeronautical positioning and navigation, geophysical surveying, and magnetic anomaly detection. A key focus of the role will be developing and implementing methods for removing magnetic and/or vibrational noise induced by the platform on which the quantum … a closely related discipline; Experience performing data analysis, algorithmic development, and/or digital signal processing in one or more of the following areas: magnetic and/or gravitational anomaly detection; airborne magnetic and/or gravitational surveying; magnetic navigation; magnetic signature and/or platform motional characterisation and management; magnetic and/or vibrational signal denoising More ❯

Hosting, Google IAM, Secret Manager Azure: Azure OpenAI, Azure App Services, Azure AD authentication Cybersecurity: CSP headers, XSS/CSRF protection, OAuth2 flows, JWT encryption Front-end logging for anomaly detection and audit trails Familiarity with OWASP guidelines and secure SDLC practices DevOps: GitHub Actions, Docker, Terraform, security scans in CI/CD (e.g., Snyk, Dependabot or More ❯

and AI-native querying (e.g., Text-to-SQL). Productize the PLuG SDK as a Data Platform: Leverage in-app instrumentation (session replays, logs, engagement events) to power observability, anomaly detection, and customer experience analytics. Build AI-Enabled Interactions: Drive the development of agentic features including natural language queries, AI-generated dashboards, and real-time recommendations—bridging More ❯

and AI-native querying (e.g., Text-to-SQL). Productize the PLuG SDK as a Data Platform: Leverage in-app instrumentation (session replays, logs, engagement events) to power observability, anomaly detection, and customer experience analytics. Build AI-Enabled Interactions: Drive the development of agentic features including natural language queries, AI-generated dashboards, and real-time recommendations—bridging More ❯

and AI-native querying (e.g., Text-to-SQL). Productize the PLuG SDK as a Data Platform: Leverage in-app instrumentation (session replays, logs, engagement events) to power observability, anomaly detection, and customer experience analytics. Build AI-Enabled Interactions: Drive the development of agentic features including natural language queries, AI-generated dashboards, and real-time recommendations—bridging More ❯

Analyze high-resolution battery data from field units and test environments Build pipelines to process, visualize, and extract trends that inform algorithmic performance Apply machine learning techniques to enhance anomaly detection and predictive maintenance Cross-functional Collaboration Interface with software, hardware, and compliance teams to drive integrated product development Participate in peer reviews and contribute to process More ❯

applications - ideally GCP, Azure or AWS You have external or internal consulting experience You have knowledge of host hardening, auditing, logging and monitoring, network security, SEIM deployments, security analytics, anomaly detections, PKI You have proven implementation of cloud security models, particularly identity, network, and encryption You have demonstrated understanding of Microsoft security technologies and strategy You have program management More ❯

building the software that makes their outputs usable for downstream systems and training our Delivery Team for field deployment. The role spans multi-domain sensor fusion, AI-assisted analysis, anomaly detection, augmented reality, autonomous sentry operation, and evidence collection. You ll work closely with colleagues across software, hardware, data science, and infrastructure to bring innovative, high-performance More ❯

building the software that makes their outputs usable for downstream systems and training our Delivery Team for field deployment. The role spans multi-domain sensor fusion, AI-assisted analysis, anomaly detection, augmented reality, autonomous sentry operation, and evidence collection. You’ll work closely with colleagues across software, hardware, data science, and infrastructure to bring innovative, high-performance More ❯

party software suppliers to review observability standards.What You'll Need:* The ability to demonstrate your extensive experience in designing and configuring the following within Dynatrace:o Application performance monitoringo Anomaly detection profileso Alerting rules and alert profileso Synthetic monitoringo Log monitoringo Real User Monitoring (RUM) to capture and analyse end-user experience across web and mobile applications.o More ❯