151 to 170 of 170 Anomaly Detection Jobs in the UK

reliable systems — but wants to use AI to make them more reliable. If you're already experimenting with AI for incident response, anomaly detection, or toil reduction, we want to talk. This isn't a "keep the lights on" SRE job. We're building the infrastructure that ...

authentication logic including MFA enrolment, verification, and backend probe flows. Build and deploy computer vision models for medical imaging (e.g., cancer detection, anomaly classification). Integrate ML models into clinical applications using Python, PyTorch, and more. Collaborate with backend engineers to validate API behaviour, session handling … Cypress, automated testing, and E2E test design . Proficiency in Python , PyTorch , OpenCV , and ML model development Experience with medical imaging , segmentation, classification, or anomaly detection. Ability to debug backend API behaviour using tools like cy.request, logs, and probe flows. Understanding of secure coding practices and healthcare data workflows. ...

platform adoption across Kingfisher banners; Set up and operate platform governance to safeguard payment flows, ensure compliance, and embed robust fraud controls and detection capabilities; Line manage multiple Product Owners; Develop product practices within product teams; Translate enterprise strategy into clear, phased platform roadmaps; Partner with Architecture … Data Science teams to respond to emerging fraud vectors and regulatory requirements; Establish platform guardrails and adoption criteria; Ensure platform capabilities support continuous monitoring, anomaly detection, chargeback reduction, and loss prevention; Provide structured updates to senior stakeholders and governance forums; Monitor platform performance, risks, costs, and scalability ...

seeking a Senior Data QA Engineer to own the accuracy and reliability of its growing property data platform. You’ll design data quality checks, anomaly detection, and monitoring across data pipelines, and own production scraping infrastructure with Playwright and anti-bot tooling. You will work with Python ...

store customer behaviour LLM-powered tools that support customers and store teams What you’ll do Build, train, and deploy models for forecasting, recommendations, anomaly detection, and more. Design and ship LLM-powered features — assistants, document and image processing. Take models all the way to production: serving ...

accessibility, device compatibility, connectivity and reducing applicant drop-off. Identify and champion appropriate uses of AI and ML, including transcription, summarisation, scoring support and anomaly detection, while ensuring human accountability for important decisions. Ensure the capability works consistently across two products, creating a coherent experience for applicants ...

policy, you will tackle maritime and security problems using time series and image/video data, building and evaluating ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. You will collaborate with developers to integrate outputs into user-facing features and enable ...

pollution before they happen, protecting communities and reducing costs. We are the market leader in this space. At its core, StormHarvester’s advanced anomaly detection system analyses data from thousands of sensors, turning it into precise, actionable insights that drive smarter decisions. About the role ...

makes multi-jurisdiction filings feel simple Design and implement payment flow visualizations that surface issues instantly Build AI-powered tools for transaction analysis and anomaly detection Create the integration setup experience for Shopify and other e-commerce platforms Develop the self-service onboarding flow that gets merchants ...

cases in weeks, not quarters. AI-driven forecasting and scenario modelling, automated reporting and commentary, close and reconciliation workflows, and collections, risk and anomaly detection. Build and own the technical stack: select the minimum viable, maximum scalable architecture. Make strong calls on ERP vs lightweight tooling, build ...

cases in weeks, not quarters. AI-driven forecasting and scenario modelling, automated reporting and commentary, close and reconciliation workflows, and collections, risk and anomaly detection. Build and own the technical stack: select the minimum viable, maximum scalable architecture. Make strong calls on ERP vs lightweight tooling, build ...

cases in weeks, not quarters — AI-driven forecasting and scenario modelling, automated reporting and commentary, close and reconciliation workflows, and collections, risk, and anomaly detection. Build and own the technical stack. Select the minimum viable, maximum scalable architecture. Make strong calls on ERP vs lightweight tooling, build ...

Fortinet, a cybersecurity pioneer, is seeking a Software Engineer (Cybersecurity Analytics & Enforcement) in London. Office based at Moorgate, 4 days a week, to contribute to FortiDLP policy engine and data loss protection initiatives. You will ...

AIOps roadmap, translating complex operational needs into concrete product requirements and backlog items. You will lead high-impact capabilities like noise reduction, event management, anomaly detection, and proactive remediation, partnering across IT Ops, SRE, and security to scale adoption. You will define success metrics for alert quality ...

missions and production test campaigns Developing automation for routine and time‐critical flight operations Implementing automated procedures within the Mission Control System Improving monitoring, anomaly detection, and operational insight tools Building automation for functional testing and production workflows Developing tools for automated analysis of integration and test ...

missions and production test campaigns Developing automation for routine and time-critical flight operations Implementing automated procedures within the Mission Control System Improving monitoring, anomaly detection, and operational insight tools Building automation for functional testing and production workflows Developing tools for automated analysis of integration and test ...

Vetting (DV) UK security clearance. Preferred qualifications: Certifications in Security (e.g., GSEC, CISSP, CISM, OSCP). Experience with Kubernetes threat detection and anomaly detection. Experience with service mesh security concepts (e.g., Istio, Linkerd) and workload identity. Experience in detection engineering, logging pipeline development, or SIEM … Kubernetes-based environments. You will be at the intersection of security and engineering, developing scalable tooling, automating security controls, and enabling robust detection and response capabilities across our cloud infrastructure. In this role, you will require deep technical expertise in cloud environments, Kubernetes security, and platform automation. ...

will act as first responder to alerts, classify severity, and execute runbook procedures to restore service swiftly. The role emphasizes incident management, proactive anomaly detection, and tight collaboration with cross-functional teams during peak events. You will document triage notes, update Jira, and help tune thresholds ...

active project sites Installation, commissioning, testing and operation of electrical systems BS7671 18th Edition, Machinery Directive, and Low Voltage Directive Hands‐on fault finding, anomaly detection, and diagnosis PLC/HMI/SCADA commissioning and loop checking Industrial communications protocols (OPC-UA, CANOpen, Modbus) Earthing and lightning ...

Impact In this role, you’ll: Build and ship production‐grade mobile security capabilities that close gaps in Ditto Protect's runtime detection and response coverage. Develop in‐house security shields on top of a licensed RASP core, integrating and extending third‐party and native SDKs through callback … based risk scoring, or close collaboration with data/ML teams, for use cases such as impossible travel, IP reputation, mule‐account and anomaly detection. Real‐time clientserver scoring — experience defining the signal/risk‐score contract between on‐device and server layers and orchestrating both scores, for example ...