26 to 36 of 36 Anomaly Detection Jobs in the UK

and efficiency. Leverage AWS technologies (S3, Athena, QuickSight) to analyse data from millions of field devices, delivering insights to inform decision-making and drive operational efficiency. Develop and implement anomaly detection techniques and data-driven solutions to proactively identify and resolve system issues. Perform global metric comparisons across various device models. What You'll Bring: You will 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 ❯

models that power live decision-making. What You'll Be Doing: Designing and deploying production-grade ML models that drive live decision-making. Applying computer vision Building fraud and anomaly detection models using geospatial and behavioural signals. Partnering with engineers to scale pipelines, compliance monitors, and detection systems. Leading scientific direction and mentoring other data More ❯

key business services. Utilize Splunk ES for security event monitoring and correlation searches. Automate tasks and integrate systems using Python, Shell, or Perl scripting. Perform root cause analysis and anomaly detection by analyzing complex log data. Requirements: 10+ years experience in observability, with deep expertise in Splunk, especially ITSI. Proficiency in Scripting (Shell/PowerShell/Python More ❯

high-growth environment. Key Responsibilities Develop and deploy computer vision models, with a focus on image classification and quality scoring Apply machine learning techniques such as supervised learning and anomaly detection to visual data problems Work with large-scale, complex image datasets to create production-ready solutions Collaborate cross-functionally to ensure models are effectively integrated and 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 ❯

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 monitoring o Anomaly detection profiles o Alerting rules and alert profiles o Synthetic monitoring o Log monitoring o Real User Monitoring (RUM) to capture and analyse end-user experience across 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 ❯

business needs into data-driven solutions Essential skills: Python (pandas, NumPy, scikit-learn) – data wrangling, modelling, feature engineering SQL – querying structured datasets Model Development & Validation – classification, unsupervised learning (outlier detection), ranking models ML Deployment – containerised deployments (Podman, SageMaker, DSW pipelines) Git – version control for reproducible workflows Time-Series Analysis – spotting risk trends over time EDA – identifying early risk … signals and clusters Desirable skills: Rank aggregation/ensemble methods (e.g. Robust Rank Fusion) Model explainability tools (SHAP, LIME) Model monitoring & drift detection Experience in RegTech, FinCrime, or data-led supervision projects Please submit your CV, highlighting relevant experience. More ❯

business needs into data-driven solutions Essential skills: Python (pandas, NumPy, scikit-learn) – data wrangling, modelling, feature engineering SQL – querying structured datasets Model Development & Validation – classification, unsupervised learning (outlier detection), ranking models ML Deployment – containerised deployments (Podman, SageMaker, DSW pipelines) Git – version control for reproducible workflows Time-Series Analysis – spotting risk trends over time EDA – identifying early risk … signals and clusters Desirable skills: Rank aggregation/ensemble methods (e.g. Robust Rank Fusion) Model explainability tools (SHAP, LIME) Model monitoring & drift detection Experience in RegTech, FinCrime, or data-led supervision projects Please submit your CV, highlighting relevant experience. More ❯