6 of 6 Contract Anomaly Detection Jobs in the UK

automated alerting. Enhance end-to-end pipeline resilience, monitoring, observability, failure handling, and recovery mechanisms. Integrate AI/ML features to boost reliability, anomaly detection, and operational efficiency. Collaborate closely with Data Product teams, Analytics Engineering, and Data Science to deliver production-grade data solutions. Ensure pipelines … domain platforms. Experience in enterprise data transformation programmes with stringent SLAs and reliability expectations. Preferred Experience: Exposure to AI-enabled pipeline capabilities, such as anomaly detection or intelligent monitoring. Good understanding of MLOps or supporting deployment of ML models into production environments. Experience with CI/ ...

clearance and a strong background in building and deploying ML solutions within cloud environments. Key Responsibilities: Develop and deploy machine learning models for anomaly detection Build proofs of concept (PoCs) to validate data science approaches Design and implement automated workflows and pipelines Work with large-scale datasets … mandatory) Strong proficiency in Python Hands-on experience with AWS , particularly SageMaker Experience with Streamlit for rapid prototyping and PoC development Solid understanding of anomaly detection techniques Experience building data workflows/pipelines Desirable: Experience working in secure/government environments Knowledge of MLOps best practices Familiarity ...

support consistent and governed development. Enable Gen AI and Co pilot Studio adoption by producing AI ready datasets and identifying opportunities for automation, anomaly detection, and forecasting. Optimise BI workflows by leveraging AI for documentation, requirements capture, DAX optimisation, and natural language querying. Key Responsibilities Design ...

Modeling Consultant to design and implement comprehensive threat models for 90-100 diverse applications. The consultant will evaluate application-generated logs, develop threat detection strategies, and report findings … Information Security team. This role requires deep expertise in Microsoft Azure security tools, log analytics, and automation to enhance the customer’s application anomaly detection capabilities. Key Responsibilities: Develop detailed threat models tailored for a large portfolio of applications with varying threat categories. Analyze logs generated ...

Threat Modelling Consultant to design and implement comprehensive threat models for 90-100 diverse applications. You will evaluate application-generated logs, develop threat detection strategies and report findings … Information Security team. This role requires deep expertise in Microsoft Azure security tools, log analytics and automation to enhance the customer's application anomaly detection capabilities. Key Responsibilities: Develop detailed threat models tailored for a large portfolio of applications with varying threat categories Analyse logs generated ...

establish observability standards. To thrive in this role, you should have extensive experience in designing and configuring the following within Dynatrace: Application performance monitoring Anomaly detection profiles Alerting rules and alert profiles Synthetic monitoring Log monitoring Real User Monitoring (RUM) to capture and analyze end-user experiences ...