6 of 6 Contract Anomaly Detection Jobs in the UK excluding London

Collaborate with engineering and business stakeholders to identify performance trends, operational opportunities, and actionable insights. Create data pipelines and workflows that support operational monitoring, anomaly detection, service analytics, and business intelligence initiatives. Integrate data from multiple enterprise systems including Azure, SQL databases, APIs, cloud platforms, and operational … Azure Data Factory, Synapse Analytics, Data Lake, or related cloud data technologies. Experience creating executive dashboards and operational reporting solutions. Knowledge of machine learning, anomaly detection, predictive analytics, or statistical analysis techniques. Experience working with large-scale telemetry, operational, or IoT datasets. Familiarity with DevOps practices ...

Influence technical direction rather than simply execute a roadmap. Build solutions across the complete machine learning lifecycle. Develop expertise in cutting-edge areas including anomaly detection, agentic AI and intelligent decision-support systems. Operate in a high-trust environment with genuine ownership and accountability. Move faster, with ...

huge impact to the security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements ...

packs; track benefits realization versus plan and highlight trade-offs. AI-Enabled Transformation and Engineering Partnership Identify and validate AI/ML opportunities (e.g., anomaly detection, match optimization, exception triage); design-controlled pilots and scale proven solutions. Partner with engineering to prioritize capabilities, ensure backlog quality ...

operability into delivery pipelines. Improve alert quality by reducing noise, optimising thresholds and linking alerts to actionable runbooks. Support the adoption of AIOps and anomaly detection capabilities to improve service restoration and predictive operations. Help define reliability standards, operational controls and best practices across the technology estate. ...

validation into Azure DevOps and GitHub pipelines. Develop monitoring-as-code and testing-as-code using Terraform. Create actionable dashboards, SLOs, SLIs, alerts and anomaly detection. Drive reliability improvements, performance investigations and root-cause analysis. What we're looking for Strong hands-on Datadog experience across Synthetic Monitoring ...