6 of 6 Permanent Anomaly Detection Jobs in Scotland

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 ...

with Apache Airflow. Strong working knowledge of both supervised and unsupervised techniques, including tree-based and kernel methods (gradient boosting, random forest, SVM) and anomaly-detection approaches such as Isolation Forest, Local Outlier Factor, and locality-sensitive hashing. Solid grounding in data pre-processing, feature engineering, model ...

Code (IaC) is the organisational default and challenge inefficient legacy processes. FinOps & Governance: Enforce strict automated security and cost controls, real‐time cost‐anomaly detection, and cost estimation into the Software Development Life Cycle (SDLC) as a standard. Understanding of OpenTelemetry or other telemetry approaches. Internal Platform ...

Code (IaC) is the organisational default and challenge inefficient legacy processes. FinOps & Governance: Enforce strict automated security and cost controls, real-time cost-anomaly detection, and cost estimation into the Software Development Life Cycle (SDLC) as a standard. Understanding of OpenTelemetry or other telemetry approaches. Internal Platform ...

significant scope for ownership, innovation and career development. Key Responsibilities Design and deliver AI solutions using Microsoft Azure, including RAG, data classification, forecasting and anomaly detection. Identify opportunities to introduce AI into existing business processes and systems. Integrate AI solutions with Microsoft 365, SharePoint, Teams, Entra ID, SQL databases … with Retrieval-Augmented Generation (RAG). Knowledge of vector databases. Experience with AI frameworks such as Haystack, LlamaIndex or Semantic Kernel. Experience with forecasting, anomaly detection or data classification. Knowledge of CNC, manufacturing, construction or other industrial environments would be advantageous but is not essential. Understanding ...

adoption across sites Lead identification, prioritization, and delivery of high‐value AI and advanced analytics use cases for the shop floor (e.g., predictive maintenance, anomaly detection, quality insights, loss intelligence) Partner with OT/IT/Digital teams to integrate SAP S/4HANA with shop floor ...