2 of 2 Predictive Analytics Jobs in the North East

Key responsibilities include: Lead electrical, control, and instrumentation projects from cradle to grave, including design, documentation, testing, and commissioning. Support the integration of advanced sensor systems, machine learning, and predictive analytics for real-time process control. Drive adoption of Industry 4.0 technologies such as IoT, AI/ML, and digital twins. Manage technical drawings and documentation (schematics, wiring … Strong knowledge of control systems (Siemens preferred), automation protocols, and solid understanding of lean/Six Sigma methodologies. Excellent stakeholder engagement and communication skills. Familiarity with Industry 4.0 technologies, predictive analytics, and digital twin development. Desirable: experience with LabVIEW, programming (C++, C#, Python, R), or gamification tools (UE5 Engine). Why Should You Apply? Opportunity to join a More ❯

be doing: Developing and optimising SQL Server solutions to support real-time data feeds from machines, sensors, and production lines Managing and enhancing time series data pipelines to power predictive analytics and performance monitoring Working on push notifications, protocols, and query optimisation to keep data fast, clean, and actionable Driving the migration to Microsoft Fabric, with a focus … on KQL (Azure Data Explorer/Fabric Real-Time Analytics) Collaborating with cross-functional teams in an Agile environment to deliver scalable, high-value solutions Supporting reporting and analytics - Power BI now, Microsoft Fabric in the future What we're looking for: 5+ years of SQL Server development experience (T-SQL, stored procedures, optimisation) Strong background in real … teams delivering incremental improvements Nice to have: Exposure to industrial IoT protocols (MQTT, OPC UA) or edge computing Knowledge of Azure services (Event Hubs, IoT Hub, Synapse) Experience with predictive maintenance or manufacturing KPIs Why join this project? Be at the forefront of a Smart Manufacturing and Industry 4.0 transformation Work in a hybrid pattern - typically 3 days per More ❯