A growing technology company is seeking a Machine Learning Engineer to develop predictivemaintenance models for robotic components. This role involves building models from scratch using optical, UV, and thermal imaging data, as well as environmental sensor data such as humidity, temperature, and pressure. Key Responsibilities Develop machine … Data Processing & Synthetic Data Generation Create synthetic datasets to enhance model training and failure mode analysis. Work with high-voltage equipment data to refine predictive capabilities. Work with manufacturers to improve equipment reliability through machine learning insights. Collaborate with an in-house data scientist to process and analyze ML … Python and PyTorch for model development. Experience working with image-based machine learning models, including optical, UV, and thermal imaging. Understanding of anomaly detection, predictivemaintenance, and synthetic data generation. Experience with high-voltage equipment is a plus. How to Apply To learn more, apply now or send More ❯
Data Science to establish, lead and grow our Data Science practice, including the Centre of Excellence (CoE) and oversee the deployment of machine learning, predictive analytics, and data-driven decision-making across the business. In this pivotal role, you will provide strategic leadership to your team and other teams … across business units. Oversee the design, development, and deployment of machine learning and AI models, ensuring scalability and real-world applicability in areas like predictivemaintenance, leakage detection, and customer analytics. Team Leadership & Hub-and-Spoke Model Lead the core data science team and provide oversight to embedded …/ML services (Azure ML, Databricks, etc.). Big Data & Cloud Platforms - Strong understanding of data architecture, cloud solutions, and real-time analytics. Statistical & Predictive Modelling - Deep knowledge of statistical methods, machine learning algorithms, and AI techniques relevant to large-scale operational environments. Data Visualisation & BI - Ability to convey More ❯
Data Science to establish, lead and grow our Data Science practice, including the Centre of Excellence (CoE) and oversee the deployment of machine learning, predictive analytics, and data-driven decision-making across the business. In this pivotal role, you will provide strategic leadership to your team and other teams … across business units. Oversee the design, development, and deployment of machine learning and AI models, ensuring scalability and real-world applicability in areas like predictivemaintenance, leakage detection, and customer analytics. Team Leadership & Hub-and-Spoke Model Lead the core data science team and provide oversight to embedded …/ML services (Azure ML, Databricks, etc.). Big Data & Cloud Platforms – Strong understanding of data architecture, cloud solutions, and real-time analytics. Statistical & Predictive Modelling – Deep knowledge of statistical methods, machine learning algorithms, and AI techniques relevant to large-scale operational environments. Data Visualisation & BI – Ability to convey More ❯
Reading, Oxfordshire, United Kingdom Hybrid / WFH Options
Pertemps
Data Science to establish, lead and grow our Data Science practice, including the Centre of Excellence (CoE) and oversee the deployment of machine learning, predictive analytics, and data-driven decision-making across the business. In this pivotal role, you will provide strategic leadership to your team and other teams … Learning & AI Implementation Oversee the design, development, and deployment of machine learning and AI models, ensuring scalability and real-world applicability in areas like predictivemaintenance, leakage detection, and customer analytics. Team Leadership & Hub-and-Spoke Model Lead the core data science team and provide oversight to embedded …/ML services (Azure ML, Databricks, etc.). Big Data & Cloud Platforms - Strong understanding of data architecture, cloud solutions, and real-time analytics. Statistical & Predictive Modelling - Deep knowledge of statistical methods, machine learning algorithms, and AI techniques relevant to large-scale operational environments. Data Visualisation & BI - Ability to convey More ❯
Data Science to establish, lead and grow our Data Science practice, including the Centre of Excellence (CoE) and oversee the deployment of machine learning, predictive analytics, and data-driven decision-making across the business. In this pivotal role, you will provide strategic leadership to your team and other teams … Learning & AI Implementation Oversee the design, development, and deployment of machine learning and AI models, ensuring scalability and real-world applicability in areas like predictivemaintenance, leakage detection, and customer analytics. Team Leadership & Hub-and-Spoke Model Lead the core data science team and provide oversight to embedded …/ML services (Azure ML, Databricks, etc.). Big Data & Cloud Platforms – Strong understanding of data architecture, cloud solutions, and real-time analytics. Statistical & Predictive Modelling – Deep knowledge of statistical methods, machine learning algorithms, and AI techniques relevant to large-scale operational environments. Data Visualisation & BI – Ability to convey More ❯
exceptional quality and building long lasting relationships. Focused on SAP S4HANA & EAM with recognised expertise and helping to deliver wide scale initiatives in the maintenance, reliability and engineering space. Headquartered in Slough, UK with offices in Chennai, Netherlands & Aberdeen with teams across Europe and India. See for more details. … Position We are seeking an experienced SAP Plant Maintenance (PM) Principal Consultant to lead and support a Greenfield S/4HANA implementation . The ideal candidate will bring a deep understanding of SAP PM processes, hands-on configuration skills, and strong business consulting experience. This role requires the ability … experience with SAP PM, including at least 2 full-cycle implementations. Proven experience with S/4HANA Greenfield implementations. Strong functional knowledge of Plant Maintenance processes, including notifications, work orders, preventive maintenance, and equipment management. Familiar with Fiori apps, SAP Activate methodology, and S/4HANA simplifications. Ability More ❯