Manufacturing Engineer - Digital Manufacturing

A leading provider of innovative laser systems to help people in various global markets, including but not limited to renewables, microelectronics, research, life science, automotive, and medicine. We seek an experienced Digital Manufacturing Engineer to drive innovation and efficiency in a world-class manufacturing facility as they continue their digital transformation. This role is ideal for a technically skilled professional with a proven track record in digital manufacturing systems, automation, and process optimisation. The successful candidate will leverage expertise in programming, databases, AI, and Industry 4.0 technologies to develop and implement advanced solutions that enhance production capability, quality, and scalability. This is a high-impact role where your expertise will directly shape the future of the manufacturing operations. Design, implement, and maintain advanced digital manufacturing systems, including cobots, to improve production efficiency and reliability. Apply AI and machine learning methods, including image classification, to optimise quality, cycle times, and predictive maintenance. Configure, customise, and improve the Oracle Integrated Manufacturing Execution System to streamline workflows and improve data traceability. Write, test, and deploy Python (and/or C#) plugins for automation, predictive analytics, and process control. Optimise, and manage SQL databases to support smart tooling, data integrity, and production analytics. Utilise Power BI and other visualisation tools to generate automated reports, dashboards, and actionable insights. Set best practice standards working with international cross-functional engineering, production, and IT teams to drive successful continuous improvement initiatives and digital transformation projects. Bachelor’s or Master’s degree in engineering, Computer Science, related technical discipline or equivalent professional experience. Proven industrial experience in digital manufacturing, automation and AI/ML analytics in advanced production environments. Hands-on experience with MES, ERP, PLM, SQL and process control tools. Strong proficiency in programming (Python, C#) with demonstrated project experience. Track record of delivering measurable improvements in production performance, efficiency, or quality. Experience with Lean Manufacturing, Six Sigma, or similar continuous improvement methodologies. Experience with industrial automation systems (e.g., PLC programming, SCADA systems). Experience with IIoT for platforms for real-time monitoring and remote data collection. Hands-on experience with robotics integration or cobots in manufacturing.