PEM electrolyzer manufacturer scaling green hydrogen production
ITM Power manufactures proton exchange membrane (PEM) electrolyzers for green hydrogen production, with a tech stack dominated by industrial control systems (Siemens PLCs, SCADA, HMI) and process simulation (Aspen Plus, HYSYS). The hiring profile is engineering-heavy—10 of 16 active roles in the past month—focused on process modeling, electrical architectures, and manufacturing scale-up, while concurrent pain points around data integrity and ERP reporting suggest operational friction between product engineering and business systems.
ITM Power, founded in 2000 and listed on the London Stock Exchange AIM market since 2004, designs and manufactures electrolyzers based on PEM technology to produce green hydrogen from renewable electricity and water. Headquartered in Sheffield, the company operates across product development, manufacturing, and engineering services for mid-market and large industrial customers decarbonizing transport and grid infrastructure. The current project slate reflects a manufacturing-scale transition: moving from design into full-scale plant process modeling, MW-module development, and continuous improvement of catalyst-coated membrane (CCM) production, while managing ERP integration and supply-chain procurement strategy.
ITM Power uses proton exchange membrane (PEM) electrolyzer technology, powered by renewable electricity and water, to produce green hydrogen as a net-zero energy gas.
The stack centers on industrial control: Siemens PLCs (S7-300/400/1200/1500), SCADA, HMI, TIA Portal; process simulation (Aspen Plus, HYSYS, PipeSim); design tools (SolidWorks); and data/reporting (OSI PI, Dynamics 365, Microsoft Project).
ITM Power's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.