Site Manager - Waste Wood Processing Application Deadline: 13 October 2026 Department: Site Operations Employment Type: Permanent Location: Widnes Description We are seeking an experienced Site Manager to lead the safe, compliant and efficient operation of our
Job Requirements Why work for us? Alkegen brings together two of the world’s leading specialty materials companies to create one new, innovation-driven leader focused on battery technologies, filtration media, and specialty insulation and sealing materials. Through
SHIFTS YOU ARE APPLYING FOR: 6hrs p/w; Sat 09:00 - 15:30 Working as part of a fast-paced store team, your top priority will be to offer outstanding service and excellent stock operations to our customers. In
SHIFTS YOU ARE APPLYING FOR: 14hrs p/w; Sun 11:30 - 14:30; Wed 13:30 - 20:00; Fri 13:45 - 19:00 Working as part of a fast-paced store team, your top priority will be to offer outstanding service
A pioneering data-driven technology company in Widnes is seeking a Senior Data Scientist. The role involves implementing data and machine learning methods, applying signal processing techniques, and researching new algorithms. Candidates should have a background in Physics,
Site Manager At Panda, we value waste. That means finding smarter, safer and more sustainable ways to recover value from materials, reduce environmental impact and keep essential operations running efficiently. About The Role Site Manager At
Panda is seeking an experienced Site Manager to lead day‑to‑day operations at one of its processing facilities. This hands‑on role focuses on safety, compliance, plant performance and people management to deliver value and sustainability goals. You will
TIG Welder We have a fantastic new opportunity for a skilled and quality-focused Welder to join SpaFlos specialist manufacturing team, producing premium stainless steel products for high-end leisure, wellness, residential, commercial and hospitality projects. If youve
Overview Yoh have partnered with a growing business who we have aided in creating their Data & Machine Learning team internally. As a business theyre pioneering and leading a data-driven technologies business approach using sensor &