Industrial Manager

Industrial Manager

Full-Time 55000 - 55000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead digital transformation and implement smart factory solutions using cutting-edge tech.
  • Company: Join a well-established company with a focus on innovation and growth.
  • Benefits: Enjoy a competitive salary, bonus, and flexible working hours.
  • Other info: Be part of a dynamic team with opportunities for career advancement.
  • Why this job: Make a real impact in the industrial sector with advanced technologies.
  • Qualifications: Experience in industrial management and knowledge of IoT and AI.

The predicted salary is between 55000 - 55000 £ per year.

Location: Based in Cramlington OR Consett.

Salary: £55,000 per year, plus 10% bonus.

Hours: Monday Thursday, 8.30am 4.30pm. Fridays, 8am 1pm.

Job type: Full-time, permanent.

Bridge Recruitment is helping one of our established clients recruit an experienced Industrial Manager to join their ever-expanding team.

Responsibilities of the Industrial Manager:

  • Lead digital transformation using IoT, AI, automation, and data analytics.
  • Implement smart factory, predictive maintenance, and real-time monitoring solutions.
  • Develop digital twins and simulation models to optimize processes.
  • Lead new product industrialization from R.

Industrial Manager employer: Bridge Recruitment UK Limited

Join our dynamic Housing Association team in London as a Domestic Gas & Technical Engineer, where you will enjoy a supportive work culture that prioritises employee growth and development. With competitive salaries, comprehensive benefits including a company van, training support, and a commitment to safety and quality service, we offer a rewarding environment for skilled professionals looking to make a meaningful impact in the community.

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Contact Details:

Bridge Recruitment UK Limited Recruitment Team

We think you need these skills to ace Industrial Manager

Digital Transformation
IoT (Internet of Things)
AI (Artificial Intelligence)
Automation
Data Analytics
Smart Factory Implementation
Predictive Maintenance