At a Glance
- Tasks: Lead training sessions for a major operations transformation project across the UK.
- Company: Join a dynamic team focused on innovative logistics solutions.
- Benefits: Hybrid work model, expenses paid for onsite days, and valuable training experience.
- Other info: Exciting opportunity to impact 500 engineers with cutting-edge tools.
- Why this job: Make a real difference by training engineers on new tech and processes.
- Qualifications: 5+ years in operations/logistics training and strong communication skills required.
The predicted salary is between 29250 - 35750 £ per year.
On behalf of one of our key partners, RED now has a new opportunity for an Operations/Logistics Trainer to join them on a 10 weeks training project.
Start: 1st September.
Duration: 10 weeks.
Location: Various - 3 days per week onsite (expenses paid), 2 days per week remote. First 4 weeks in Cannock.
The first 4 weeks will be a Train-the-Trainer course ensuring that you are familiar with the training material you will be delivering. The following 6 weeks will be delivering the actual training. The organisation is rolling out IFS alongside a new Mobile Work Order Platform and updated Toughbook/tablet devices for its engineering workforce. The project will impact approximately 500 engineers across the UK.
Specific skills/experience required:
- 5+ years of experience as an operations/logistics/engineering trainer.
- Excellent experience delivering training sessions in relation to large scale operations transformations.
- Excellent English communication skills.
- Experience with IFS, Mobile Work Order platform and/or Toughbook/Tablet introduction projects is an advantage but not essential.
This role will be INSIDE IR35.
If you are interested please contact Alex Upton-Agerholm or apply here.
Operations Trainer in Birmingham employer: RED Global
As a leading employer in the tech industry, we offer MLOps Engineers the opportunity to work in a dynamic and innovative environment in London, where cutting-edge technology meets collaborative teamwork. Our commitment to employee growth is reflected in our mentorship programmes and continuous learning initiatives, ensuring that you can advance your career while contributing to impactful projects. With a strong focus on work-life balance and a culture that values creativity and diversity, we provide a rewarding workplace for those looking to make a difference in the field of machine learning.
