Due to our continued growth, we now have an exciting opportunity for a Cleaner to join our business working at Nike Town London, W1C 1DE
No experience is required as we will invest in your training and development, while giving access to education for your future progression.
Uniform, equipment and products will be provided, and in addition to working with an enthusiastic team you will have access to a range of benefits which include Retail, Transport, Visitor attractions, Healthcare discounts and a Cycle to Work scheme.
The working pattern:
Duties will include:
The Candidate:
In return we offer:
If this sounds of interest to you, don’t delay apply today!
Our company recognises and values the enriching benefits equality, diversity and inclusion bring to our community. We celebrate diversity and actively encourage applicants from minority ethnic groups, LGBTQ+, disabled and neuro-diverse groups to apply for our vacancies. Our aim is to nurture happy teams who learn from and inspire each other and we believe diversity is key to achieving this goal.
Our Company is one of the UK’s leading and fastest growing soft FM service providers, offering the full range of professional cleaning services nationwide.
We are transforming the commercial cleaning space, combining pioneering future-fit technology and innovation with an ambition to ensure that every colleague has progression opportunities through dynamic training, development, and access to education.
Location: Bristol (UK)Salary: A competitive salary between 25k to 35k, DOE with big uncapped commission of 60kwith an excellent uncapped commission structure with zero thresholdsOffice hours:
Previous experience in a customer service role or knowledge of cycling would be great, but this is not essential.
From supporting customer operations to store processes, or leading your colleagues, you know how to deliver great standards.
Uncapped earning potential with our 5* Commission Scheme. To greet customer with a sincere and warm welcome and ensure they are aware you are there to help.
Sector: Data Science & Machine Learning, AI, NLP & Computer Vision, Data. You will be responsible for prototyping, building ML/DL models, deploying models and