Site Manager

Cooplands
York
1 week ago
Applications closed

Related Jobs

View all jobs

Assistant Site Manager

Trainee Assistant Site Manager

Project Manager

Clinical Trial Manager

Facilities Operations Manager

Branch Manager - Swindon

Role:Cooplands Store Manager

Location:North Marine Road,YO12 7PD

Hours:Full-Time / Permanent

Salary:£26,780

Bonus Scheme:Quarterly Bonus Incentive!

Company:Cooplands Bakery

What will my role look like?

We are looking for a passionate Store Manager who can lead, inspire and motivate your team to join our welcoming Cooplands bakery! Our Store Managers are the heart and soul of our stores and keep sprits high; you are able to stay focused on delivering excellent standards and great products all whilst keeping an eye on your targets.

Your honesty, hard-work and leadership abilities will inspire your team to deliver great results and provide a consistently brilliant customer experience. You strive to promote sales and increase profitability and you keep a close eye on waste controls, labour controls and customer service standards. You lead from the front by rolling your sleeves up and supporting your team with food preparation, store cleanliness and serving our loyal customers.

Whats in it for me?

To show our appreciation for your hard work, we have a range of benefits you can take advantage of

  • 25% Cooplands Staff Discount
  • 28 Days Annual Leave (including bank holidays and rising up to 33 days with long service
  • Pension Scheme
  • 24/7 access to virtual GP & wellbeing service
  • Life Assurance
  • Progression & career opportunities
  • Recognition rewards
  • Discretionary Sickness pay
  • Access to Employee Assistance Programme

Got what it takes?

If you have store management experience then that is great, we would love you to apply! Or if you have supervisory experience within hospitality / retail and feel you are ready to step into a managerial role then dont hesitate to submit your application, we are interested in speaking with you.


JBRP1_UKTJ

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI vs. Data Science vs. Machine Learning Jobs: Which Path Should You Choose?

In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.

AI Programming Languages for Job Seekers: Which Should You Learn First to Launch Your AI Career?

Artificial Intelligence (AI) is no longer confined to academic research; it now sits at the core of countless modern industries. From healthcare diagnostics powered by machine learning to autonomous driving and natural language processing, organisations are investing heavily in AI capabilities. This surge in AI adoption has created a thriving job market for talented professionals—data scientists, machine learning engineers, AI researchers, and more. Yet if you’re aiming to break into this fast-growing field, one of the first questions you’ll ask is, “Which AI programming language should I learn first?” Given the array of options available—Python, R, Java, C++, Julia, among others—understanding the strengths, community support, and industry relevance of each is crucial. In this extensive guide, tailored for www.artificialintelligencejobs.co.uk, we’ll explore the top AI programming languages that can help you stand out to employers, accelerate your learning curve, and equip you with the skills to succeed in a competitive job market. By addressing both beginners and experienced programmers, we aim to provide actionable insights to help you choose the right language, master essential tools, and build a compelling career in AI.

UK Visa & Work Permits Explained: Your Essential Guide for International AI Talent

The United Kingdom has long been a hub of innovation, drawing some of the world’s brightest minds to its shores. In recent years, the country’s thriving technology ecosystem has been propelled by advances in Artificial Intelligence (AI), Machine Learning (ML), Robotics, Data Science, and related fields. From deep-tech start-ups in Silicon Roundabout to established global powerhouses, the UK remains at the forefront of AI research and development. Yet, for international AI professionals hoping to contribute to the UK’s tech growth, one of the most challenging hurdles can be understanding the visa and work permit landscape. The UK immigration system has its unique nuances, and it can be overwhelming to decide which route is best suited for your career aspirations. This comprehensive guide will help you navigate the main visa and work permit options for AI professionals, provide insight into the eligibility criteria, and offer practical tips on securing your dream role in the British AI sector.