National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Team Leader - Night Stock Flow

B&Q Limited
Reading
4 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst - Geospatial Team Leader

Data Analyst - Vessel Particulars & Companies Team Leader

Principal Machine Learning Engineer / Team Lead

Data Engineer

Data Analytics Manager

Head of AI Acceleration & Delivery

Overview

Team Leader - Night Stock Flow

Full time - 36.75 hours per week

Permanent Contract

Shifts available Monday - Friday, 9pm - 6am

£29,314.74 (Plus an additional £2 per hour between 10pm - 5am)

B&Q Reading

We believe anyone can improve their home to make life better. Every day, we give our millions of customers the ideas, advice, tools and confidence they need to create a home they’ll love. Join us as a Night Stock Flow Team Leader and you’ll be a big part of this.

What's the job?

We’re thinking differently about how we inspire people to create homes that enable them to live better. You’ll think differently about how we make sure we give them the products to go with the ideas. You’ll see that we stock the things our customers need, as well as products that will spark new possibilities. Efficiency and safety will be vital of course, but you’ll get to create too – exploring new solutions and making decisions that will help grow our business, together.

What we need:

A great communicator who can think clearly and make sound plans no matter how busy things get, you’ll feel right at home with us. You’re an organised and analytical thinker, and you know how to keep things simple. You also know how to develop and direct teams – making sure everyone understands what they need to do. You’ll be happy to expand your skills by using new technology and learning new ways of working. And you’re flexible enough to work on a rota that includes weekends, evenings and bank holidays.

Desired skills and experience:

  1. Experience of working within a warehouse environment is desired but not essential.
  2. Experience in a retail setting, supporting not just customers but also colleagues.
  3. Experience managing, training and developing a team.
  4. Experience promoting a culture of continuous learning and development.
  5. Attention to detail and being curious about how processes can be optimised.
  6. Excellent communication skills to lead, motivate and inspire a team.

What's in it for me?

As part of a great team, you’ll be valued for who you are. We’re committed to making B&Q more diverse and representative of the communities we serve, where everyone can feel they belong and have equal opportunities. You will have access to a range of networks that represent our colleagues and allies and help us to continue to put diversity and inclusion at the heart of our business.

We also recognise that wellness means different things to different people, and we want to help colleagues be at their best and feel well by offering a range of benefits to help you. As well as a competitive salary, our benefits package includes an award-winning pension scheme, ShareSave options, 6.6 weeks holiday, payroll giving, an Employee Assistance Programme, shopping discounts, colleague wellbeing benefits and lots more! We also provide generous breaks to make sure you’re refreshed and able to perform at your best.

So we can support you during the application or interview process, please contact for any recruitment adjustments.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.