Kingfisher
Lead Machine Learning Engineer

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Overview
We’re Kingfisher, a team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas - to life. That’s right, we’re big, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the largest community of home improvers in the world. And that’s where you come in.
At Kingfisher, our customers come from all walks of life, and so do we. We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation.
We are open to flexible and agile working hours and locations. Therefore, we offer colleagues a blend of working from home and our offices. Talk to us about how we can best support you!
What's the job?
We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. You will trailblaze the development of data science algorithms, while building, leading, nurturing and retaining a high performing data science team working on banner as well as group priorities.
- Lead the implementation of data science projects and data science approaches to support commercial goals
- Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working
- Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data science and embed the use of data science directly in our products and processes
- Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results
- Be a champion and role model for the application of data science across the Kingfisher group
- Support the data leadership team in developing a “data culture” and demonstrating the value of data in our decision making
- Lead our efforts to develop the data science (and broader customer analytics) “brand” at Kingfisher for both internal and external audiences
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What you'll bring
- Proven experience delivering high-quality AI-based products and productionisation of Machine Learning based products
- Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP)
- Excellent understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.)
- Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib)
- Strong software development skills (Python is the preferred language)
- Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow
- Strong management and leadership skills – previous experience managing a team
- Strong influencing, communication and stakeholder management skills
- Be Customer Focused – constantly improving our customers’ experience
- We listen to our customers and colleagues
- We innovate products and experiences to stay ahead
- Be Human – leading with purpose, humanity and care
- We do the right thing
- We invest in our people and build great teams
- Be Curious – thrive on learning, thinking beyond the obvious
- We focus externally, globally and build the long term
- We experiment and share our learnings
- Be Agile – building trust and empowering people to work with agility
- We act with pace, not perfection, role modelling 80/20
- We take risks, fail fast and adapt quickly
- Be Inclusive – inspiring diverse teams to achieve together
- We celebrate difference as a strength
- We collaborate, breaking down silos
- Be Accountable – owning the plan, delivering results and growth
- We focus on performance outcomes
- We prioritise and simplify for others


Get help with your application
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At Kingfisher, we value the perspectives that any new team members bring, and we want to hear from you. We encourage you to apply for one of our roles even if you do not feel you meet 100% of the requirements.
In return, we offer an inclusive environment, where what you can achieve is limited only by your imagination! We encourage new ideas, actively support experimentation, and strive to build an environment where everyone can be their best self.
We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career.
Interested? Great, apply now and help us to Power the Possible.
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