Lead Machine Learning Engineer

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 Koçtaş – 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 Lead Machine Learning Engineer – Data Science Team 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. Responsibilities 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. Qualifications & Experience 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). Strong management and leadership skills – previous experience managing a team. Strong influencing, communication and stakeholder management skills. Values – What We Believe 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‑modeling 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. What We Offer 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. #LI-TB1 Benefits Private Health Care – Opportunity to receive up to family level cover with AXA. Join within three months of starting or at annual renewal in April. (This benefit is subject to Benefit In Kind taxation). Kingfisher Pension Scheme – Immediate eligibility through auto‑enrolment. Contribute 8% to receive a max 14% from the Company. 25 Days’ Holiday – 25 days per annum plus bank holidays as stated in your contract (pro‑rated for part‑time colleagues). Staff Discount – 20% discount at B&Q and Screwfix. Eligible after 3 months service. Kingfisher Share Incentive Plan (SIP) – Share ownership in a tax‑efficient way. Save between £10 to £150 per month. Join at any time once three months service is reached. Life Assurance – x4 Salary plus benefit equal to value of your Retirement Account (if an active member of KPS‑MP) or x1 Salary if not active member. Bonus – Competitive bonus scheme that aligns to work level of role. Kingfisher Share Save – Save with the option to buy Kingfisher plc shares at the end of a 3 or 5 year period. Offered annually. Three months service is required at the annual invitation date, normally in October. Our Behaviours At Kingfisher, we are united by our 6 core behaviours. Constantly improving our customer experience. Acting with humanity and care. Be curious – thriving on learning, thinking beyond the obvious. Be inclusive – acting inclusively in diverse teams to achieve together. Be agile – working with trust, pace and agility. Be accountable – championing the plan to deliver results and growth. Training & Development There are so many ways you can grow, learn, and develop here at Kingfisher. At whatever pace suits you. Application Process What to expect from our application process… Step 1: Application Send in your application via our Kingfisher Careers website. Step 2: Review A member of the Talent Acquisition team will then review your application and let you know if you have progressed to the next stage of the process. Step 3: Interview 1 You’ll then have a telephone interview/one to one conversation with a recruiter. Step 4: Interview 2 As you progress, you’ll be invited to attend a face to face or virtual interview. Step 5: Feedback Your recruiter will be in contact with feedback and, if successful, the details of your job offer #J-18808-Ljbffr