At a Glance
- Tasks: Lead AI projects and shape the future of home improvement with innovative Machine Learning solutions.
- Company: Join Kingfisher, a leading retail group dedicated to better homes and lives for everyone.
- Benefits: Enjoy competitive pay, private healthcare, generous holiday, and staff discounts.
- Other info: Diverse and inclusive workplace with opportunities for career growth.
- Why this job: Make a real impact on millions while championing AI in a dynamic environment.
- Qualifications: Strong leadership and technical skills in Machine Learning and AI solutions.
The predicted salary is between 80000 - 100000 £ per year.
We’re Kingfisher, a team made up of over 74,000 passionate people bringing Kingfisher and our other brands – B&Q, Screwfix, Brico Dépôt, Castorama and Koctasto life – guided by our purpose: Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement.
This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineering Manager who can lead the productionisation of advanced AI solutions created by our Group AI team. Your work will help shape how millions of customers and colleagues experience our products, services and decision making. You will guide the delivery of real‑world Machine Learning systems across the business and help establish a strong engineering culture across our AI organisation. This role is suited to someone who is confident in both leadership and technical depth, with enthusiasm to champion the adoption of AI across the group.
Key Accountabilities / Responsibilities
- Lead the delivery of major Artificial Intelligence projects and help drive the next stage of Machine Learning development within Kingfisher.
- Oversee multiple teams working across a wide range of business domains and ensure they deliver complete end‑to‑end Machine Learning solutions.
- Develop and support Machine Learning team leads who each manage domain‑based project teams.
- Build and guide diverse teams that can translate business needs into Machine Learning solutions and communicate recommendations clearly to non‑technical stakeholders.
- Create an environment of cross‑team collaboration and knowledge sharing in order to improve effectiveness across Group AI.
- Work closely with Technology, Product and Data colleagues to help shape the data platforms that enable us to embed Machine Learning into our products and operational processes.
- Act as a visible advocate for the use of Machine Learning within Kingfisher and help promote its value across the group.
- Support the wider data leadership team in developing a strong data culture and in demonstrating the importance of data‑informed decisions.
- Contribute to the development and recognition of the Group AI brand both inside and outside the organisation.
Qualifications
- Strong leadership experience with the ability to build, mentor and organise high‑performing Machine Learning teams.
- Excellent stakeholder management skills with the ability to understand real business needs and influence senior decision makers.
- Solid grounding in computer science including algorithms, data structures, modelling and software architecture.
- Strong understanding of classical Machine Learning and modern Deep Learning methods.
- Good proficiency in SQL and Python and familiarity with the Python data ecosystem.
- Experience working with Generative AI and agent‑based frameworks such as LangChain or LangGraph.
- Clear understanding of the Machine Learning development lifecycle and MLOps principles.
- Proven experience delivering AI solutions into production environments including cloud‑based services.
- Confidence working with CI/CD, data pipelines and containerised deployments such as Kubernetes and Kubeflow.
- Strong communication skills and the ability to manage several technical projects simultaneously.
Benefits
- We offer a competitive benefits package and ample opportunities to stretch and grow your career.
- Private Health Care – Opportunity to receive up to family level cover with AXA.
- 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.
- 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.
- Life Assurance – x4 Salary plus benefit equal to value of your Retirement Account.
- Bonus – Competitive bonus scheme that aligns to work level of role.
- Kingfisher Share Save – Option to buy Kingfisher plc shares at the end of a 3 or 5 year period.
Diversity & Inclusion
Our customers come from all walks of life – and so do we. We’re committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation.
Machine Learning Platform Engineering Manager in Denham employer: NLP PEOPLE
At Kingfisher, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation. With a commitment to employee growth, we provide ample opportunities for career advancement, competitive benefits including private healthcare and generous holiday allowances, and a strong focus on diversity and inclusion. Join us in London, Southampton, or Yeovil, and be part of a team that is dedicated to shaping the future of home improvement while making a meaningful impact on millions of customers' lives.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Platform Engineering Manager in Denham
✨Tip Number 1
Network like a pro! Reach out to current employees at Kingfisher on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Machine Learning Platform Engineering Manager role.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with AI solutions, MLOps principles, and how you've led teams in the past. We want to see your passion for Machine Learning!
✨Tip Number 3
Showcase your leadership style! Be ready to share examples of how you've built and mentored high-performing teams. Kingfisher values strong leaders who can communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Kingfisher family and contributing to our mission of Better Homes, Better Lives.
We think you need these skills to ace Machine Learning Platform Engineering Manager in Denham
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Machine Learning Platform Engineering Manager role. Highlight your leadership experience and technical skills that align with the job description. We want to see how you can make a real impact at Kingfisher!
Showcase Your Projects:Include specific examples of AI projects you've led or contributed to in the past. This is your chance to demonstrate your ability to deliver end-to-end Machine Learning solutions. We love seeing tangible results and how you've influenced business decisions!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your experience and how it relates to the role. Remember, we want to understand your journey and how you can help shape the future of home improvement!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for the role. Plus, it shows you’re keen on joining the Kingfisher team!
How to prepare for a job interview at NLP PEOPLE
✨Know Your AI Stuff
Make sure you brush up on your knowledge of classical and modern Machine Learning methods. Be ready to discuss specific projects you've worked on, especially those involving Generative AI or MLOps principles. This will show that you have the technical depth needed for the role.
✨Showcase Your Leadership Skills
Prepare examples of how you've built and mentored high-performing teams in the past. Highlight your experience in stakeholder management and how you've influenced decision-makers. This is crucial as the role requires strong leadership and the ability to guide diverse teams.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You'll need to communicate effectively with non-technical stakeholders, so being able to translate business needs into Machine Learning solutions is key. Think about how you can demonstrate this during the interview.
✨Emphasise Collaboration
Be prepared to discuss how you've fostered cross-team collaboration in previous roles. Kingfisher values an environment of knowledge sharing, so share examples of how you've improved effectiveness across teams and contributed to a strong data culture.