Machine Learning Platform Engineering Manager

Machine Learning Platform Engineering Manager

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.

London, Southampton & Yeovil - Talk to us about how we can best support you!

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.

How We Work

How We Work
We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average within our Engineering team - 40% of your time involves in person collaboration.

We value the perspectives new team members bring and encourage you to apply - even if you don't meet 100% of the requirements.

What We Offer

An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity & Inclusion at Kingfisher here.

We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits.

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.

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

• 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.

Conversations with senior leaders Resources and tools to help you grow

Improving without instruments to help you learn is near impossible. That's why we make sure you have everything at your fingertips to find exactly what you need to keep growing.

Initiatives that measure development

With plans that ask what you want to achieve and when you want to achieve them by, tracking progress and keeping development at the forefront of conversation is easy.

Find your path

The scale of group functions within Kingfisher is huge. That means you have the chance to build different career paths within multiple areas of the organisation.

Sharing is caring

We aren't selfish here at Kingfisher. Whatever your level of experience, you'll work with colleagues who are always welcoming and ready to share their knowledge whenever you need it.

Reach for the stars

So your ambitions are high? Good thing we have opportunities to find experiences in line with more senior roles and responsibilities. Here, you can evolve your career, no matter your level.

Why Kingfisher

We're an innovative, international retailer on a journey to actively make a difference. Always striving to take that next step. You can be part of the difference. From bottom to top you can progress in a collaborative environment. So, why not Kingfisher?

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!

Ready to get started?

London