Machine Learning Engineer

Kingfisher Plc; Greater London; Hybrid; GBP 125,000 - 150,000; Full time

Job summary

A leading retail group in the UK is looking for a Machine Learning Engineer to support the operationalization of AI solutions. In this role, you will build scalable machine learning systems that enhance the customer experience across various brands. Candidates should have robust Python skills, experience with machine learning models, and be comfortable working collaboratively. This opportunity offers a competitive benefits package and flexible working arrangements to support work-life balance.

Benefits

Private Health Care

Kingfisher Pension Scheme

25 Days' Holiday

Staff Discount

Life Assurance

Competitive bonus scheme

Kingfisher Share Save

Qualifications

• Good understanding of data structures and algorithms.
• Practical machine learning experience.
• Experience in deploying machine learning models.

Responsibilities

• Develop and deploy machine learning models.
• Write production-quality and maintainable code.
• Monitor and optimize model performance.

Skills

Understanding of computer science fundamentals

Experience with classical machine learning techniques

Strong Python skills

Experience with SQL

Understanding of model evaluation

Familiarity with deployment tools

Statistical concepts

Collaborative work

Tools

Pandas

Scikit-learn

Jupyter

Git

Job description

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, both of hours and location. Therefore, we offer colleagues a blend of working from home and our offices, located in London, Southampton & Yeovil. Talk to us about how we can best support you!

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 Engineer who will support the delivery and operationalisation of advanced artificial intelligence 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 across our retail brands.

You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools, processes and practices that accelerate the use of artificial intelligence across the organisation.

Key Accountabilities / Responsibilities

• Develop machine learning models and support their deployment into production
• Write production quality code that is robust, efficient and maintainable
• Contribute to the implementation and improvement of pipelines, tooling and automation
• Apply good engineering standards and practices in model development
• Monitor performance and contribute to ongoing optimisation of models
• Work with colleagues to understand requirements and priorities
• Share knowledge, contribute ideas and support a collaborative team culture

Qualifications

• Good understanding of computer science fundamentals, including data structures, algorithms and software design
• Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural language processing and deep learning
• Strong Python skills and experience with common libraries such as Pandas, scikit‑learn and Jupyter
• Experience working with SQL and data pipelines to prepare and transform data for model training
• Understanding of model evaluation, monitoring and improving performance in a production environment
• Familiarity with tools and practices for deploying models, ideally including Git, CI workflows and containerisation
• Comfortable working with statistical concepts to interpret data and assess model performance
• Ability to work collaboratively, communicate clearly and deliver work to agreed outcome

Behaviours

• Be Customer Focused – constantly improving our customers’ experience
• Be Human – acting with humanity and care
• Be Curious – thrive on learning, thinking beyond the obvious
• Be Agile – working with trust, pace and agility
• Be Inclusive – acting inclus)?. at diverse teams to work together
• Be Accountable – championing the plan to deliver results and growth

We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career.

Private Health Care

Opportunity to receive up to family level cover with AXA. Join within three months of starting or at annual renewal in Aprilкість. (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

×4 Salary plus benefit equal to value of your Retirement Account (if an active member of KPS‑MP) or ×1 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 six 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!