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 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, 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

•  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

Be Customer Focused – constantly improving our customers’ experience 

• I listen to my customers 
• I use available data to help make decisions 

 Be Human – acting with humanity and care 

• I do the right thing 
• I am respectful 

 Be Curious – thrive on learning, thinking beyond the obvious 

• I build and share new ideas 
• I try new things and share my learnings 

Be Agile – working with trust, pace and agility  

• I have courage to be creative 
• Done is better than perfect, I aim for 80/20 

 Be Inclusive – acting inclusively in diverse teams to work together 

• I embrace allyship 
• I have self-awareness and a desire to learn 

 Be Accountable – championing the plan to deliver results and growth  

• I own my actions 
• I understand the Kingfisher plan and how it relates to my role 

 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. 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.

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