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About the Role

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.

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

Requirements

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 outcomes

Skills

Python
Pandas
scikit-learn
Jupyter
SQL
Git
CI workflows
containerisation
natural language processing
deep learning

Location

Remote
Hybrid

Work Type

Hybrid

Experience Level

Mid-level

Benefits

Competitive benefits package
Opportunities to stretch and grow your career

About the Company

Kingfisher is 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.
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.
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.

Equal Opportunity

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.