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Senior Machine Learning EngineerKingfisher plc • City of London, England, United Kingdom
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Senior Machine Learning Engineer

Kingfisher plc
  • GB
    City of London, England, United Kingdom
  • GB
    City of London, England, United Kingdom
Apply Now

About

We are Kingfisher, a team of over 76,000 people that brings Kingfisher and our brands (B&Q, Screwfix, Brico Depot, Castorama and Koctas) to life. We aim to become the leading home improvement company and grow the largest community of home improvers in the world. We welcome applicants who can contribute to this ambition. We are committed to equality and inclusion. We treat all colleagues, future colleagues, and applicants equitably regardless of age, gender, marital or civil partnership status, colour, ethnicity, culture, religious or political beliefs, disability, gender identity or sexual orientation. We are open to flexible and agile working, including mix of from-home and office-based work. Our offices are located in London, Southampton and Yeovil. Talk to us about how we can best support you. We are looking for a Senior Machine Learning Engineer to join our growing team to develop and deploy core ML/AI algorithms for data science challenges across the Kingfisher Group. You will support data science projects from start to production, developing quality code and enabling automated builds and deployments, working closely with the Data Science team and stakeholders across the business. What’s the job?
Develop high-quality machine learning models to solve business challenges Develop production-quality code and carry out basic automated builds and deployments Write comprehensive documentation that meets our needs Identify work and dependencies and track progress through a set of tasks Communicate clearly with colleagues and business stakeholders Proactively share ideas and welcome feedback Work on multiple data science projects and manage deliverables What You'll Bring
Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Solid understanding of classical machine learning algorithms (e.g., Logistic Regression, Random Forest, XGBoost) and modern deep learning (e.g., BERT, LSTM); familiarity with NLP and transfer learning Solid knowledge of SQL and Python ecosystem for data analysis (Jupyter, Pandas, Scikit-Learn, Matplotlib, etc.) Understanding of model evaluation and data preprocessing techniques (standardisation, normalization, handling missing data) Solid understanding of summary, robust, and nonparametric statistics; hypothesis testing, probability distributions, sampling techniques, and stochastic processes Be Customer Focused
I listen to my customers I use available data to help make decisions Be Human
I do the right thing I am respectful Be Curious
I build and share new ideas I try new things and share my learnings Be Agile
I have courage to be creative Done is better than perfect; I aim for 80/20 Be Inclusive
I embrace allyship I have self-awareness and a desire to learn Be Accountable
I own my actions I understand the Kingfisher plan and how it relates to my role We value the perspectives new team members bring and encourage you to apply even if you do not 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, support experimentation, and strive to help everyone be their best self. Learn more about Diversity & Inclusion at Kingfisher. We offer a competitive benefits package and opportunities for growth. If you’re interested, apply now to help us Power the Possible.
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  • City of London, England, United Kingdom

Languages

  • English
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