Machine Learning Engineer

Overview

We’re Kingfisher, a team of over 74,000 people bringing Kingfisher and our brands (BandQ, Screwfix, Brico Depot, Castorama and Koctas) to life. We aim to become the leading home improvement company and the largest community of home improvers in the world. We’re looking for a Machine Learning Engineer to join our growing team to develop and deploy core ML/AI algorithms to tackle data science challenges across Kingfisher Group. You will support data science projects from start to production, developing quality code and carrying out automated builds and deployments, working closely with the Data Science team and stakeholders across the business.We are open to flexible and agile working, with a blend of working from home and offices in London, Southampton and Yeovil. Talk to us about how we can best support you.

What’s the job?

Develop high-quality machine learning models to solve business challengesDevelop production-quality code and carry out basic automated builds and deploymentsWrite comprehensive, well-written documentation that meets our needsIdentify work and dependencies, track progress through a set of tasksCommunicate clearly with colleagues and business stakeholdersProactively share ideas with colleagues and accept suggestionsAbility to 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 architectureSolid understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost) and modern deep learning approaches (e.g. NLP, Transfer Learning, BERT, LSTM)Solid knowledge of SQL and Python’s ecosystem for data analysis (Jupyter, Pandas, Scikit-Learn, Matplotlib, etc.)Understanding of model evaluation, data pre-processing techniques (standardisation, normalisation, handling missing data)Solid understanding of summary, robust, and nonparametric statistics; hypothesis testing, probability distributions, sampling techniques, and stochastic processes

Be Values

Be Customer Focused

– constantly improving our customers’ experienceBe Human

– acting with humanity and careBe Curious

– thrive on learning, thinking beyond the obviousBe Agile

– working with trust, pace and agilityBe Inclusive

– acting inclusively in diverse teams to work togetherBe Accountable

– championing the plan to deliver results and growth

At Kingfisher, we value the perspectives that any new team members bring, and we encourage you to apply even if you do not feel you meet 100% of the requirements. We offer an inclusive environment with opportunities to stretch and grow your career, support for experimentation, and a commitment to Diversity and Inclusion. Find out more about Diversity and Inclusion at Kingfisher here. We also offer a competitive benefits package.

Interested? Great, apply now and help us to Power the Possible.

Job details

Seniority level: Not ApplicableEmployment type: Full-timeJob function: Design and Information TechnologyIndustries: Retail

London, England, United Kingdom – various recent postings and updates ..... full job details .....