Machine Learning Engineer

We’re Kingfisher, a team of over 76,000 people who bring Kingfisher brands — B&Q, 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.

At Kingfisher, customers come from all walks of life, and so do we. We are committed to equal treatment for all colleagues, future colleagues, and applicants regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious or philosophical belief, political opinion, disability, gender identity or expression, or sexual orientation.

We are open to flexible and agile working, blending working from home and our offices in London, Southampton & Yeovil. Talk to us about how we can support you.

We are 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 the Kingfisher Group. You will support data science projects from start to production, developing quality code and carrying out automated builds and deployments, working with colleagues in the Data Science team and stakeholders across the business.

• Develop high-quality machine learning models to solve business challenges
• Develop production-quality code and carry out basic automated builds and deployments
• Write comprehensive, well-written documentation
• Identify work and dependencies, tracking progress through a set of tasks
• Communicate clearly with colleagues and business stakeholders
• Proactively share ideas and accept suggestions
• Ability to work on multiple data science projects and manage deliverables

• Solid understanding of computer science fundamentals, data structures, algorithms, data modelling and software architecture
• Solid understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.), state-of-the-art areas (e.g. NLP, Transfer Learning) and modern Deep Learning algorithms (e.g. 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 statistics; hypothesis testing, probability distributions, sampling techniques

• Private Health Care with AXA
• Kingfisher Pension Scheme with auto-enrolment
• 25 Days' Holiday plus bank holidays
• Staff Discount at B&Q and Screwfix
• Kingfisher Share Incentive Plan (SIP)
• Life Assurance
• Bonus scheme
• Kingfisher Share Save

• 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 inclusively in diverse teams to work together
• Be Accountable – championing the plan to deliver results and growth

At Kingfisher, we value the perspectives that any new team member brings and encourage you to apply even if you do not meet 100% of the requirements.

We offer an inclusive environment with opportunities to stretch and grow your career. Find out more about Diversity & Inclusion at Kingfisher here.

1. Step 1: Application – Submit via the Kingfisher Careers website.
2. Step 2: Review – Talent Acquisition will review and inform you if you progress.
3. Step 3: Interview 1 – Telephone or one-to-one with a recruiter.
4. Step 4: Interview 2 – Face-to-face or virtual interview.
5. Step 5: Feedback – Recruiter will provide feedback and any offer details if successful.