Machine Learning Engineer

Kingfisher plc; London; Hybrid; GBP 40,000 - 80,000; Full time

Job description

We're Kingfisher, a team made up of over 82,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama, and Koctas - to life. We have ambitions 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!

We are looking for Machine Learning Engineers at Senior and Mid Level to join our growing team, to develop and deploy core ML/AI algorithms required 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 colleagues in the Data Science team as well as stakeholders across the business.

Responsibilities

• 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 that meets our needs
• Identify work and dependencies, tracking progress through a set of tasks
• Communicate clearly with colleagues and business stakeholders
• Proactively share ideas with colleagues and accept suggestions
• Ability to work on multiple data science projects and manage deliverables

Qualifications

• 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, etc.), state-of-the-art research areas (e.g., NLP, Transfer Learning, etc.), and modern Deep Learning algorithms (e.g., BERT, LSTM, etc.)
• 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, such as standardisation, normalisation, and handling missing data
• Solid understanding of summary, robust, and nonparametric statistics; hypothesis testing; probability distributions; sampling techniques; and stochastic processes

Core Behaviours

• 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 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.

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

What we offer

• Private Health Care: Opportunity to receive up to family level cover with Bupa.
• Kingfisher Pension Scheme: Immediate eligibility through auto-enrolment.
• 25 Days' Holiday: 25 days per annum plus bank holidays.
• Staff Discount: 20% discount at B&Q and Screwfix.
• Kingfisher Share Incentive Plan (SIP): Share ownership in a tax-efficient way.
• Life Assurance: x4 Salary plus benefit equal to value of your Retirement Account.
• Bonus: Competitive bonus scheme.
• Kingfisher Share Save: Save with the option to buy Kingfisher plc shares.

Application Process

1. Step 1: Send in your application via our Kingfisher Careers website.
2. Step 2: A member of the Talent Acquisition team will review your application.
3. Step 3: Telephone interview/one-to-one conversation with a recruiter.
4. Step 4: Face-to-face or virtual interview.
5. Step 5: Feedback from your recruiter and job offer details if successful.