Senior Machine Learning Engineer

We're Kingfisher, a team of over 76,000 people bringing Kingfisher and its 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're open to flexible and agile working, with a blend of working from home and our offices in London, Southampton & 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 required 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 build and deployments, working closely with colleagues in the Data Science team as well as stakeholders across the business.

Overview

We're Kingfisher, a team of over 76,000 passionate people who bring Kingfisher - and all our brands - to life. We want to become the leading home improvement company and grow the largest community of home improvers in the world. We're open to flexible and agile working, and offer a blend of working from home and offices in London, Southampton & Yeovil. Talk to us about how we can best support you!

We value 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 belief, philosophical belief, political opinion, disability, gender identity, gender expression, or sexual orientation.

At Kingfisher, we welcome applications from all backgrounds and are committed to building an inclusive environment.

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) 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 (standardisation, normalisation, handling missing data)
• Solid understanding of statistics (summary, robust, nonparametric), hypothesis testing, probability distributions, sampling techniques, and stochastic processes

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 encourage you to apply even if you do not meet 100% of the requirements. We offer an inclusive environment with opportunities to grow and develop, and a competitive benefits package.

What we offer

Private Health Care - Up to family level cover with AXA. Join within three months of starting or at annual renewal in April. (Benefit is subject to Benefit In Kind taxation).

Kingfisher Pension Scheme - Immediate eligibility through auto-enrolment. Contribute 8% to receive a max 14% from the Company.

25 Days' Holiday - 25 days per annum plus bank holidays as stated in your contract (pro-rated for part-time colleagues).

Staff Discount - 20% discount at B&Q and Screwfix. Eligible after 3 months service.

Kingfisher Share Incentive Plan (SIP) - Share ownership in a tax-efficient way. Save between £10 to £150 per month. Join at any time once three months service is reached.

Life Assurance - x4 salary plus benefit equal to value of your Retirement Account (if an active member of KPS-MP) or x1 salary if not active member.

Bonus - Competitive bonus scheme that aligns to work level of role.

Kingfisher Share Save - Save with the option to buy Kingfisher plc shares at end of a 3 or 5 year period. Offered annually. Three months service required at the annual invitation date, normally in October.

Our Values - We are united by our six core behaviours that guide how we work together and deliver results.

Application Process

Application Process What to expect from our application process Step 1: Application

Send in your application via our Kingfisher Careers website.

Step 2: Review

A member of the Talent Acquisition team will review your application and let you know if you have progressed to the next stage.

Step 3: Interview 1

You'll then have a telephone interview/one-to-one conversation with a recruiter.

Step 4: Interview 2

You'll be invited to attend a face-to-face or virtual interview as you progress.

Step 5: Feedback

Your recruiter will be in contact with feedback and, if successful, the details of your job offer.