Senior Machine Learning Engineer

Kingfisher Plc; London; Hybrid; GBP 65,000 - 85,000; Full time

Job summary

A leading home improvement company in London seeks a Senior Machine Learning Engineer to develop and deploy ML/AI algorithms. The ideal candidate will support data science projects, write quality code, and engage with business stakeholders. A focus on developing robust models and a collaborative spirit are essential for success in this role. Competitive benefits and flexible working arrangements are offered.

Benefits

Private Health Care

Kingfisher Pension Scheme

25 Days' Holiday

Staff Discount

Competitive bonus scheme

Qualifications

• Solid understanding of computer science fundamentals, including data structures and software architecture.
• Experience with classical and modern Machine Learning algorithms.
• Understanding of model evaluation and data pre-processing techniques.

Responsibilities

• Develop high-quality machine learning models to solve business challenges.
• Support data science projects from start to production.
• Write comprehensive documentation.

Skills

Machine Learning

Python

SQL

Data Analysis

Education

Relevant degree in Computer Science or related field

Tools

Jupyter

Pandas

Scikit Learn

Matplotlib

Job description

We’re Kingfisher, a team of over 76,000 people bringing Kingfisher and our brands (B&Q, Screwfix, Brico Depot, Castorama and Koctas) to life. We aim to be the leading home improvement company and grow the largest community of home improvers in the world. We’re looking for a Senior 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 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 made up of over 76,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas - to life. That’s right, we’re big, but we have ambitions to become even bigger and even better. We want 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 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 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.

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 area (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

Behaviours

• Be Customer Focused – constantly improving our customers’ experience
• I listen to my customers
• I use available data to help make decisions
• Be Human – acting with humanity and care
• I do the right thing
• Be Curious – thrive on learning, thinking beyond the obvious
• I build and share new ideas
• I try new things and share my learnings
• Be Agile – working with trust, pace and agility
• I have courage to be creative
• Done is better than perfect, I aim for 80/20
• Be Inclusive – acting inclusively in diverse teams to work together
• I embrace allyship
• I have self-awareness and a desire to learn
• Be Accountable – championing the plan to deliver results and growth
• I own my actions
• I understand the Kingfisher plan and how it relates to my role

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.

#LI-TB1

What we offer

• Private Health Care – Opportunity to receive up to family level cover with AXA. Join within three months of starting or at annual renewal in April. (This 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 the end of a 3 or 5 year period. Offered annually. Three months service is required at the annual invitation date, normally in October.

Our Behaviours (summary)

Our core behaviours: Constantly improving our customer experience; Acting with humanity and care; Be curious; Thriving on learning, thinking beyond the obvious; Be inclusive; Acting inclusively in diverse teams to achieve together; Be agile; Working with trust, pace and agility; Be accountable; Championing the plan to deliver results and growth.

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.

Step 3: Interview 1 – Telephone interview/one-to-one with a recruiter.

Step 4: Interview 2 – Face-to-face or virtual interview.

Step 5: Feedback – Recruiter will contact you with feedback and, if successful, offer details.