Senior Machine Learning Engineer

Overview

We're Kingfisher, a team of over 74,000 passionate people driving the purpose of "Better Homes. Better Lives. For Everyone." The role is for a Senior Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will influence how millions of customers and colleagues experience our products, services and decision making across our retail brands.

Key Responsibilities

• Develop machine learning models and support their deployment into production
• Write production quality code that is robust, efficient and maintainable
• Contribute to the implementation and improvement of pipelines, tooling and automation
• Apply good engineering standards and practices in model development
• Monitor performance and contribute to ongoing optimisation of models
• Work with colleagues to understand requirements and priorities
• Share knowledge, contribute ideas and support a collaborative team culture

Requirements & Qualifications

• Good understanding of computer science fundamentals, including data structures, algorithms and software design
• Experience with classical machine learning techniques and familiarity with modern approaches such as natural language processing and deep learning
• Strong Python skills and experience with libraries such as Pandas, scikit learn and Jupyter
• Experience working with SQL and data pipelines to prepare and transform data for model training
• Understanding of model evaluation, monitoring and improvement in a production environment
• Familiarity with tools and practices for deploying models, including Git, CI workflows and containerisation
• Comfortable working with statistical concepts to interpret data and assess model performance
• Ability to work collaboratively, communicate clearly and deliver work to agreed outcomes

How We Work

We believe in flexibility and balance. Our hybrid model blends home working for focused effort with time spent connecting and collaborating in our offices or off site locations. On average, 40% of your time will involve in person collaboration within the engineering team.

Diversity & Inclusion

We're committed to ensuring all colleagues, future colleagues, and applicants are treated equally, irrespective of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation.

Benefits 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 maximum 14% from the Company.

25 Days' Holiday

25 days per annum plus bank holidays as stated in your contract (prorated 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 the value of your Retirement Account (if an active member of KPS MP) or x1 Salary if not an active member.

Bonus

Competitive bonus scheme that aligns to the work level of the 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.

Application Process

Step 1: Submit your application via the Kingfisher Careers website. Step 2: The Talent Acquisition team will review your application and let you know if you have progressed. Step 3: Telephone or one to one interview with a recruiter. Step 4: Face to face or virtual interview. Step 5: Feedback and details of a job offer if successful.