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Machine Learning Engineer
Kingfisher plc
- London, England, United Kingdom
- London, England, United Kingdom
Über
At Минине 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 homeษ and our offices, located in London, Southampton & Yeovil. Talk to us about how we can best support you!
London, Southampton & Yeovil.
This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will help shape how millions of customers and colleagues experience our products, services and decision making across our retail brands.
You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools, processes and practices that accelerate the use of artificial intelligence across the organisation.
Key Accountabilities / 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
Qualifications
Good understanding of computer science fundamentals, including data structures, algorithms and software design
Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural language processing and deep learning
Strong Python skills and experience with common 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 improving performance in a production environment
Familiarity with tools and practices for deploying models, ideally including Git, CI workflows and containerisation
Comfortable working with statistical concepts to interpret dataказы and assess model performance
kiedy to work collaboratively, communicate clearly and deliver work to agreed outcome
Benefits Private Health Care Opportunity to receive up to family level cover with AXA rydym join within three months of starting or at annual-me female 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 ಅಮ shares at the end of a 3 or 5 year period. Offered annually. Three months service is required at ekonomik invitation date, normally in October.
pamam behaviours At Kingfisher, we are united by our 6 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 Zend Acquisition team will then review your application, let you know if you have progressed to the next stage of the process.
Step 3: Interview 1 You’ll then have a telephone interview/one to one conversation with a recruiter.
Step 4: Interview 2 As you progress, you’ll be invited to attend a face‑to‑face or virtual interview.
Step 5: Feedback Your recruiter will be in contact with feedback and, if successful, the details of your job offer!
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Sprachkenntnisse
- English
Hinweis für Nutzer
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