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Senior Machine Learning Engineer

Kingfisher plc
Contract
Remote friendly (London)
United Kingdom
£80,000 - £100,000 GBP daily

We're Kingfisher, a team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctasto life. Guided by our purpose: Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement.

This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking 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 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
What is the job
  • 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 data and assess model performance
  • Ability to work collaboratively, communicate clearly and deliver work to agreed outcome
How We Work

We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at off site locations. On average within our Engineering team - 40% of your time involves in person collaboration.

We value the perspectives new team members bring and encourage you to apply - even if you don't meet 100% of the requirements.

What We Offer

An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace 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. Scroll down below to find out more about our benefits.

Diversity & Inclusion

Our customers come from all walks of life - and so do we. We're committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation.

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

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
  • 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
Training & Development

There are so many ways you can grow, learn, and develop here at Kingfisher. At whatever pace suits you.

Conversations with senior leaders Resources and tools to help you grow

Improving without instruments to help you learn is near impossible. That's why we make sure you have everything at your fingertips to find exactly what you need to keep growing.

Initiatives that measure development

With plans that ask you what you want to achieve and when you want to achieve them by, tracking progress and keeping development at the forefront of conversation is easy.

Find your path

The scale of group functions within Kingfisher is huge. That means you have the chance to build different career paths within multiple areas of the organisation.

Sharing is caring

We aren't selfish here at Kingfisher. Whatever your level of experience, you'll work with colleagues who are always welcoming and ready to share their knowledge whenever you need it.

Reach for the stars

So your ambitions are high? Good thing we have opportunities to find experiences in line with more senior roles and responsibilities. Here, you can evolve your career, no matter your level.

Why Kingfisher

We're an innovative, international retailer on a journey to actively make a difference. Always striving to take that next step. You can be part of the difference. From bottom to top you can progress in a collaborative environment. So, why not Kingfisher?

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 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!