Machine Learning Engineer...

We’re Kingfisher, a team made up of over 82,000
passionate people who bring Kingfisher - and all our other brands:
B&Q, Screwfix, Brico Depot, Castorama, and Koctas - to life. We
have ambitions 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 Machine Learning Engineers at Senior and Mid Level 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 builds 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 areas
  (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 Core
  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
  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. What we offer - Private Health Care:
  Opportunity to receive up to family level cover with Bupa. -
  Kingfisher Pension Scheme: Immediate eligibility through
  auto-enrolment. - 25 Days' Holiday: 25 days per annum plus bank
  holidays. - Staff Discount: 20% discount at B&Q and Screwfix. -
  Kingfisher Share Incentive Plan (SIP): Share ownership in a
  tax-efficient way. - Life Assurance: x4 Salary plus benefit equal
  to value of your Retirement Account. - Bonus: Competitive bonus
  scheme. - Kingfisher Share Save: Save with the option to buy
  Kingfisher plc shares. Application Process 1. Step 1: Send in your
  application via our Kingfisher Careers website. 2. Step 2: A member
  of the Talent Acquisition team will review your application. 3.
  Step 3: Telephone interview/one-to-one conversation with a
  recruiter. 4. Step 4: Face-to-face or virtual interview. 5. Step 5:
  Feedback from your recruiter and job offer details if successful.
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