Machine Learning Engineer

 

Description:

We are looking for a 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 build and deployments, working closely with colleagues in the Data Science team as well as stakeholders across the business.

 

What's the job:

  • 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

 

What you will bring:

  • 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

Be Customer Focusedconstantly 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
  • I am respectful

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

Organization Women in Data®
Industry Engineering Jobs
Occupational Category Machine Learning Engineer
Job Location London,UK
Shift Type Morning
Job Type Full Time
Gender No Preference
Career Level Intermediate
Experience 2 Years
Posted at 2025-06-17 3:19 pm
Expires on 2026-01-07