Machine Learning Engineer

Kingfisher plc
Charing Cross, United Kingdom
31 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Data analysis
Build Automation
Data Structures
Statistical Hypothesis Testing
Python
Logistic Regression
Machine Learning
Software Architecture
SQL Databases
Transfer Learning
Random Forest
Deep Learning
Jupyter
Pandas
Matplotlib
Scikit Learn
Information Technology
XGBoost
Recurrent Neural Networks

Job description

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 a Machine Learning Engineer 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'll 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 Focused - constantly improving our customers' experience

  • I listen to my customers
  • I use available data to help make decisions, * I own my actions

Requirements

Good communication skills

Benefits & conditions

  • I understand the Kingfisher plan and how it relates to my role 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.

About the company

We're Kingfisher, A team made up of over 76,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas - to life. That's right, we're big, but we have ambitions to become even bigger and even better. We want 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.

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