Machine Learning Engineer
Machine Learning Engineer
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Job Description
Overview
Were Kingfisher A team made up of over 82000 passionate people who bring Kingfisher and all our other brands: B&Q Screwfix Brico Depot Castorama and Koctas to life. Thats right were 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 thats 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 a Machine Learning Engineers at Senior and Mid Level to join our growing team to develop and deploy core ML/AI algorithms 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.
Whats the job
- Develop highquality 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 youll 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) stateoftheart research area e.g. NLP Transfer Learning etc) and modern Deep Learning algorithms e.g. BERT LSTM etc)
- Solid knowledge of SQL and Pythons ecosystem for data analysis Jupyter Pandas Scikit Learn Matplotlib etc)
- Understanding of model evaluation data preprocessing 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
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 selfawareness 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
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.
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Employment Type
Unclear
