At a Glance
- Tasks: Build and optimise systems for training and deploying machine learning models.
- Company: Checkout.com, a leading fintech company in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting projects with a focus on innovation and scalability.
- Why this job: Join a dynamic team and make an impact on real-time dispute processing.
- Qualifications: Experience in MLOps and strong skills in data pipeline construction.
The predicted salary is between 60000 - 80000 £ per year.
Checkout.com in London is seeking an experienced MLOps/ML Engineer to build systems for training, deploying and monitoring models used in our Disputes platform at scale. You will design data pipelines and backend services to process dispute data in real time and contribute to a scalable feature store for use-cases both online and offline.
Take ownership of end-to-end features from refining requirements, data pipeline construction and model training to troubleshooting and production deployment.
We think you need these skills to ace Senior ML Engineer - End-to-End Features Platform
Python
SQL
Problem-Solving Skills
Data Engineering
Data Pipeline Development
API Integration
Communication Skills
