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 potential for career advancement in a fast-paced environment.
- 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.
Senior ML Engineer - End-to-End Features Platform in London employer: Checkout.com
Checkout.com is an exceptional employer that champions a flexible hybrid working model, allowing employees to balance their professional and personal lives effectively. With a strong emphasis on growth and collaboration, the company provides ample opportunities for career development while working alongside talented teams in the dynamic financial services sector in London. Joining Checkout.com means being part of a forward-thinking organisation that values compliance and innovation in payments and product regulation.
