At a Glance
- Tasks: Build scalable ML pipelines and support product teams with best MLOps practices.
- Company: Fast-growing fintech unicorn in Greater London with a collaborative culture.
- Benefits: Flexible working environment, competitive compensation, and growth opportunities.
- Other info: Perfect for tech-savvy individuals looking to innovate in a remote-ready role.
- Why this job: Join a dynamic team and make an impact in the exciting world of fintech.
- Qualifications: Strong data engineering skills in Python and experience with distributed processing.
The predicted salary is between 60000 - 80000 £ per year.
Cleo in Greater London is seeking a data engineering expert to support product teams in achieving their objectives while advocating for best practices in MLOps. Your role will involve building scalable data and ML solutions and serving as a bridge between product development and platform operations.
The ideal candidate will possess strong skills in data engineering, particularly in Python, and experience with distributed processing.
The position offers a flexible working environment, competitive compensation, and a collaborative culture at a fast-growing fintech unicorn.
Remote-Ready MLOps Engineer: Build Scalable ML Pipelines employer: cleo
Cleo is an exceptional employer that prioritises the financial health of its users while fostering a collaborative and innovative work culture. With flexible hybrid working options and a competitive salary, employees are encouraged to grow through mentorship and cross-functional teamwork, making it a rewarding place for those passionate about machine learning and impactful solutions.
