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 in London employer: cleo
Cleo is an exceptional employer located in Greater London, offering a dynamic and flexible working environment that fosters collaboration and innovation. As a fast-growing fintech unicorn, we prioritise employee growth through continuous learning opportunities and a culture that values best practices in MLOps. Join us to be part of a team that not only drives impactful projects but also supports your professional development in the exciting world of data engineering.
