My client, a global fintech company disrupting the world of embedded finance, is seeking a MLOps Engineer to join their team.
This is paying a market leading salary + benefits. It is a hybrid role and you will need to be in their London office 3 days per week (Tuesday to Thursday).
Company overview : A global embedded financing platform for many of the world’s leading e-commerce sites, tech companies and payment services. Their software platform and APIs enable our partners to offer flexible financing products, in their desired branding, to their merchant base
Role overview : As an ML Ops Engineer, you'll be the architect of robust processes to streamline and maintain our machine learning models in a dynamic production environment. You'll bridge the gap between research and deployment, ensuring our platform continues to deliver transformative results for our development partners.
Requirements :
- ML in Practice : Proven experience building and maintaining operational ML systems.
- Python Proficiency : Strong Python coding skills and familiarity with relevant ML/data engineering libraries.
- DevOps Mindset : Understanding of CI/CD principles, containerisation (Docker, Kubernetes), and version control (Git).
- Problem-Solving Approach : Ability to troubleshoot issues in complex ML pipelines and proactively address potential bottlenecks.
