Description
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.
Additional Information:
This is a hybrid role requiring presence in the London office 3 days per week (Tuesday to Thursday). Flexibility on daily rate is available; determination on whether this position is inside or outside IR35 is still pending.