Machine Learning Engineer

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 providers such as Amazon, eBay, Shopify, Mollie, Dojo, Paysafe, Just Eat Takeaway and Takepayments.
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 MLOps 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.