MLOps Engineer - Contract (London, Hybrid)

My client, a global fintech company disrupting the world of embedded finance, is seeking a MLOps Engineer to join their team.
It is a hybrid role and you will need to be in their London office 3 days per week (Tuesday to Thursday). Regarding daily rate, flexibility is on offer, and the company is still determining whether this is inside or outside IR35.
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 their 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 machine learning models in a dynamic production environment. You'll bridge the gap between research and deployment, ensuring the platform continues to deliver transformative results for 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.

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