Python Machine Learning Engineer – Core ML/AI Tooling Team – Ultra-Large Data Analytics

Overview

In this role you will help build and scale AI/ML capabilities for a global fintech, focusing on productionising models and delivering impactful data-driven solutions. You will work with a high-caliber team to deploy Python-based systems that serve thousands of users worldwide. The role combines research and engineering to bring state-of-the-art NLP and ML into production. This is a unique opportunity to influence AI tooling at scale within a fast-moving, innovation-driven company.

Responsibilities

• Research and build AI/ML systems for global deployment
• Productionise machine learning and NLP models
• Code primarily in Python and maintain robust OOP practices
• Deliver scalable solutions that serve thousands of users globally

Key requirements

• Masters/MSc or PhD in machine learning, AI, computer science or related STEM field
• Excellent object-oriented Python engineering skills
• Experience building and/or productionising ML models
• Experience with ultra-large datasets (Nice to have)
• Experience facing-off to researchers or data scientists (Nice to have)
• Strong grounding in computer science fundamentals (Nice to have)
• Python (OOP)
• Productionising ML models
• NLP models
• Experience with ultra-large datasets

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