Machine Learning Engineer

• As a Machine Learning Engineer at Moneyhub, you'll bridge the gap between data science and software engineering. You'll be responsible for developing production-ready data solutions that solve real user problems—focusing on delivering working code rather than just analysis or prototypes.
• What You'll Work On:
• - Data Enrichment Systems: Build and maintain systems that enhance raw financial data, including our transaction categorisation engine that underpins budgeting capabilities and affordability checking services
• - Production-Ready Solutions: Transform data science concepts into robust, high-performance code that can handle our production workloads
• - Pragmatic Algorithm Development: Create and optimize algorithms using the most appropriate techniques to solve specific user problems
• - Data-Driven Product Innovation: Collaborate with product teams to translate business requirements into technical solutions that enrich financial data
• - User Insights: Analyze user characteristics and segmentation to support business decisions and product development

Machine Learning Engineer

Machine Learning Engineer

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Founding Machine Learning Engineer

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