Eli Salter is a Machine Learning Engineer with nine years of experience blending backend software engineering and applied statistics, now based in London. After three-plus years building backend systems at Atlassian, he completed a First Class Master's in Data Science and has since focused on production ML, including optimizing retrieval-augmented generation pipelines at LanzaTech. He has practical experience across the ML lifecycle—from data cleaning and statistical analysis in healthcare research to deploying scalable inference and RAG systems in industry. Currently at Moneybox, Eli brings strong engineering rigor, a statistics-first mindset, and a track record of turning research-grade methods into robust production services. Colleagues describe him as someone who bridges meticulous software practices with experimental curiosity, making him well-suited for teams tackling high-impact, data-driven problems.
9 years of coding experience
4 years of employment as a software developer
Master of Data Science, Master of Data Science at University of Auckland
Contributions:12 PRs, 12 pushes, 13 branches in 23 days
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Eli Salter - Machine Learning Engineer at Moneybox