Wise moves billions across borders every year. As a Staff Applied ML Engineer in the Risk ML team, you will define architecture strategy, ship production neural models, and build scalable blueprints for financial crime detection.
This greenfield opportunity empowers you to shape Wise's ML foundation with senior leadership support. You will work in Risk Modelling, collaborating with data scientists and platform engineers to deploy end-to-end ML solutions and measure impact in real-time financial
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Staff Applied ML Engineer: Financial Crime Risk Leader in London employer: Wise
Wise is an exceptional employer that fosters a culture of inclusivity and innovation, making it an ideal place for a Lead ML / Data Scientist to thrive. With a hybrid working model, generous personal development budgets, and a commitment to employee growth, you will have the flexibility and resources to excel in your role while contributing to meaningful projects that redefine how money moves globally.
