Applied Scientist I: Identity ML for Secure Onboarding

A leading security solutions firm in Greater London is seeking an Applied Scientist I to develop innovative machine learning solutions for digital identities. The ideal candidate will focus on deepfake detection, bias mitigation, and anomaly detection. Responsibilities include publishing research and optimizing ML models. This role offers a collaborative work environment with a hybrid model, prioritizing career growth and flexibility.
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