Applied Scientist I: Identity ML for Secure Onboarding

Entrust; Greater London; Hybrid; GBP 60,000 - 85,000; Full time

Benefits offered by this job

Career growth opportunities

Flexible work options

Collaborative team environment

Job summary

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.

Qualifications

• Strong experience in machine learning and computer vision.
• Proven track record of high-performance ML-driven product delivery.
• Deep understanding of machine learning theory.
• Strong coding skills in Python and PyTorch.
• Commitment to building fair, cutting-edge ML products.

Responsibilities

• Design and train machine learning solutions for digital identities.
• Research in deepfake detection and anomaly detection.
• Work with product engineering to improve identity-focused products.

Skills

Machine learning

Computer vision

Python

PyTorch

Fair machine learning products

Job description

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.