Senior Applied Scientist: Computer Vision & Identity

Entrust Datacard; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading identity security firm in Greater London is seeking a Senior Applied Scientist to design and develop advanced machine learning solutions focused on digital identities. The successful candidate will engage in deepfake detection and bias mitigation while working with innovative technologies in a collaborative environment. The role requires strong expertise in machine learning and computer vision, with flexibility for hybrid working. Competitive benefits include generous leave and professional growth opportunities.

Benefits

25 days annual leave plus a day off for your Birthday

Two paid volunteering days per year

Bupa Private Medical and Dental Insurance

Pension with employer contribution

Generous paid parental leave

Life enrichment allowance

Dedicated learning opportunities

Expense support for workstation setup

Qualifications

• Strong experience in machine learning and computer vision.
• Successful delivery of high-performance ML-driven products.
• Deep understanding of machine learning theory.
• Strong coding skills in Python and PyTorch.

Responsibilities

• Design and train machine learning solutions related to digital identities.
• Push research boundaries in areas like deepfake detection and bias mitigation.
• Work with product and engineering teams to enhance world-class identity products.

Skills

Machine learning

Computer vision

Python

PyTorch

Job description

A leading identity security firm in Greater London is seeking a Senior Applied Scientist to design and develop advanced machine learning solutions focused on digital identities. The successful candidate will engage in deepfake detection and bias mitigation while working with innovative technologies in a collaborative environment. The role requires strong expertise in machine learning and computer vision, with flexibility for hybrid working. Competitive benefits include generous leave and professional growth opportunities.