Applied Scientist I - Identity Vision & Deepfake Detection

Entrust; City Of London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leader in identity security solutions in London is seeking an Applied Scientist I to develop machine learning solutions for digital identities. You will work on innovative problems involving deepfake detection and document understanding. The role requires strong programming skills in Python and experience in machine learning. Enjoy a hybrid work model and numerous benefits, including 25 days annual leave.

Benefits

25 days annual leave plus a day off for your Birthday

Bupa Private Medical and Dental Insurance

Pension contributions

Generous paid parental leave

Life enrichment allowance

Dedicated learning opportunities

Workstation setup expenses

Qualifications

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

Responsibilities

• Design and train cutting-edge machine learning solutions related to digital identities.
• Push the frontier of research in areas such as deepfake detection and bias mitigation.
• Work with product and engineering to improve identity-focused products.

Skills

Machine learning

Computer vision

Python

PyTorch

Tools

AWS

Encord

Ray

PyTorch Lightning

Weights & Biases

Job description

A leader in identity security solutions in London is seeking an Applied Scientist I to develop machine learning solutions for digital identities. You will work on innovative problems involving deepfake detection and document understanding. The role requires strong programming skills in Python and experience in machine learning. Enjoy a hybrid work model and numerous benefits, including 25 days annual leave.