Applied Scientist I (Machine Learning)

Location: London, United Kingdom; hybrid with 3 days per week in the office

Company

hirify.global develops identity-centric security solutions, including AI-powered digital identity verification products for secure remote customer onboarding.

What you will do

• Design and train machine learning solutions for digital identity products.
• Research deepfake detection, bias mitigation, fraud and anomaly detection, face matching, document understanding, and efficient on-device ML.
• Train and benchmark large-scale vision-language and multimodal models for document extraction and fraud detection.
• Optimize model training speed, LoRA adapter latency, and distributed multi-GPU workloads.
• Create large-scale datasets and publish research results in conferences and scientific journals.
• Collaborate with product and engineering teams to improve and deploy identity-focused products.

Requirements

• Strong experience in machine learning and computer vision.
• Strong coding skills in Python and PyTorch.
• Deep understanding of machine learning theory.
• Experience delivering high-performance ML-driven products.
• Commitment to building fair and cutting-edge machine learning products.
• Ability to work from the London office 3 days per week; relocation is not offered.

Nice to have

• Technical experience in face matching, bias mitigation, anomaly detection, document understanding, or on-device ML.
• Publications at top-level machine learning conferences.
• Experience optimizing distributed training code.

Culture & Benefits

• Career growth through learning-focused initiatives and challenging projects.
• Flexible workplace options supporting work-life balance.
• Collaborative environment focused on sharing ideas and solving problems together.
• Commitment to diversity, inclusion, accessibility, and respectful collaboration.