Applied Scientist

Onfido; Camden Town; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A technology firm specializing in digital identities is seeking a Senior Applied Scientist. The role involves designing machine-learning solutions and working on challenges like deepfake detection and document understanding. Strong experience in machine learning and proficiency in Python/PyTorch is required. The position offers a hybrid work model with a focus on career growth and flexibility.

Benefits

25 days annual leave plus a birthday day off

Bupa Private Medical and Dental Insurance

Life enrichment allowance

Dedicated learning opportunities

Generous paid parental leave

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.
• Care about building fair and cutting-edge machine-learning products.

Responsibilities

• Design and train machine-learning solutions for digital identities.
• Implement bias-mitigation strategies for models.
• Train and benchmark large-scale models for document extraction.
• Optimize adapter latency and improve model training speed.
• Create large-scale datasets for fraud detection.

Skills

Machine learning

Computer vision

Python

PyTorch

Tools

AWS

Encord

Ray

PyTorch Lightning

Weights & Biases

Job description

We are looking for a Senior Applied Scientist to design and train cutting‑edge machine‑learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection, and efficient on‑device ML.

What you will be doing:

Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on‑device ML.

Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world‑class identity‑focused products.

Representative work:

• Implement bias‑mitigation strategies to build fair face‑matching and deepfake‑detection models.
• Train and benchmark large‑scale vision‑language models for document extraction. Train a multi‑modal document‑understanding model from scratch using synthetic data.
• Optimize LoRA adapter latency in PEFT / Triton.
• Profile, debug and improve model training speed on multiple GPUs.
• Create a large‑scale dataset for deepfake detection.
• Experiment with multimodal models to detect fraud.

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.
• Care about building fair and cutting‑edge machine‑learning products.

Strong candidates may also have:

Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on‑device ML.

About the Team:

You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI‑powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government‑issued identity documents and facial biometrics using state‑of‑the‑art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely.

The Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state‑of‑the‑art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base.

We offer:

• Career Growth: Whether you're a budding developer or a seasoned expert, we're invested in your professional journey. With learning‑forward initiatives and exciting challenges, your growth is our priority.
• Flexibility: Life is all about balance. Whether you're remote, hybrid, or on‑site, we offer flexible options that fit your lifestyle.
• Collaboration: Your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow.
• Diversity & Inclusion: We are passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect, with unconscious bias training for leaders and global affinity groups.

Location & Benefits (UK)

Location: London, UK (hybrid model, 3 days in‑office per week).

Benefits:

• 25 days annual leave plus a birthday day off.
• Two paid volunteering days per year.
• Bupa Private Medical and Dental Insurance.
• Pension with The People's Pension (employer contribution 4% of base salary).
• Generous paid parental leave.
• Life enrichment allowance up to £80 per month for gym, yoga, fitness classes, massages, childcare, and therapy.
• Dedicated learning opportunities (LinkedIn Learning, books, coaches, conferences, courses, podcasts).
• Global weekly roundup (OnThursday) and quarterly team socials.

How to Apply

If you’re excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference and let's build a more secure world—together.