Applied Scientist I - Computer Vision

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

Join us at Entrust

At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely.

Get to Know Us

Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting‑edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future.

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.

Our 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.

Position Overview:

We are looking for an Applied Scientist I 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/or efficient ML.

What you will be doing:

• Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, facematching, 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.

You may be a good fit if you:

• Have strong experience in machine learning and computer vision.
• Have a strong record of successfully delivering high‑performance ML‑driven products.
• Have a deep understanding of machine learning theory.
• Have 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.
• Published at top‑level machine learning conferences.
• Experience optimizing (distributed) training code.

Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in‑office presence three days per week.

Benefits UK

• 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 The People’s Pension (employer contribution 4% of base salary).
• Generous paid parental leave.
• Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy.
• Dedicated learning opportunities including using tools like LinkedIn Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more.
• Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company‑wide social events.
• Expense up to £300 (or local equivalent) to purchase workstation setup equipment.
• The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups.

Ready to Make an Impact?

If you’re excited by the prospect of working on cutting‑edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Let’s build a more secure world—together.

Apply today!

NO AGENCIES, NO RELOCATION

#LI-GR1

#ENT123

• 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: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow.

We believe in securing identities—but it doesn’t stop there. At Entrust, we’re passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we’re creating a community where everyone is encouraged to be themselves.

For more information, visit www.entrust.com. Follow us on LinkedIn, Facebook, Instagram, and YouTube.

For US roles, or where applicable, Entrust is an EEO/AA/Disabled/Veterans Employer.

For Canadian roles, or where applicable, Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities.

If you require an accommodation, contact [e-mail].

Recruiter:

Grace Rusingiza

[e-mail]

Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI‑enabled security offerings. We enable organizations to safeguard their operations, evolve without compromise, and protect their interactions in an interconnected world – so they can transform their businesses with confidence. Entrust supports customers in 150+ countries and works with a global partner network, we are trusted by the world most trusted organizations.