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Entrust

Applied Scientist I

London
Posted 19 days ago
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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.

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.

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 a 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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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.
  • Optimise 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 optimising (distributed) training code.

Location

London, hybrid: 3 days per week in office.

Ready to Make an Impact?

If youʼre 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. Letʼs build a more secure world—together.

Apply today!

NO AGENCIES, NO RELOCATION

#ENT123

At Entrust, we don’t just offer jobs – we offer career journeys. Here is what you can expect when you join our team:

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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.

Ready to Make an Impact?

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. Letʼs build a more secure world—together.

Apply today!

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 accessibility@entrust.com.

Recruiter

Grace Rusingiza

Grace.Rusingiza@entrust.com

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Skills

Machine Learning
Computer Vision
Python
PyTorch
Deepfake Detection
Bias Mitigation
Document Understanding
Anomaly Detection
Face Matching
On-device ML
Distributed Training
Vision-Language Models

Location

London, England, United Kingdom

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