Applied Scientist Lead - Computer Vision

Entrust Identity Verification — Powering the systems behind digital trust.

At Entrust, identity is no longer a compliance checkbox—it’s a real-time product problem shaped by machine learning, adversarial behavior, and high-stakes decisions. Every verification is a trade-off between fraud prevention, user experience, speed, and trust—and getting it right determines whether a legitimate user gets access or a sophisticated attacker gets stopped.

Our Identity portfolio (formerly Onfido) powers document and biometric verification, fraud detection, and identity decisions at global scale. From detecting deepfakes to enabling seamless onboarding, our ML systems sit directly on the critical path of digital trust—used by banks, fintechs, marketplaces, and enterprises worldwide.

About the Team:

You’ll join a high-caliber Applied Science group (~20+ scientists) working at the intersection of machine learning, product, and real-world constraints. The team is supported by a state-of-the-art ML Ops ecosystem (AWS, Encord, Ray, PyTorch Lightning, Weights & Biases) and partners closely with product and engineering to ship models into production at scale. This is applied research in its truest sense: advancing the frontier while delivering systems that must be accurate, fast, fair, and resilient in adversarial environments. The team is supported by a state-of-the-art ML Ops ecosystem (AWS, Encord, Ray, PyTorch Lightning, Weights & Biases) and a massive proprietary dataset of images and videos. The team partners closely.

Position Overview:

We’re looking for an Applied Scientist Lead - Computer Vision to lead one of our Applied Science teams at Entrust. You will lead a team of 6 applied scientists that trains and evaluates vision-language models for data extraction on one side, and efficient models (<5MB) that run on mobile devices on the other. The ML space here is exciting: better vision-language models enable better and more general extraction, and techniques like distillation and quantisation allow models to become smaller and smaller. We expect this role to be hands-on for about 50% of your time—making contributions to the codebase helps you deliver better feedback as well.

What you will be doing:

• Define the team's roadmap together with product and engineering leads.
• Stay up-to-date on the vision-language modelling and efficient ML literature, and translate these insights into product opportunities.
• Manage a team of 6 Applied Scientists.
• Contribute to the regular development lifecycle by contributing to dataset creation, model training and evaluation code.
• Push the frontier of research in areas such as vision-language modelling, document understanding, few-shot learning, distillation, quantisation, and active learning.
• Publish research results in national and international conferences and scientific journals.

You may be a good fit if you:

• Have 2+ years of experience leading a team of ML scientists or research engineers.
• Have 5+ years of industry experience as an individual contributor in a machine learning science team, either as an ML scientist or research engineer.
• 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.

Strong candidates may also have:

• Technical experience in one or more of the following areas: document understanding, vision-language modelling, few-shot learning, distillation, quantisation and active learning.
• Published at top-level machine learning conferences.
• Experience optimizing (distributed) training code.

Where you will be: London, UK (Hybrid – 3 days in office)

Why join us? Solve problems that matter—at scale.

At Entrust, we combine cutting-edge research with a deeply product-oriented culture—where ideas don’t stop at papers, they power systems used by millions. Our products sit on the front lines of digital trust, tackling visual fraud at scale—from deepfakes and synthetic identities to sophisticated spoofing attacks.

You’ll lead teams, shape ML direction, and build models that must perform in the real world—under adversarial conditions, across global systems, and with real consequences. If you’re motivated by turning advanced research into production-grade systems—and pushing the frontier while doing it—this is the kind of work worth doing.

Apply today!

NO AGENCIES, NO RELOCATION

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Updated 5/21/2026

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

• 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. Let’s build a more secure world—together.