Mgr Applied Science

Onfido Ltd (UK); Greater London; Hybrid; GBP 110,000 - 150,000; Full time

Benefits offered by this job

Hybrid/remote flexibility

Career growth opportunities

Collaborative culture

Diversity and inclusion

Job summary

Entrust is seeking an Applied Scientist Lead - Computer Vision to guide a team of 6 scientists focused on data extraction and efficient mobile models. You will contribute hands-on about half the time, shape the roadmap with product and engineering, and advance research in vision-language understanding.

We value a track record of delivering high‑performing ML-driven products, strong Python/PyTorch skills, and leadership experience in ML teams. London/Paris hybrid options are available.

Qualifications

• 2+ years of experience leading a team of ML scientists or research engineers.
• 5+ years of industry experience as an individual contributor in a machine learning science team.
• Strong experience in machine learning and computer vision.
• Strong coding skills in Python and PyTorch.

Responsibilities

• Define the team's roadmap together with product and engineering leads.
• Stay up-to-date on vision-language modelling and efficient ML literature, translating insights into product opportunities.
• Manage a team of 6 Applied Scientists.
• Contribute to dataset creation, model training and evaluation code.
• Push research frontiers in vision-language modelling, document understanding, few-shot learning, distillation and active learning.
• Publish research results in conferences and journals.

Skills

Team leadership

ML in production

Python

PyTorch

Tools

AWS

Ray

PyTorch Lightning

Weights & Biases

Encord

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. Entrust's values are a cornerstone of who we are, our future business growth and how our people grow through it. We model our values by demonstrating that Customer Trust Is Earned, moving with purpose because Speed Is Intentional, taking accountability because We Own the Outcome, and building a collaborative culture where One Entrust Wins Together.

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.

This role will be used to promote Kevin Keraudren to the Applied Scientist Lead position to better align with the team's structure and evolving business needs. This is a critical role that will provide technical leadership, support key strategic initiatives, and help ensure the continued success and growth of the Applied Science team.

About the Company - Entrust Identity Verification:

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.

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.

What are we looking for?

• 1. Scientific Contributions: This person must shine as an example through past work and scientific drive within the team. They will continue to make direct contributions through side projects and, more often, by influencing the team’s work with unique ideas. The goal of our team is also to positively impact the broader community, so this person should stand out through external contributions such as publications, talks, and open‑source work.


• 2. Leadership & People Management: This person must be passionate about growing the people on their team. Applied Scientists often require dedicated and thoughtful support due to the inherently unpredictable nature of their work.


• 3. Product and Business Acumen: We are a product‑centric and customer‑centric company, so our work should strive to deliver meaningful product impact. This person must deeply care about both the product and the business, and excel at building long‑lasting relationships across cross‑functional teams including Product, Design, Engineering, and Analytics.

Where you will be:

London, UK or Paris, France (Hybrid – 3 days in office)

Why join us?

• 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.

Entrust is an innovative leader in identity-centric security solutions:

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.

Entrust is an EEO/AA/Disabled/Veterans Employer

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].