Entrust

Identity-centric security solutions

AppliedScientistLead-ComputerVision

£115–165k ~AI est. London, United Kingdom; Paris, France FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Applied Scientist Lead - Computer Vision at Entrust. Skills: Computer Vision, Machine Learning, Applied Science, Team Leadership. Define team roadmap. Stay up-to-date on literature”

What You'll Achieve.

Deliver systems that are accurate; Deliver systems that are fast; Deliver systems that are fair; Deliver systems that are resilient; Deliver meaningful product impact

Industry & Context.

Identity centric security solutions
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

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, Experience in machine learning and computer vision, Record of successfully delivering high-performance ML-driven products, Deep understanding of machine learning theory, Coding skills in Python and PyTorch

Nice to Have

Technical experience in document understanding, Technical experience in vision-language modelling, Technical experience in few-shot learning, Technical experience in distillation, Technical experience in quantisation, Technical experience in active learning, Published at top-level machine learning conferences, Experience optimizing (distributed) training code

What You'll Do.

Stay up-to-date on literature

Translate insights into product opportunities

Manage a team of 6 Applied Scientists

Contribute to dataset creation

Contribute to model training

Contribute to evaluation code

Push research frontier

Publish research results

How You'll Work.

Team & Collaboration

Product and engineering leads; Cross-functional teams

Communication Scope

External contributions; Publications; Talks; Open-source work

Process & Methodology

Roadmap planning

Full 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 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 - C

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