Applied Science Manager – Computer Vision, ML

Entrust

Applied Science Manager leading a Computer Vision/ML team at Entrust, developing models for document and biometric verification. Collaborating on research and advancing data extraction technologies.

Posted 5/28/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.
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.

Benefits

Comp & perks

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.
Diversity and inclusion: 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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningcomputer visionPythonPyTorchdocument understandingvision-language modellingfew-shot learningdistillationquantisationactive learning

Soft Skills

team leadershipcommunicationcollaborationresearch publicationproduct opportunity translation