Position Overview
We’re looking for an Applied Science Manager – Computer Vision / ML to lead a team of six applied scientists who train and evaluate vision‑language models for data extraction and develop tiny models (<5MB>
What you will be doing:
- Define the team’s roadmap together with product and engineering leads.
- Stay up‑to‑date on vision‑language modelling and efficient ML literature and translate these insights into product opportunities.
- Manage a team of 6 Applied Scientists.
- Contribute to dataset creation, model training, and evaluation code in the regular development lifecycle.
- Push the frontier of research in 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 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)
Benefits
- Career Growth: Learning opportunities and challenging projects.
- Flexibility: Remote, hybrid, or on‑site options to fit your lifestyle.
- Collaboration: A culture that encourages sharing ideas and working together.
EEO Statement
Entrust is an EEO/AA/Disabled/Veterans Employer.
Entrust values diversity and inclusion and is committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds and aim to provide an accessible experience for candidates of all abilities. If you require an accommodation, contact accessibility@entrust.com.
