Applied Science Lead, Computer Vision – Hybrid

Entrust; Greater London; Hybrid; GBP 110,000 - 150,000; Full time

Job summary

Entrust is seeking an Applied Scientist Lead in London or Paris to guide a 6-person team, advancing vision-language models for data extraction and efficient mobile-ready solutions. The role combines hands-on coding with strategic leadership in a fast-moving, product-focused environment.

You will shape ML direction, publish results, and collaborate with product, design, and engineering to deliver real-world impact.

Qualifications

• 2+ years of experience leading a team of ML scientists or research engineers.
• 5+ years of industry experience in a machine learning science team as an ML scientist or research engineer.
• 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, and translate insights into product opportunities.
• Manage a team of 6 Applied Scientists.
• Contribute to dataset creation, model training and evaluation code.
• Push research in vision-language modelling, document understanding, few-shot learning, distillation, quantisation and active learning.
• Publish research results in national and international conferences and journals.

Skills

Leadership

Machine learning

Computer vision

Python

PyTorch

Cross-functional collaboration

Tools

AWS

Ray

PyTorch Lightning

Weights & Biases

Encord

Job description

Entrust is seeking an Applied Scientist Lead in London or Paris to guide a 6-person team, advancing vision-language models for data extraction and efficient mobile-ready solutions. The role combines hands-on coding with strategic leadership in a fast-moving, product-focused environment.

You will shape ML direction, publish results, and collaborate with product, design, and engineering to deliver real-world impact.