Applied Science Lead, Vision & CV (Hybrid)

Entrust Corporation; 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

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.