Applied Scientist I: Vision & Identity ML

Applied Scientist I: Vision & Identity ML

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Entrust

At a Glance

  • Tasks: Design and train ML solutions for digital identities, including deepfake detection and bias mitigation.
  • Company: Join Entrust, a leader in identity-focused technology in London.
  • Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on fairness and high-performance products.
  • Why this job: Make a real impact on digital identity solutions with cutting-edge ML research.
  • Qualifications: Strong ML and CV fundamentals, plus Python/PyTorch coding skills required.

The predicted salary is between 60000 - 80000 £ per year.

Entrust is seeking an Applied Scientist I in London to design and train ML solutions for digital identities, including deepfake detection, bias mitigation, and document understanding.

You will contribute to state‑of‑the‑art research and collaborate with product and engineering to advance identity‑focused offerings.

Role emphasizes strong ML and CV fundamentals, Python/Py Torch coding, and a bias‑aware approach to building fair, high‑performance products. Hybrid work in London is offered.

#J-18808-Ljbffr

Applied Scientist I: Vision & Identity ML employer: Entrust

Entrust is an exceptional employer that prioritises employee growth and development, offering professional learning opportunities tailored to enhance your skills as a Systems Integrator. With a flexible work environment that supports remote, hybrid, or on-site options, you will thrive in an inclusive and collaborative culture that values diversity and encourages innovation. Join us to make a meaningful impact while working with cutting-edge identity and security solutions in a dynamic team setting.

Entrust

Contact Details:

Entrust Recruitment Team

We think you need these skills to ace Applied Scientist I: Vision & Identity ML

Python
SQL
Communication Skills
Problem-Solving Skills
Attention to Detail
Automation
Data Engineering