At a Glance
- Tasks: Design and train ML solutions for digital identities, focusing on deepfake detection and bias mitigation.
- Company: Join Entrust, a leader in secure onboarding and digital identity solutions.
- 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 in the world of digital identities with cutting-edge technology.
- 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.
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Applied Scientist I — Vision & Identity ML for Secure Onboarding 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.
