Senior ML Engineer - Document Extraction (Hybrid/Remote)

Senior ML Engineer - Document Extraction (Hybrid/Remote)

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Entrust Corporation

At a Glance

  • Tasks: Lead the design and optimisation of document extraction systems using machine learning.
  • Company: Join Entrust, a forward-thinking company at the forefront of ML technology.
  • Benefits: Enjoy flexible hybrid/remote work options and competitive salary packages.
  • Other info: Dynamic role with opportunities for growth in a supportive environment.
  • Why this job: Make a real impact in secure onboarding and fraud prevention with cutting-edge ML.
  • Qualifications: Proven experience in machine learning and strong collaboration skills.

The predicted salary is between 70000 - 90000 £ per year.

Entrust is seeking a Senior ML Engineer to advance document extraction across our products, combining ML research with production systems. You will own end‑to‑end design, collaborate with data science and product teams, and optimize pipelines for global document coverage while supporting secure onboarding and fraud prevention initiatives. The role is London‑hybrid with additional Portugal options, offering flexible remote/hybrid arrangements.

Senior ML Engineer - Document Extraction (Hybrid/Remote) employer: Entrust Corporation

Entrust is an exceptional employer, offering a dynamic work environment in London or Lisbon where innovation meets inclusivity. With a strong focus on employee growth and flexible working options, you will have the opportunity to contribute to impactful identity and security systems while collaborating with a supportive team that values diverse perspectives. Join us to influence architecture and technical direction in a high-performing culture that prioritises work-life balance and continuous learning.

Entrust Corporation

Contact Details:

Entrust Corporation Recruitment Team

We think you need these skills to ace Senior ML Engineer - Document Extraction (Hybrid/Remote)

Machine Learning
Document Extraction
End-to-End Design
Collaboration with Data Science Teams
Pipeline Optimization
Global Document Coverage
Secure Onboarding