Senior ML Engineer, Doc Fraud

Join us at Entrust

At Entrust were shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible global workplace we empower careers foster collaboration and build solutions that help keep the world moving safely.

Get to Know Us

Headquartered in Minnesota Entrust is an industry leader in identity-centric security solutions serving over 150 countries with cutting-edge scalable technologies. But our secret weapon Our people. Its the curiosity dedication and innovation that drive our success and help us anticipate the future.

Senior ML Engineer - Document Extraction
Entrust (Identity Verification)

Locations:

- London (Hybrid 3 days onsite)

- Portugal (Hybrid or Remote)

Department:Engineering
Reports To:Engineering Manager
Job Type:Full-Time

The role

Were looking for a Senior Software Engineer to join our Document Fraud team where youll build products that delight customers across all our product offerings including: financial services driving verification proof of address and much more.

Our team builds the fraud detection capabilities that power identity processing government identity documents to enable secure document verification fraud prevention and seamless customer onboarding experiences.

As a Senior Software Engineer on the Document Extraction team youll focus on delivering high-accuracy extraction with global document coverage. Youll contribute to our Document Verification offering helping customers create smooth and secure onboarding experiences.

To achieve this youll leverage cutting-edge technology including VLM/LLMs and traditional ML approaches in production systems at scale tackling challenges from designing training and evaluation pipelines optimising inference for real-time extraction and integrating as part of our product offering.

The job is done when we have happy customers reaping the benefits of what modern technology allows us to do.

What Youll Do

• Work closely with Applied Science Product Design Data Science and Operations to deliver highly accurate and performant document classification and extraction solutions across thousands of documents globally.
• Lead the technical design of complex features and systems taking ownership from RFC through implementation to production deployment. Youll produce clean well-reasoned designs that leverage your experience to avoid pitfalls and age well over time.
• Build and optimize production ML systems that matter: develop repeatable pipelines for training evaluating and deploying LLM models; implement GPU optimizations for inference; design advanced labeling workflows to improve model accuracy; and engineer robust solutions that deliver measurable customer value through faster processing and more accurate extraction.
• Champion performance scalability and reliability by deeply understanding how our systems operate in production. Youll identify and tackle technical debt proactively scope and stage releases effectively to ensure smooth deployments and build metrics into features to measure success empirically.
• Drive technical excellence across the team by leading RFCs reviewing critical code holding peers accountable for quality (code review testing documentation) and making well-reasoned tradeoffs between competing priorities. Youll work with Product to prioritize features and ensure the team delivers on its commitments.
• Mentor and enable other engineers through pair programming technical guidance and collaborative problem-solving. Youll help team members deliver quality code navigate complex challenges and grow their skills.
• Coordinate solutions to cross-cutting technical problems working seamlessly across team and organizational boundaries. Youll overcome roadblocks respectfully and constructively ensuring dependencies are tracked and issues have clear owners.
• Contribute to a culture of continuous improvement psychological safety and collaboration through active participation in our squad-based organization retrospectives written documentation (RFCs DACIs) and cross-functional partnerships.

What Were Looking For

• Strong production engineering experience:Youve built deployed and operated complex systems in…