At a Glance
- Tasks: Join the Document Fraud team to build cutting-edge document extraction solutions.
- Company: Entrust, a leader in identity verification and security solutions.
- Benefits: Flexible work options, career growth opportunities, and a collaborative culture.
- Other info: Embrace diversity and inclusion in a supportive work environment.
- Why this job: Make a real impact on secure onboarding experiences using advanced ML technologies.
- Qualifications: Strong production engineering experience and hands-on LLM/ML systems expertise.
The predicted salary is between 70000 - 90000 £ per year.
Locations: London (Hybrid, 3 days onsite); Portugal (Hybrid or Remote)
Department: Engineering
Reports To: Engineering Manager
Job Type: Full-Time
The Role
We are looking for a Senior Software Engineer to join the Document Fraud team, building products that support customers across our offerings, including financial services, driving verification, proof of address, and more. Our team develops fraud-detection capabilities that power identity, processing government identity documents to enable secure document verification, fraud prevention, and smooth customer onboarding experiences.
As a Senior Software Engineer on the Document Extraction team, you will deliver high-accuracy extraction with global document coverage. You will contribute to our Document Verification offerings to help customers create secure onboarding experiences. To achieve this, you will leverage technology such as VLM/LLMs and traditional ML approaches in production systems at scale, tackling challenges from designing training and evaluation pipelines, optimizing inference for real-time extraction, and integrating as part of our product offering.
The job is done when customers experience the benefits of modern technology.
What You’ll 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, owning RFC through implementation to production deployment. Produce clean, well-reasoned designs that avoid pitfalls and age well over time.
- Build and optimize production ML systems: develop repeatable pipelines for training, evaluating, and deploying LLM models; implement GPU optimizations for inference; design advanced labeling workflows to improve model accuracy; engineer robust solutions delivering measurable customer value through faster processing and more accurate extraction.
- Champion performance, scalability, and reliability by understanding how our systems operate in production; identify and tackle technical debt, scope and stage releases for smooth deployments, and build metrics to measure success empirically.
- Drive technical excellence by leading RFCs, reviewing critical code, ensuring quality through testing and documentation, and balancing priorities. Collaborate with Product to prioritize features and commitments.
- Mentor and enable other engineers through pair programming, technical guidance, and collaborative problem-solving to deliver quality code and grow team skills.
- Coordinate cross-cutting technical work across teams and org boundaries; track dependencies and assign clear owners to issues.
- Contribute to a culture of continuous improvement, psychological safety, and collaboration through squad-based organization, retrospectives, RFCs, DACIs, and cross-functional partnerships.
What We're Looking For
- Strong production engineering experience: Built, deployed, and operated complex systems in production with emphasis on observability, reliability, performance, and scale.
- Hands-on LLM/ML systems experience: Production experience with LLMs, fine-tuning, inference pipelines, latency/cost optimization, or evaluation; familiarity with TensorFlow, PyTorch, or Triton; capable of productionizing ML.
- Technical depth and breadth: T-shaped with deep expertise in at least one area and broad software engineering knowledge.
- End-to-end ownership: Manage projects from idea to design, implementation, and production with minimal oversight.
- Tech stack: Python-based services (plus Ruby and TypeScript), deployed on AWS with Kubernetes; comfortable building production services in Python and understanding cloud infrastructure.
- Strong judgment and initiative: Make sound technical decisions in ambiguity, take initiative across multiple areas, and coordinate cross-team solutions.
- Mentorship and collaboration: Enable others, provide constructive code reviews, and foster team spirit.
- Pragmatic problem-solving: Identify and address technical debt, seek empirical validation, balance short-term needs with long-term architecture, and articulate scalability and reliability constraints.
What We Offer
- Career Growth: We invest in your professional journey with learning-forward initiatives and challenging opportunities.
- Flexibility: Remote, hybrid, or on-site options to suit your lifestyle.
- Collaboration: Your voice matters and teams work together to build a better tomorrow.
Diversity, Inclusion, and Accessibility
Entrust prioritises diversity, inclusion, and respect. We provide unconscious bias training for leaders and global affinity groups to connect colleagues worldwide. If you require an accommodation, contact accessibility@entrust.com.
EEO/AA/Disabled/Veterans Employer
Senior ML Engineer, Doc Fraud 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.
