Senior ML Engineer - Document Extraction (Hybrid/Remote)

Entrust Corporation; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Career Growth

Remote/Hybrid flexibility

Collaborative culture

Diversity & Inclusion

Job summary

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.

Qualifications

• Production engineering experience: built, deployed and operated complex systems with observability, reliability and performance optimisation.
• Hands-on LLM/ML systems experience: fine-tuning models, training/evaluation pipelines, latency/cost optimisation, productionising ML.
• Technical depth and breadth: T-shaped expertise in ML infrastructure or backend systems with broad software engineering knowledge.
• End‑to‑end ownership: lead projects from idea through design, implementation and production with minimal oversight.
• Tech stack: Python, Ruby, Typescript; running on AWS with Kubernetes.
• Strong judgement and initiative: make sound technical decisions in ambiguous situations; coordinate cross‑team solutions.
• Mentorship and collaboration: guide junior engineers and review code, promote team spirit.

Responsibilities

• Collaborate with Applied Science, Product, Design, Data Science and Operations to deliver accurate document classification and extraction across thousands of documents globally.
• Lead the technical design of complex features and systems from RFC through production deployment.
• Build and optimise production ML systems: training/evaluation/deployment pipelines; GPU inference optimisations; robust labeling workflows.
• Ensure performance, scalability and reliability by understanding production systems and addressing technical debt.
• Drive technical excellence: RFCs, code reviews, documentation, and trade-off decisions across priorities.
• Coordinate solutions across teams and align with Product to deliver on commitments.
• Mentor engineers through pair programming and guidance; foster collaboration and problem-solving.
• Contribute to a culture of continuous improvement and psychological safety.

Skills

Python

Ruby

Typescript

LLM systems

AWS

Tools

TensorFlow

PyTorch

Triton

Kubernetes

Job description

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.