Senior ML Engineer – Document Extraction (Hybrid/Remote)

Entrust; United Kingdom; Hybrid; GBP 110,000 - 170,000; Full time

Benefits offered by this job

Career growth

Flexible work options

Collaborative culture

Job summary

Entrust is seeking a Senior ML Engineer to advance document extraction and verification technologies. The role focuses on high‑accuracy extraction across global documents, leveraging LLMs and traditional ML approaches in scalable production systems.

You will collaborate with Applied Science, Product, Design and Data Science teams, architect end‑to‑end solutions, and drive performance, reliability, and cost‑efficiency across deployed services in Python, Ruby, and TypeScript on AWS and Kubernetes.

Qualifications

• Strong production engineering experience in real‑world ML systems.
• Hands‑on experience with LLMs in production environments.

Responsibilities

• Lead technical design of complex features from RFC through production deployment.
• Build and optimize production ML systems: training pipelines, inference acceleration, labeling workflows.

Skills

Production engineering

LLM systems

End‑to‑end ownership

Python

Ruby

Typescript

Job description

Entrust is seeking a Senior ML Engineer to advance document extraction and verification technologies. The role focuses on high‑accuracy extraction across global documents, leveraging LLMs and traditional ML approaches in scalable production systems.

You will collaborate with Applied Science, Product, Design and Data Science teams, architect end‑to‑end solutions, and drive performance, reliability, and cost‑efficiency across deployed services in Python, Ruby, and TypeScript on AWS and Kubernetes.