Latest Weapon Systems Jobs

Applied Scientist Lead - Computer Vision

Lead a team of applied scientists focused on computer vision and machine learning, developing production-grade models for document understanding, vision-language systems, and efficient on-device inference. Work at the intersection of research and product, advancing state-of-the-art techniques like distillation and quantisation while shipping models into global identity verification systems used by banks and fintechs.

Entrust London, United Kingdom

On-site Permanent

Senior ML Engineer, Doc Fraud

This role involves building and optimizing production-scale machine learning systems for document classification and extraction, focusing on fraud detection in government-issued IDs. The engineer will work with VLMs/LLMs and traditional ML models, design training and inference pipelines, and integrate solutions into customer-facing products. Collaboration with applied science, product, and operations teams is key to delivering accurate, real-time document verification experiences.

Entrust London, United Kingdom

Hybrid Permanent

Senior ML Engineer, Doc Fraud

Design and build high-accuracy document classification and extraction systems using LLMs and traditional ML, integrated into identity verification products. Focus on scalable production pipelines, inference optimization, and cross-team collaboration to improve fraud detection across global document types.

Entrust

Hybrid

Principal Cloud DevOps Engineer

This role involves designing and maintaining scalable cloud infrastructure for a machine learning-powered ID verification platform. The engineer will automate deployment pipelines, enhance system reliability, and collaborate with security teams to address threats. Emphasis is on AWS, Kubernetes, and modern DevOps tooling within an Agile environment.

Entrust London, United Kingdom

Hybrid Permanent Flexible

Applied Scientist I

Design and train machine learning models for digital identity verification, focusing on deepfake detection, bias mitigation, document understanding, and efficient on-device ML. Collaborate with product and engineering teams to deploy scalable models and publish research in top-tier venues. Work with large-scale vision-language models, synthetic data, and multimodal systems to enhance fraud detection and identity assurance.

Entrust London, United Kingdom