Python Engineer - Automation
Harvey Nash
Harvey Nash's Pub Sec client is restructuring its software delivery model to create long‑standing development teams aligned to core business domains, ensuring clear ownership of digital products. The Land Registration Automation team is responsible for analysing the problem space and developing solutions that enable high‑volume, low‑complexity casework to be automated. Key challenges include applying OCR and large language models to deed documents to assess automation risk, interpreting unstructured Title Sheet content to support automation of more complex cases, and automating wet signature verification using document analysis, object detection techniques and open language models. The role focuses on building AI/ML solutions and tooling for scalable automation within a hybrid Edinburgh-based environment.