At a Glance
- Tasks: Transform messy insurance documents into structured, geospatial data for catastrophe modelling.
- Company: Join Dex, a forward-thinking company revolutionising the insurance industry.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Enjoy a dynamic work environment with plenty of room for innovation.
- Why this job: Make a real difference by enhancing data for critical catastrophe models.
- Qualifications: Experience in machine learning and a passion for data-driven solutions.
The predicted salary is between 80000 - 100000 £ per year.
Dex is seeking a senior machine learning engineer to turn messy property insurance documents into clean, structured, geospatially enriched data for catastrophe modeling systems. You will own core ML problems from classification to multimodal extraction and will drive the full lifecycle from data collection to production rollout. You will optimize inference with ONNX and Triton, and have the autonomy to procure new data resources or annotations.
We think you need these skills to ace Geospatial Doc ML Engineer: Multimodal Understanding
Machine Learning
Data Structuring
Geospatial Data Analysis
Catastrophe Modelling
Classification Algorithms
Multimodal Extraction
Data Collection
