StatusNeo is seeking a Senior Machine Learning Engineer to lead the development and deployment of advanced AI models. In this role, you will be responsible for the end-to-end lifecycle of our machine learning systems from architectural design and data preprocessing to model training, optimisation, and production deployment.
You will work at the intersection of generative AI and traditional machine learning, building the engines that power two flagship initiatives: (automated requirements engineering via LLMs) and Intelligent Supply Chain (predictive risk scoring and demand forecasting). Operating within a structured Sprint Zero to Stage Gate delivery model, you will ensure our models are not just accurate but also robust, explainable, and deployable within strict defence-grade security environments.
The candidate will have responsibilities across the following functions:
LLM and NLP Pipelines