Machine Learning Engineer – Anywhere

The machine learning engineer uses state-of-the-art foundation models to derive insights from large-scale sensor data, supporting model improvement and dataset curation. Responsibilities include building and training ML pipelines for multimodal data, developing embedding-based search tools, and monitoring model health in production environments. The role involves implementing scalable data processing pipelines, applying optimisation techniques, and collaborating with cross-functional teams to translate prototypes into scalable solutions. Candidates should have experience with Python, PyTorch or TensorFlow, large datasets, and the full ML lifecycle, working in a high-stakes engineering environment. They are expected to follow best practices in software engineering and participate in code reviews, contributing to technical documentation.