ML/Ops Engineer

We are seeking an experienced ML/Ops Engineer to join a leading organisation and play a key role in managing the full lifecycle of machine learning operations. You'll be working within an established Azure-based data platform, helping to optimise and scale ML solutions in a production environment. ? Responsibilities Design, build, and maintain production-ready pipelines for ML models Perform testing and validation to ensure scalability, reliability, and performance Identify gaps in the current data platform and drive improvements Collaborate with cross-functional teams to integrate ML solutions into business processes Take ownership of tasks and deliver independently with a high level of autonomy ? Requirements Solid experience across the Machine Learning lifecycle and DevOps practices Hands-on expertise with Azure Cloud services Proven experience deploying and maintaining production-grade ML pipelines Availability to work part-time (~20 hours per week) ? Contract Details Initial contract: ~2 months (Phase 1) Possible extension: Up to 6 months (Phase 2)