MLOps Engineer

MLOps Engineer 🚀 Want to build the platform that powers cutting-edge machine learning? We're partnering with a venture-backed deep-tech startup using AI to tackle complex, real-world challenges in a critical global industry. As their Founding MLOps Engineer , you'll build the infrastructure that takes world-class ML research into production. Working alongside exceptional ML researchers and software engineers, you'll shape the company's ML platform from the ground up. What You'll Do 🛠️ * Build scalable ML training and inference pipelines * Design cloud infrastructure and deployment workflows * Develop robust data pipelines and tooling for ML teams * Improve reproducibility, model governance and observability * Shape the long-term architecture of the ML platform What You'll Bring 💡 * Strong Python engineering skills * Commercial experience in MLOps, ML Platform Engineering or Data Engineering supporting production ML systems * Experience with AWS, GCP or Azure * A track record of building scalable infrastructure and automation * A proactive mindset with the ability to thrive in an early-stage, high-ownership environment Nice to Have * Experience with geospatial data or scientific computing * Kubernetes, Terraform, CI/CD or Infrastructure as Code * Model governance, monitoring or ML lifecycle tooling Why Join? 🌟 * Be one of the first engineering hires * Shape the technical direction and ML platform from day one * Work alongside world-class researchers and engineers * Build technology with genuine real-world impact