MLOps Engineer

MLOps Engineer – Robotics Python, PyTorch, TensorFlow, CI/CD, Docker, Kubernetes Hybrid in London Up to £80k Ready to help build the future of robotics? Check out the below The role involves managing the full lifecycle of AI/ML models, from development to deployment and monitoring, while ensuring infrastructure reliability, scalability, and security. It includes implementing version control, testing, and CI/CD best practices, troubleshooting performance issues, and staying current with AI/ML tools and trends. Proficiency in Python, PyTorch, TensorFlow, CI/CD pipelines, Docker, Kubernetes, cloud (AWS, GCP, Azure) and proven experience in a MLOps role with a strong understanding of the ML lifecycle management is essential . Hybrid in London, 2/3x a week. Flexible working hours. If this has piqued your interest, please apply today for consideration.