Job Description
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.