Senior MLOps / Infrastructure Engineer
London, United Kingdom
Antler
environments. Proficiency in Kubernetes, Docker, Terraform (or equivalent infrastructure automation tools), and cloud services (AWS, GCP, Azure). Deep experience with ML workflow orchestration tools (e.g., Kubeflow, Ray, Airflow, Metaflow). Excellent programming skills in Python; experience with Bash, Go, or C++ is beneficial. Strong understanding of ML frameworks (PyTorch, TensorFlow, JAX) and familiarity with distributed training methods, GPU acceleration More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted: