3 of 3 Amazon SageMaker Jobs in the City of London

Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills: Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse, cross-functional stakeholders. ...

management experience, with the ability to bridge business and technical teams Knowledge of AI/ML enablement platforms and supporting infrastructure such as AWS SageMaker Strong leadership, communication, delivery governance, and programme management capabilities If this sounds you, please apply ...

Pods environments .Manage container lifecycle with ECR, private image builds, and integration with Artifactor yand external repositories .Support AI/ML platforms by configuring SageMaker Studio, Jupyter environments, an dintegrating compute layers (HyperPods) .Ensure observability, cost optimization (FinOps),vulnerability remediation, and end-to-en dsystem testing . ...