4 of 4 Part-Time Amazon SageMaker Jobs in England

a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs More ❯

such as Power BI and OAS Understanding of data replication tools such as Oracle GoldenGate and AWS DMS Knowledge of AWS Services such as SageMaker, Lambda, Step Functions, S3 etc would be an advantage Hands on and technical understanding of complex Data Warehousing terminology. Python scripting knowledge would be More ❯

business in their Data Science, AI, and ML initiatives. Our Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. We are currently engaged on multiple data focused projects which are in various stages More ❯

seeking a forward-thinking Machine Learning Engineer to drive our predictive modeling capabilities. Key Responsibilities Design and deploy advanced machine learning models using AWS SageMaker Architect robust ML infrastructure and production pipelines Implement model management strategies with MLflow/Metaflow Develop sophisticated time series forecasting solutions Leverage containerization technologies … deploying ML models in production environments Experience having used ML pipeline orchestration tools, like Airflow, Metaflow, Prefect, Dagster, BentoML - Essential* Advanced skills in AWS SageMaker , cloud-based ML infrastructure Expert-level understanding of time series data modeling Proficiency in containerization (Docker) Strong capabilities with AWS CDK( or Terraform) and … workflow management tools Tech Stack: AWS SageMaker, MLflow, Metaflow, Docker, Time Series Modeling More ❯