Summary: The role of Machine Learning Engineer - Time Series Specialist involves deploying machine learning models to production, specifically utilizing AWS cloud services. The position requires expertise in time series modeling and proficiency in building and maintaining ML pipelines. The candidate will work fully remote and is expected to start immediately on a contract basis.

Key Responsibilities:

• Deploy machine learning models to production using AWS SageMaker
• Build and maintain robust ML pipelines
• Leverage MLflow or Metaflow for model management and deployment
• Work with containerization technologies like Docker
• Develop time series forecasting and predictive models

Key Skills:

• Strong experience deploying ML models to production, particularly with AWS SageMaker
• Proven track record of building and maintaining ML pipelines
• Familiarity with MLflow or Metaflow for model management and deployment
• Experience with containerization technologies (e.g., Docker)
• Expertise in working with time series data and models, ideally in a similar industry or application
• Proficiency with AWS CDK and Metaflow is essential

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT