Machine Learning Engineer with AWS Expertise

5 days ago


London, Greater London, United Kingdom IQTech Full time

Renewable Energy Marketplace Leader Requires Innovative Senior Machine Learning Engineer

Job Overview: Experienced Machine Learning Engineer needed for AWS & Time Series specialization

We are seeking an accomplished Senior Machine Learning Engineer to propel our predictive analytics capabilities and push the frontiers of energy market insights.

Key Responsibilities:

  1. Develop and implement complex machine learning models on AWS SageMaker platform
  2. Architect scalable and reliable ML infrastructure and production workflows
  3. Design and execute efficient model management strategies with MLflow and Metaflow tools
  4. Deliver sophisticated time series forecasting solutions for informed decision-making
  5. Leverage containerization technology such as Docker for efficient deployment and scalability

Required Expertise:

  1. Proven track record of successfully deploying ML models in production environments
  2. Advanced knowledge of AWS SageMaker and cloud-based machine learning infrastructure
  3. Extensive experience with time series data modeling and its real-world applications
  4. Expert-level proficiency in Docker and containerization
  5. Strong skills in AWS CDK and workflow management tools for optimized processes

Tech Stack: AWS SageMaker, MLflow, Metaflow, Docker, Time Series Modeling

Salary Range: $160,000 - $220,000 annually



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