Renewable Energy Marketplace Leader Seeks Innovative Senior Machine Learning Engineer

Job Overview: Machine Learning Engineer (AWS & Time Series Specialization)

We're seeking a forward-thinking Machine Learning Engineer to drive our predictive modeling capabilities and push the boundaries of energy market intelligence.

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 to ensure scalable, efficient deployments

Required Expertise

Proven experience deploying ML models in production environments
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 and workflow management tools

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

InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably qualified persons regardless of age, disability, gender, religion/belief, race, marriage, civil partnership, pregnancy, maternity, sex or sexual orientation. Please make us aware if you require any reasonable adjustments throughout the recruitment process.

InterQuest Group

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