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.