Fully remote

We're seeking an experienced Machine Learning Engineer with expertise in time series modelling and AWS cloud services for a contract role, start date ASAP/immediate. We are looking for a candidate who is proficient in building/developing and debugging ML model deployment pipelines, with experience in the following pipeline tools (AWS CDK, Metaflow, AWS Sagemaker, Grafana and Loki)

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

Required Skills and Experience:

• 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 (eg, 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

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.