Machine Learning Engineer

Summary: The Machine Learning Engineer role in London requires a professional with over 7 years of experience, focusing on designing and implementing data pipelines using AWS technologies. The position emphasizes hands-on expertise in AWS S3 and SageMaker, alongside the development of real-time streaming solutions and ML model deployment. The candidate will be responsible for managing data pipelines and implementing MLOps practices.

Key Responsibilities:

• Design and implement S3-based data pipelines
• Build and manage real-time micro-batch pipelines (5 mins / hourly / daily)
• Set up and manage Redis clusters
• Develop Kafka / Flink streaming pipelines
• Work with MongoDB / Atlas (alternative data implementation)
• Implement SageMaker MLOps, model training & deployment
• Develop and deploy ML models using PyTorch

Key Skills:

• Strong hands-on experience in AWS S3 and AWS SageMaker
• Strong experience in AWS-based data engineering and ML solutions
• Good understanding of real-time streaming and distributed systems

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT