Machine Learning Engineer

Summary: The role of Machine Learning Engineer involves working on various data pipeline implementations and machine learning model deployment in a hybrid work environment. The position is based in London, UK, and is initially for a duration of 5 months with the possibility of extension. Key responsibilities include setting up Redis clusters, working with Kafka and Apache Flink, and utilizing SageMaker for MLOps and model deployment.

Key Responsibilities:

• Set up Redis clusters for data management.
• Develop and maintain Kafka and Apache Flink streaming pipelines.
• Implement data pipelines using S3 and manage real-time micro-batch processing.
• Utilize SageMaker for MLOps, training, and model deployment.
• Work with Pytorch for machine learning model development.

Key Skills:

• Experience with Redis cluster setup.
• Proficiency in Kafka and Apache Flink.
• Knowledge of S3 and data pipeline implementations.
• Experience with real-time micro-batch processing.
• Familiarity with SageMaker for MLOps and model deployment.
• Proficiency in Pytorch.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT