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Machine Learning Engineer
Job summary
A leading technology company is seeking a Machine Learning Engineer with extensive experience in AWS and machine learning for a 5-month hybrid role based in London. Candidates should have a minimum of 4-5 years of relevant experience, including at least 2-3 successful projects involving AWS and ML. Responsibilities include setting up Redis clusters and developing streaming pipelines using Kafka/Flink. The role offers flexible working hours, with attendance required twice a week in the office.
Qualifications
- 4-5 years of experience in AWS and Machine Learning within commercial projects.
- At least 2-3 completed projects using AWS and ML.
Responsibilities
- Set up Redis clusters for data storage and processing.
- Develop Kafka/Flink streaming pipelines for real-time data processing.
- Implement S3 Data pipelines to manage data flow.
- Create real-time micro batches for efficient data handling.
Skills
Tools
Machine Learning Engineer
Location: London UK
Duration: 5 Months + with possible extension
Hybrid (Weekly twice)
Job Description:
- Redis cluster setup
- Kafka/Flink streaming pipelines
- S3 Data pipeline
- Real time micro batches implementation (5 minutes, hourly, daily)
- Mongo/Atlas as alternative implementation (we might land with S3 instead)
- SageMaker MLOps / SageMaker Training / SM Model Deployment
- Pytorch
Required Skills:
Minimum 4-5 years AWS and Maching learning experience in a commercial project.
Minimum 2-3 Project counts in AWS projects and ML Projects.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.