Machine Learning Engineer

Kryptos Technologies limited; Greater London; Hybrid; Confidential; Full time

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

AWS

Machine Learning

Pytorch

Tools

SageMaker

Kafka

Flink

Mongo

Job description

Tasks

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

Requirements

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.