AWS MLOps Engineer

London
1 week ago
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We are looking for a skilled AWS MLOps Engineer to help deploy, automate, and manage production-grade machine learning solutions within our clients AWS environment. This is a great opportunity for a MLOps Engineer to become a vital part on a new data team.

This is a hybrid role with the expectation to be in the London office 1-2 times per week.

Key Responsibilities

Deploy ML models as real-time endpoints using Amazon SageMaker

  • Build and manage batch inference pipelines
  • Implement CI/CD workflows for ML using Git-based processes
  • Containerize applications using Docker
  • Monitor model performance, data drift, and system health using CloudWatch
  • Automate data pipelines and feature workflows using Python & SQL
  • Ensure secure access and governance using AWS IAM and best practices

    Core AWS Stack

    Amazon SageMaker | Amazon S3 | Amazon Redshift | AWS Lambda | Amazon CloudWatch | AWS IAM

    What We're Looking For

    ✔ Strong hands-on experience with AWS ML infrastructure
    ✔ Experience deploying and monitoring ML models in production
    ✔ Proficiency in Python and SQL
    ✔ Knowledge of Docker and CI/CD pipelines
    ✔ Experience with Infrastructure-as-Code (CloudFormation preferred)

    This role focuses on transforming machine learning from experimentation into secure, scalable, production-ready systems.

    Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy

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