Job Description

Who you are:

  • Experienced in building and deploying machine learning solutions at scale.
  • Proficient in Python, Spark, and cloud technologies, preferably Azure.
  • Experienced building CI/CD pipelines for ML workflows.
  • Strong problem-solver who can work effectively across cross functional teams.
  • Passionate about improving engineering practices.

    • What you will do:

  • Design and implement robust ML pipelines and infrastructure.
  • Work closely with Data Scientists to productionise ML models using engineering principles and reusable frameworks.
  • Embed automation, testing, and monitoring into ML workflows to ensure reliability.
  • Act as a quality gatekeeper for production deployments, ensuring best practices and coding standards are met.
  • Lead initiatives to improve MLOps maturity within M&S.

    • What's in it for you


    Being a part of M&S is exactly that – playing your part t...

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