Transformative Machine Learning Infrastructure Expert - Greater London - beBeeMLOPs

    beBeeMLOPs
    beBeeMLOPs Greater London

    3 days ago

    Job title: MLOps / Machine Learning Engineer

    Description

    Job Description

    We are seeking a skilled MLOps Engineer to play a leading role in the design and evolution of our next-generation ML platform on Google Cloud.

    You will work as a hands-on technical expert in building reusable, scalable, and observable ML infrastructure that empowers data scientists and product teams to deliver measurable business impact.



    ,

    Key Responsibilities:

    • Design, implement and standardise end-to-end machine learning pipelines using Vertex AI Pipelines, Model Registry, and Cloud Run with a strong focus on reliability, automation, cost efficiency
    • Build reusable components templates to accelerate model delivery across squads training evaluation registry monitoring li Develop MLOps frameworks SDKs around metadata tracking feature versioning model governance CI CD integration e g Cloud Build Terraform GitHub Actions/li Partner with data scientists pricing analysts translate model prototypes fully automated monitored deployments optimising processing orchestration BigQuery Dataflow cloud-native patterns Container Cloud Composer Pub/Sub/li Support platform adoption mentoring engineers data scientists contributing shared documentation examples tooling li Mentor upskill peers engineering excellence code quality platform use/strengths>

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