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MLOps Consultant – Pipeline Migration

Chiara Lombardi

Freelance · Mid-level · London

About the role

Six ML models in production. All deployed via cron jobs. No monitoring. Retraining is a manual process involving two engineers and a lot of optimism. We know this needs to change and we know we're not going to fix it without outside help. We need a consultant who has done this migration before — legacy ML infrastructure to a modern MLOps stack — and can do it with us in roughly three months. We have a cooperative team, good documentation, and the budget to do it properly.

Key Deliverables

List the expected deliverables for this project.

  • Audit existing ML infrastructure and document the current state
  • Propose and agree a target architecture with the engineering team
  • Implement CI/CD pipelines for model training and deployment
  • Set up experiment tracking and model registry
  • Deliver a complete handover with documentation and runbooks

Requirements

Technical stack needed for this mission.

  • Hands-on MLOps consulting or migration project experience
  • Strong Python and experience with Airflow or Prefect
  • Familiarity with MLflow or W&B for experiment tracking
  • Able to assess existing infrastructure and produce a migration plan
  • Good written communication for handover documentation

Contract Type

Fixed-price

Level

Mid-level

Budget Range

$20,000 – $35,000

Duration

3 – 6 months

AI Expertise

MLOps & AI Infrastructure

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