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MLOps Consultant – Pipeline Migration

Chiara Lombardi

Freelance · Mid-level · London

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This role is no longer accepting applications

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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

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Categories

MLOps & AI Infrastructure

Skills

python docker kubernetes mlflow airflow

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Contract Type

Fixed-price

Level

Mid-level

Budget Range

$20,000 – $35,000

Duration

3 – 6 months

AI Expertise

MLOps & AI Infrastructure

Skills

python docker kubernetes mlflow airflow ci/cd

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