Remote positions
Browse remote Airflow positions at companies running production ML pipelines — DAG engineering, workflow orchestration, and MLOps automation roles.
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Posted 6 months ago
Applications closedKora Intelligence
Remote
Los Angeles, United States (UTC-8)
We run over 200 training jobs a week across a GPU cluster on GKE. Utilisation sits around 40%. Jobs fail silently. Experiment results live in one engi...
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Posted 6 months ago
Applications closedKvasir AI
Remote
New York, United States (UTC-5)
The numbers: 12 ML models in production, 6 of them retrained weekly, 3 teams with conflicting deployment processes, 0 shared model registry, and 1 MLO...
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Posted 6 months ago
Applications closedReiwa AI
Remote
Chicago, United States (UTC-6)
We are migrating our entire ML data processing layer from a legacy Hadoop and Hive environment to a modern Spark-on-AWS architecture. The existing pip...
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Posted 6 months ago
Applications closedAlphaion
Remote
8 sources → BigQuery, near real-time. Sources: Stripe, Salesforce, PostgreSQL, MySQL, Google Analytics, Zendesk, Shopify, internal API. All 8 need pro...
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Posted 6 months ago
Applications closedSemantix AI
London / Remote (UK)
London, United Kingdom (UTC+0)
We are the data infrastructure function for a London-based asset management firm with £14 billion under management. Our data team of twelve is respons...
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Posted 6 months ago
Applications closedFlowCore AI
Remote
New York, United States (UTC-5)
50 data scientists. Every one deploys differently. Some use a shared EC2 instance. Some maintain their own containers. There is no model registry that...
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Posted 6 months ago
Applications closedMeridian Analytics
Remote
London, United Kingdom (UTC+0)
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....
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Posted 6 months ago
Applications closedSynaptic Labs
Remote (EU or US)
London, United Kingdom (UTC+0)
We are building the data foundation for a Series B fintech and need an analytics engineer who lives and breathes dbt. You will model our raw data into...
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Posted 6 months ago
Applications closedTerraVision AI
Remote (UK / EU)
London, United Kingdom (UTC+0)
Our analytics stack is a combination of good decisions made three years ago, legacy choices that made sense at the time, and a few things we built und...
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Posted 6 months ago
Applications closedPolarML
Remote / Berlin
Berlin, Germany (UTC+1)
Our dbt project is a mess. Forty models, no tests, documentation nobody has touched in six months, and a naming convention that only one person unders...
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Role guide
Apache Airflow is the most widely deployed ML pipeline orchestration tool. Remote Airflow jobs involve designing maintainable DAGs, integrating Airflow with cloud data infrastructure, and ensuring ML training pipelines run reliably. Engineers with Airflow experience plus ML system knowledge are in consistent demand.
What Airflow roles are available remotely?
Primarily data engineering and MLOps roles where Airflow is part of the orchestration stack. Pure "Airflow engineer" titles are rarer — most roles combine Airflow with Python, cloud platforms, and data tools like dbt or Spark.
Do remote Airflow jobs require Kubernetes experience?
Increasingly yes. KubernetesExecutor and Astronomer deployments are common at scale. Smaller companies may use CeleryExecutor or LocalExecutor — check individual job listings for infrastructure specifics.
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