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 5 months ago
Applications closedLumio Systems
Remote
Los Angeles, United States (UTC-8)
PyTorch, Airflow, and Kubernetes are the core of what we build. If you've ever been the person who gets paged when a model serving endpoint goes down...
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Posted 5 months ago
Applications closedRelvix Data
Remote
Kolkata, India (UTC+5:30)
As a fully async team spread across 9 time zones, we believe great engineers don't need to be in the same room — or even the same continent — to build...
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Posted 5 months ago
Applications closedHalvex Data
Remote
Berlin, Germany (UTC+1)
We serve over 200 enterprise clients in the retail sector, and every recommendation engine, demand forecast, and pricing model depends on the data inf...
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Posted 5 months ago
Applications closedInovex Intelligence
Remote
Los Angeles, United States (UTC-8)
Our ML platform serves 8 internal teams and supports over 40 models in production. It's built on GCP with Kubernetes, MLflow, and Airflow — and it wor...
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Posted 5 months ago
Applications closedMivex Cloud
Remote
New York, United States (UTC-5)
We run a private GPU cluster — 200 A100s across two data centers on the East Coast. Our clients rent compute for model training, and our infrastructur...
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Posted 5 months ago
Applications closedAevix Cloud
Remote
Los Angeles, United States (UTC-8)
Managing 400 GPUs across three cloud regions sounds straightforward until a training job in us-east consumes 64 A100s for 72 hours, a client in eu-wes...
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Posted 5 months ago
Applications closedRolvex Solutions
Remote
Chicago, United States (UTC-6)
We deploy ML models for 20 clients, and each deployment is a production system that real users depend on. When a model serving endpoint goes down at 2...
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Posted 5 months ago
Applications closedJoltura Labs
Remote
Berlin, Germany (UTC+1)
Model performance degrades silently. A retrained model scores well on validation but produces subtly worse predictions in production because the data...
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Posted 5 months ago
Applications closedLyrex Data
Remote
Los Angeles, United States (UTC-8)
Centralized data teams are a bottleneck. Every analytics request goes through the same 6 engineers, and the backlog is 4 months deep. Our data mesh im...
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Posted 5 months ago
Applications closedNortex Solutions
Remote
London, United Kingdom (UTC+0)
Companies buy AI tools and then struggle to integrate them into existing workflows. The tool works in isolation, but the handoffs between AI and human...
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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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