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Browse remote Docker positions — containerisation for AI systems, MLOps infrastructure, and DevOps engineering at AI-first companies.
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Posted 6 months ago
Applications closedAlphaion
Remote
Los Angeles, United States (UTC-8)
You know that 3am incident where the model silently started returning null for 8% of requests and nobody noticed for six hours because the dashboard s...
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Posted 6 months ago
Applications closedNebula AI
Remote
Los Angeles, United States (UTC-8)
We serve 180 million product recommendations per day across a retail marketplace. The ML systems behind those recommendations — ranking models, person...
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Posted 6 months ago
Applications closedSemantix AI
Remote
London, United Kingdom (UTC+0)
We are a small automation agency with a steady flow of B2B client work — mostly n8n and Make.com, some Python, some LLM integrations. Our team is four...
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Posted 6 months ago
Applications closedGulf Analytics
Remote
New York, United States (UTC-5)
We run a compliance and training company for mid-sized businesses across financial services and healthcare. We have approximately 3,200 policy documen...
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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 closedMediaAI ME
Remote
We build AI-powered accessibility tools for visually impaired users — real-time scene description, document reading, navigation assistance and object...
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Posted 6 months ago
Applications closedAfriTech AI
Remote
City council project. We have 140 roadside cameras. We want to count and classify vehicles (car, truck, motorcycle, bus, bicycle), track flow directio...
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Posted 6 months ago
Applications closedEstudio AI
Remote
Our ML team is scaling fast and our infra is not keeping up. We've got 12 researchers queuing jobs on a cluster that's half on-prem, half GCP, all hel...
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Posted 6 months ago
Applications closedOceanAI
Remote
Los Angeles, United States (UTC-8)
We are a small research lab building foundation models for scientific discovery. We need a research engineer who can implement and extend cutting-edge...
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Role guide
Docker is the foundation of modern AI deployment infrastructure. Remote Docker jobs at AI companies involve containerising ML models, building reproducible training environments, and managing deployment pipelines. Engineers with Docker experience who also understand ML workflows are particularly in demand.
What Docker skills do AI companies typically require?
Multi-stage builds, GPU container configuration, Docker Compose for local development, and integration with CI/CD pipelines. MLOps-focused roles often require Kubernetes knowledge on top of Docker.
Can I get a remote Docker job without Kubernetes experience?
Yes — especially at smaller companies or for roles focused on development environments rather than production orchestration. As companies scale, Kubernetes becomes increasingly expected.
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