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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 4 weeks ago
Manager, ML Solutions Architecture - Token Factory
Nebius
Remote - United States · also open in 1 other location
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Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers...
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First and most importantly: our mission is to bring transparency and clarity to the world's data. Our platform, Voxel51, is where AI work happens. Our...
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Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into...
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Posted 4 weeks ago
Senior Frontend Engineer
Nebius
Remote - United States
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Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers...
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Posted 4 weeks ago
Scientist II Machine Learning Engineer (LLM & GenAI Specialist)
Owkin
Paris
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Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology where human researchers alone have fail...
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Posted 4 weeks ago
Langfuse - Senior Backend Engineer
ClickHouse
Germany
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Your work will have an outsized impact. Langfuse ingests terabytes of AI tracing data per day. When a Fortune 50 company instruments their application...
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Posted 4 weeks ago
Application Software Engineer - Embedded Software C++
Wayve
Sunnyvale, California USA
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Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a b...
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Posted 4 weeks ago
Engineering Manager, App SW - Embedded
Wayve
Sunnyvale, California USA
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Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a b...
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Posted 4 weeks ago
Customer Support Developer (Databases)
Airbyte
Canada · also open in 1 other location
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We’re on a mission to make data available and actionable to everyone, everywhere. With 700+ connectors, our platform powers analytics and gives AI age...
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Posted 1 month ago
Cloud Infrastructure Security Engineer (Systems/Kernel)
Runpod
Remote - USA
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Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod...
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Role guide
What to expect in remote Docker jobs
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 you'll work on
- Containerise ML models for reproducible, portable deployment
- Build multi-stage Docker images that keep model serving images lean
- Create development environments that match production exactly
- Orchestrate AI microservices across training and inference containers
What companies look for
- Multi-stage Dockerfile design for ML workloads
- Docker Compose for local development and testing environments
- Experience with GPU container configurations for model training
Frequently asked questions
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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