Remote positions

Remote Docker Jobs

Browse vetted remote Docker positions — containerisation for AI systems, MLOps infrastructure, and DevOps engineering at AI-first companies.

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Remote worldwide
All job types
MLOps Engineer DevOps for AI Platform Engineer Infrastructure Engineer Containerisation Specialist

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Jobs & Projects

Hyperscience
senior
Full-time
English
python docker aws azure machine learning +3 more
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Nebius
senior
Full-time
English
Open job
Helsing

Posted 6 hours ago

Staff Software Engineer

staff
Full-time
English
Open job
Nousresearch
Full-time
English
reinforcement learning python docker machine learning llm +4 more
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Nousresearch
Full-time
English
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Nebius
senior
Full-time
English
Open job
Roboflow

Posted 9 hours ago

Forward Deployed Engineer

Full-time
English
Open job
Nousresearch

Posted 9 hours ago

Forward Deployed Engineer

Full-time
English
Open job
Nebius

Posted 10 hours ago

Senior Data Engineer

senior
Full-time
English
Open job
Helsing

Posted 12 hours ago

Software Engineer - Backend

Full-time
English
Open job

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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