Remote positions

Remote Docker Jobs

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

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MLOps Engineer DevOps for AI Platform Engineer Infrastructure Engineer Containerisation Specialist

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Jobs & Projects

P

Posted 7 months ago

Applications closed

Computer Vision Engineer — Quality Inspection

PolarML

Remote (Europe preferred)

senior
full-time
English
$110k – $150k / year
Full page
I

Posted 7 months ago

Applications closed

ML Infrastructure Engineer — GPU Cost Optimisation

InsuAI

Remote

senior
Freelance
English
Full page
D

Posted 8 months ago

Applications closed

Robotics Perception Engineer - Yard Safety Monitoring

Dockwise Robotics

Remote

senior
Full-time
English
$130k - $175k / year
Full page
C

Posted 8 months ago

Applications closed

Computer Vision Developer - Bridge Defect Inspection

CanalVision Systems

Remote (EU timezone)

mid-level
Contract
English
Full page
V

Posted 8 months ago

Applications closed

CV Engineer — Retail Shelf Monitoring

ViaggiAI

Remote (EU preferred)

mid-level
Full-time
English
$90k – $130k / year
Full page
M

Posted 8 months ago

Applications closed

Computer Vision Engineer — PCB Defect Detection

MarineML

Remote

senior
Freelance
English
Full page
L

Posted 8 months ago

Applications closed

CV Engineer — Video Anonymisation Pipeline

LexEngine

Remote

mid-level
Freelance
English
Full page
W

Posted 9 months ago

Applications closed

ML Platform Engineer — Feature Store Implementation (Feast)

WeldAI

Remote (EU timezone)

senior
Contract
English
Full page
P

Posted 9 months ago

Applications closed

Computer Vision Engineer - Parcel Damage Detection

ParcelFrame AI

Remote (US)

senior
Full-time
English
$120k - $160k / year
Full page
M

Posted 9 months ago

Applications closed

Computer Vision Engineer — Warehouse Robotics

MaghrebNLP

Remote

senior
Full-time
English
$120k – $160k / year
Full page

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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