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Remote NumPy Jobs

Browse remote NumPy positions — scientific computing, ML data processing, and Python numerical engineering roles at AI and research companies.

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P

Posted 1 month ago

Applications closed

AI Climate Risk Underwriting Analyst

Paleon Data

Remote

New York, United States (UTC-5)

job
Full-time
English
$160k – $200k / year
Open job
T

Posted 1 month ago

Applications closed

Synthetic Data Workflow Automation Engineer

Telvion Labs

Remote

Denver, United States (UTC-7)

job
Full-time
English
$160k – $200k / year
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P

Posted 1 month ago

Applications closed

AI Data Scientist

Paleon Data

Remote

Denver, United States (UTC-7)

job
Full-time
English
$80k – $100k / year
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P

Posted 2 months ago

Applications closed

AI Climate Data Engineer

Paleon Data

Remote

Chicago, United States (UTC-6)

job
Full-time
English
$60k – $80k / year
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K

Posted 2 months ago

Applications closed

AI Remote Sensing Engineer

Kelvix Systems

Remote

London, United Kingdom (UTC+0)

job
Full-time
English
$130k – $160k / year
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T

Posted 2 months ago

Applications closed

AI Data Simulation Engineer

Telvion Labs

Remote

Chicago, United States (UTC-6)

job
Full-time
English
$80k – $100k / year
Open job
P

Posted 2 months ago

Applications closed

AI Perception Systems Engineer

Prixel Labs

On-site

New York, United States (UTC-5)

job
Full-time
English
$160k – $200k / year
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H

Posted 2 months ago

Applications closed

Data Scientist

Halvex Data

Hybrid

New York, United States (UTC-5)

job
Full-time
English
$80k – $100k / year
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P

Posted 3 months ago

Applications closed

Junior Machine Learning Engineer

Pelvex Tech

Remote

Los Angeles, United States (UTC-8)

job
Full-time
English
Under $60k / year
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R

Posted 3 months ago

Applications closed

Senior Data Scientist

Reltrix Studio

Remote

London, United Kingdom (UTC+0)

job
Full-time
English
$130k – $160k / year
Open job

Role guide

What to expect in remote NumPy jobs

NumPy is the numerical foundation of Python AI engineering. Remote NumPy roles involve high-performance array operations, numerical computing for ML systems, and building the low-level data processing layers that ML frameworks build upon. NumPy expertise is most valued in ML engineering, computer vision, and scientific computing positions.

What you'll work on

  • Build high-performance numerical processing pipelines for ML data preparation
  • Implement custom model evaluation metrics and statistical computations
  • Develop scientific computing workflows for research or signal processing
  • Optimise array operations for GPU-accelerated ML training pipelines

What companies look for

  • Vectorised array operations — avoiding Python loops for performance
  • Broadcasting rules and memory layout optimisation
  • Integration with PyTorch, TensorFlow, and SciPy ecosystems

Frequently asked questions

Are there remote jobs specifically for NumPy engineers?

NumPy rarely appears as the primary requirement — it's foundational to all Python ML roles. It's most prominent in scientific computing, signal processing, and computer vision positions where numerical performance is critical.

Do I need NumPy experience for ML engineering remote jobs?

Yes — NumPy is assumed knowledge for any Python ML role. Strong NumPy skills become a differentiator in performance-sensitive roles like computer vision or large-scale data processing.

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