Remote positions

Remote Scikit-learn Jobs

Browse vetted remote Scikit-learn positions at AI companies — ML engineering, classical model development, and feature engineering roles.

Vetted companies
Remote worldwide
All job types
ML Engineer Applied ML Developer Data Scientist Feature Engineering Specialist Predictive Modelling Engineer

Top matching AI roles

Filters

AI Specialization

Job Type

Experience Level

Get matched to AI roles

Create your free profile and let companies find you.

Join as talent — free

Jobs & Projects

C

Posted 4 months ago

AI Payments Engineer

United States — New York (UTC-4)

job
Full-time
English
$100k – $130k / year
Open job
C

Posted 4 months ago

AI Subscription Revenue Prediction Analyst

United States — New York (UTC-4)

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

Posted 4 months ago

AI Price Sensitivity Segmentation Analyst

United States — New York (UTC-4)

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

Posted 4 months ago

AI Counterfactual Explanation Generator Developer

United States — New York (UTC-4)

job
Full-time
English
$100k – $130k / year
Open job
P

Posted 4 months ago

AI Player Behavior Clustering Analyst

United States — New York (UTC-4)

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

Posted 4 months ago

AI Tabular Data Synthesis Benchmark Engineer

United States — New York (UTC-4)

job
Contract
English
$80k – $100k / year
Open job
A

Posted 4 months ago

AI Campaign Performance Prediction Engineer

United States — New York (UTC-4)

job
Full-time
English
Under $60k / year
Open job
W

Posted 4 months ago

AI Drug Repurposing Candidate Ranker

United States — New York (UTC-4)

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

Posted 4 months ago

AI Fraud Detection Specialist

United States — New York (UTC-4)

job
Contract
English
$130k – $160k / year
Open job
D

Posted 4 months ago

AI Supply Chain Analyst

United States — New York (UTC-4)

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

Role guide

What to expect in remote Scikit-learn jobs

Scikit-learn is the workhorse of applied machine learning. Remote Scikit-learn jobs involve building production ML models for classification, regression, and clustering tasks — often as part of a larger data platform or AI feature pipeline. Many AI companies use Scikit-learn alongside PyTorch or XGBoost in production systems.

What you'll work on

  • Build and deploy classification or regression models for business predictions
  • Design feature engineering pipelines that process raw data for ML models
  • Benchmark classical ML approaches against deep learning alternatives
  • Maintain and retrain production models as data distributions shift

What companies look for

  • Strong understanding of model evaluation — cross-validation, bias-variance, metrics
  • Feature engineering experience — encoding, imputation, scaling, selection
  • MLflow or similar experiment tracking integration

Frequently asked questions

Are there remote jobs specifically for Scikit-learn engineers?

Scikit-learn is rarely the only requirement — it typically appears alongside Python, Pandas, and sometimes PyTorch. Roles involving applied ML, prediction systems, or feature engineering are the best fit.

Is Scikit-learn relevant if a company uses PyTorch or TensorFlow?

Yes. Scikit-learn handles preprocessing, classical baselines, and evaluation utilities that complement deep learning frameworks. Most ML engineers use Scikit-learn daily regardless of their primary modelling framework.

Browse other remote AI jobs

Are you a Scikit-learn specialist? Get hired remotely.

Create my profile — it's free