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Hire Scikit-learn Engineers — Full-Time

Browse 312 Scikit-learn engineers available Full-Time for remote work. All profiles manually reviewed. No agencies, no noise.

312 Full-Time Scikit-learn profiles
Manually reviewed
Remote worldwide

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Viren

Viren

Junior
Kolkata, India (UTC+5:30) Full Time, Part Time Rate on request
AI & Machine Learning Engineers Data Science & Analytics
Khaleelur

Khaleelur

Entry-level
Kolkata, India (UTC+5:30) Part Time, Full-time Rate on request
ML (Machine Learning) Computer Vision
python machine learning deep learning sql scikit-learn +5
Gulshat

Gulshat

Senior
Nicosia, Cyprus (UTC+2) Full-time Rate on request
NLP & Prompt Engineering AI & Machine Learning Engineers
Lahiru Nuwan

Lahiru Nuwan

Senior
Colombo, Sri Lanka (UTC+5:30) Full-time, Part-time Rate on request
AI & Machine Learning Engineers Data Science & Analytics
Parker

Parker

Senior
Vancouver, Canada (UTC-7) Part-time, Freelance Rate on request
Data Science & Analytics AI & Machine Learning Engineers
Aditya

Aditya

Senior
Kolkata, India (UTC+5:30) Full-time, Part-time Rate on request
AI & Machine Learning Engineers Data Science & Analytics
Hemant Patil

Hemant Patil

Mid-Level
Kolkata, India (UTC+5:30) Full-time, Freelance Rate on request
Automation & AI Workflows AI Product & Strategy
Stanley

Stanley

Mid-Level
Paris, France (UTC+1) Freelance, Contract Rate on request
Data Science & Analytics NLP & Prompt Engineering
Akmal

Akmal

Mid-Level
Jakarta, Indonesia (UTC+7) Full-time, Part-time Rate on request
AI & Machine Learning Engineers Data Science & Analytics
Sai Kulvanth

Sai Kulvanth

Mid-Level
Kolkata, India (UTC+5:30) Full-time Rate on request
AI & Machine Learning Engineers Data Science & Analytics

About this role

Scikit-learn engineers, Full-Time availability

Scikit-learn is the foundation of classical machine learning in Python. Engineers with production Scikit-learn experience build reliable, interpretable models for classification, regression, clustering, and anomaly detection — often the most business-appropriate choice over complex deep learning.