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Browse vetted remote Scikit-learn positions at AI companies — ML engineering, classical model development, and feature engineering roles.
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Our drug discovery platform uses machine learning to identify and validate biomarkers for patient stratification in oncology clinical trials. The prob...
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We are a nonprofit organisation that has spent the last nine years making university-level education accessible to learners in sub-Saharan Africa. We...
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We are a three-year-old fintech building credit risk tools for emerging market lenders. Our core product uses ML to generate creditworthiness scores f...
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A digital health platform is looking for a data scientist with experience handling clinical or health data. You will build models to improve patient o...
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We know that breaking into data science is hard. Job posts that say "junior" and then list 5 years of experience requirements are a joke. This isn't t...
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We work with professional sports organisations — currently eight clubs across the NBA and MLS — to turn tracking data, event data, and video analysis...
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Right, let's be upfront about a few things. We're a 30-person startup in Sydney building predictive analytics for the hospitality sector — think deman...
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Hey! We're a small team building an AI-powered resume screening tool. Nothing crazy complicated, but it's real production code used by actual HR teams...
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Posted 5 months ago
United States — Los Angeles (UTC-7)
60% of our engagement comes from recommendations. Not from editors, not from curation — from models. We built the first version two years ago with thr...
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Posted 5 months ago
United Kingdom — London (UTC+1)
In early 2024, we deployed a credit risk scoring model into our loan origination pipeline. It has been running without a formal review since. Our comp...
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Role guide
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.
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.
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