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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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The triage model you'll build helps pharmacovigilance teams decide which of thousands of weekly adverse event reports need immediate clinical review v...
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Our clients run creative campaigns across dozens of ad sets, and by the time engagement metrics visibly drop, they've often already burned through a s...
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We just closed a major enterprise partnership and our sales team needs a lead scoring system that can keep up with triple the pipeline volume within t...
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We serve over 200 enterprise clients in the legal sector, and many of them ask us the same question before filing: how likely is this dispute to end u...
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The models you'll ship will be used by every support lead triaging incoming tickets across our platform, deciding within seconds which ones need to ju...
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We just closed our Series A and are scaling fast. We need a senior engineer who can take our merchant onboarding risk model from a manual review proce...
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The models you'll ship will be used by every support lead triaging incoming tickets across our platform, deciding within seconds which ones need to ju...
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We just closed our Series A and are scaling fast. We need a senior engineer who can take our merchant onboarding risk model from a manual review proce...
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We just closed a major enterprise partnership and our sales team needs a lead scoring system that can keep up with triple the pipeline volume within t...
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We serve over 200 enterprise clients in the legal sector, and many of them ask us the same question before filing: how likely is this dispute to end u...
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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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