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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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We don't care where you work from. We care about the quality of your thinking, your ability to read papers critically, and whether you can ship models...
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You'll be the third data engineer on a tight-knit team of six, working directly with the head of retail analytics. Halvex Data serves grocery chains a...
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As a fully async team spread across 9 time zones, we believe great data scientists don't need to be in the same room to ship impactful work. Krato AI...
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Polvex Studio's clients are brand managers and agency media buyers who need to move faster than the influencer market moves. Right now, they're evalua...
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Synta Cloud works with industrial manufacturers who run complex multi-machine production environments. Scheduling production runs across dozens of mac...
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We serve over 300 enterprise compliance teams — HR departments, ethics officers, and legal investigators — who use Candor's platform to identify patte...
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Our mission is to make AI deployments provably safe before they reach real users. Elara Intelligence builds robustness certification toolkits used by...
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Fynix Studio just closed a $22M Series B, and the mandate is clear: convert more trials into paying customers and keep them longer. One of our biggest...
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Our clients include mid-market banks and trade finance platforms across Europe and the Gulf region. At Gradrix Works, we build risk models that assess...
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Posted 3 months ago
United States — Chicago (UTC-5)
Medication non-adherence costs the US healthcare system $300B annually in preventable hospitalizations and disease progression. Patients who don't tak...
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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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