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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're building climate risk models that insurers and municipalities rely on for multi-year planning decisions. As a junior data scientist joining our...
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We're building the analytics backbone that powers decisions across every product team at Yalvex. As deployment volumes have grown, so has the need for...
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Posted 1 month ago
United States — Chicago (UTC-5)
Sensor data, industrial furnace logs, and a decade of unplanned shutdown records are the core of what we work with here. If that sounds like real-worl...
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You'll be the fourth data hire on a growth team of 11, working directly under our Head of Product Analytics on one specific, high-leverage problem: wh...
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Have you ever wondered why a placement test puts one learner in an intermediate class and another with identical skills into beginner? That inconsiste...
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Our mission is to get advanced analytics out of the front office and directly into the hands of the people making in-game calls: the coaching staff....
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Our plant managers can tell you a line went down, but they can't tell you what it actually cost until finance closes the books three weeks later. We'r...
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We serve ML teams who can't get enough real-world data to train on, and synthetic data generation is how we close that gap for dozens of clients acros...
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Our support queues are growing faster than our tagging system can keep up, and manual triage is eating into response times. We're looking for someone...
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Our mission is to make AI systems accountable before regulators force the issue. This role sits at the center of that mission: auditing models before...
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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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