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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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Posted 5 months ago
Netherlands — Amsterdam (UTC+2)
We are a logistics and port operations company headquartered in Rotterdam. We handle container terminal operations, inland barge coordination, and tru...
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We build automated property valuation software for mortgage lenders, conveyancers, and property investors in the UK market. Our Automated Valuation Mo...
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Posted 5 months ago
United States — New York (UTC-4)
This retailer runs weekly promotions across thousands of SKUs and still relies too heavily on broad rules of thumb. We want a senior data scientist wh...
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We are a wildlife conservation organisation. We work across sub-Saharan Africa on the protection of large mammal populations — elephant, lion, wild do...
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A mapping company needs a freelancer to improve the QA layer over drone imagery before assets reach customers. The challenge is not training a massive...
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Posted 5 months ago
United Kingdom — London (UTC+1)
We make precision agriculture software for arable farms in the UK and Ireland. Our platform connects field sensors, satellite imagery, soil sampling d...
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This company sells into competitive B2B markets where price moves slowly until suddenly it does not. We want a senior data scientist who can bring rig...
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This is a credit risk role, so the work is more traditional than fashionable. Underwriting quality, segmentation, vintage analysis, calibration, drift...
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Our customers run trucks, not prototypes. They want fewer collisions, fewer false alerts, and hardware that behaves on bad roads and worse weather. Th...
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The company is profitable. The dashboards are polished. The churn model is still not trusted. That is the gap. We want a data scientist who can move p...
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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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