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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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Pricing is where we win or lose margin. We run a travel marketplace — hotel and experience bookings across Europe — and right now our pricing is mostl...
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Our e-commerce platform processes millions of transactions monthly and we need a data scientist who can build predictive models around customer behavi...
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We are an AI-native startup and we need a principal data scientist who can operate at the highest level — setting technical direction, mentoring the t...
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We run a supply chain optimisation platform for mid-size manufacturers. Our forecasting models generate 72-hour demand predictions used directly in pr...
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We're a five-person team building an AI-powered resume screening tool used by real HR teams at mid-sized companies. The stack is Python, Scikit-learn,...
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You've shipped models to production. You know the difference between a model that performs well in a notebook and one that holds up when real users an...
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We are a pan-European logistics company with operations in eleven countries and a data team that has, until recently, focused primarily on operational...
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Posted 5 months ago
We're the pricing team at a European travel operator. We price 180 routes, and our current model is mostly rules, competitor checks, and a lot of manu...
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Posted 5 months ago
Luxury jewellery brand. 180k customers globally. Our CRM treats a €200 buyer and a €20,000 buyer the same way because we've never properly segmented o...
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Posted 5 months ago
United States — Los Angeles (UTC-7)
We run a marketplace connecting buyers and sellers and our recommendation engine is core to engagement. We need an applied scientist who has built col...
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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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