Remote positions
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
We run a fashion e-commerce platform with 2 million active users. We want to use generative AI to personalise product descriptions, generate outfit re...
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Posted 6 months ago
Property platform in Singapore. Agents and buyers want a price estimate for any property before a formal valuation. We need an ML-powered valuation A...
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Posted 6 months ago
Our fintech is rebuilding our credit risk scoring model and we need a freelance data scientist to lead the modelling work. You'll own the feature eng...
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Posted 6 months ago
West African telecom operator, 12M subscribers. Our churn rate is 4.2% monthly and we don't know who's about to leave until after they've ported their...
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Posted 6 months ago
500k transactions/day. 2.3% false positive rate on fraud blocks. Every false positive is a declined legitimate transaction — real revenue, real custom...
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Posted 6 months ago
Our churn model works. We think it can do significantly better and we don't know which direction to push. Need someone to look at our data and featur...
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Posted 6 months ago
We underwrite small business loans using bank transaction data, accounting exports, and application signals. The current model is serviceable, but it...
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Posted 6 months ago
Our content recommendation system was built 4 years ago and hasn't been meaningfully improved since. Click-through rates are declining and our users a...
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Posted 6 months ago
Digital news platform, 6M monthly active readers. Our recommendation system is collaborative filtering built in 2020. It pushes readers toward the sam...
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Posted 7 months ago
We operate 280 retail stores across Central Europe. Our forecasting is done in Excel by regional managers. It's wrong. Not slightly wrong — expiry wri...
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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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