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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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Full-time roles and fixed-scope freelance missions — matched to your AI skills.
We run a third-party logistics operation. Three fulfilment centres — one in Ohio, one in Texas, one in Nevada. We handle warehousing, pick-and-pack, a...
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We are a specialist motor and home insurer operating in the UK personal lines market. We write approximately 1.4 million policies per year. Our pricin...
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Posted 5 months ago
United States — New York (UTC-4)
We are a fashion discovery platform. We have 6.2 million registered users who use our app primarily to find products visually — photographing somethin...
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Posted 5 months ago
United Kingdom — London (UTC+1)
We build software for large-scale infrastructure and commercial construction projects. Our platform connects BIM models, site photography from weekly...
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We sell clothes. Fast ones. Our buying cycle is six weeks from trend identification to floor. We carry 4,800 SKUs in season across womenswear, menswea...
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We are the performance analytics department of a professional rugby union club. We compete in the Premiership. We have a head of performance, two spor...
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Posted 5 months ago
Switzerland — Zurich (UTC+2)
We are a Swiss industrial technology company. We have manufactured precision measurement and inspection equipment since 1954. Our instruments are used...
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We are an 18-person EdTech startup. We launched our adaptive learning platform fourteen months ago. We have 26,000 registered learners, a paying schoo...
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We are an MGA — a Managing General Agent — which means we design insurance products, underwrite risk, and distribute through broker partners, but we d...
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You know that moment in a game when the AI does something and you think — wait, was that actually intelligent? That's what our team works on. We make...
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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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