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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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You'll be the third data scientist on our logistics forecasting pod, working next to the fleet routing lead. We already have solid routing and warehou...
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We serve regional banks that write off a growing share of first-party fraud as an unrecoverable cost of doing business. The person in this role will o...
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Finance still catches duplicate expense claims manually, three weeks after reimbursement already went out. By then the money's gone and getting it bac...
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We're building the next generation of sustainability intelligence tools for commercial real estate. Zelux Studio works with property managers, REIT an...
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Our clients include Fortune 500 companies in healthcare, finance, and government who need independent certification that their AI systems meet respons...
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Trivon Data builds AI-powered sports analytics tools used by professional teams and sports betting operators. Draft pick valuation is one of the most...
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Klavio Works builds AI-powered language learning tools used by 300,000 learners across Europe and Latin America. Our grammar and multilingual QA tooli...
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Lyrex Data's platform is used by data governance teams at enterprise companies to manage their data catalog. One of the most persistent pain points: n...
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Our clients include Lloyd's of London syndicates, Bermuda reinsurers, and global ILS funds who use Quilvex to underwrite insurance risk more precisely...
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Posted 3 months ago
United States — New York (UTC-4)
Scirvex Intelligence builds AI tools for research institutions and pharmaceutical R&D teams who need to monitor the scientific literature at scale. Ev...
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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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