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Remote Scikit-learn Jobs
Browse remote Scikit-learn positions at AI companies — ML engineering, classical model development, and feature engineering roles.
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Posted 4 days ago
Lead Applied Value Engineer - AI & Process Intelligence Consultant
Celonis
Remote, United Arab Emirates
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowl...
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The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering...
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Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology where human researchers alone have fail...
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Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowl...
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Posted 3 weeks ago
Staff Applied AI Engineer - Enterprise AI Solutions
Snorkel AI
New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote)
Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine techn...
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Posted 3 weeks ago
Fullstack Software Engineer - Core
Dataiku
France, Remote; Germany, Remote; Netherlands, Remote; Spain, Remote; United Kingdom, Remote
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams d...
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Posted 3 weeks ago
Associate Director, MLOps Engineering
PathAI
Boston (Onsite) Preferred, New York (Onsite), or Remote
PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis...
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Posted 2 months ago
Solutions Architect - Strategic High Tech
Databricks
Remote - California; San Francisco, California
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE As a Strategic S...
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Posted 2 months ago
Research Scientist
Snorkel AI
New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote)
Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine techn...
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Posted 2 months ago
Sr. Solutions Architect - Digital Native Business, Strategics
Databricks
Nevada; Remote - California; Remote - Colorado; Remote - Washington
As a Sr. Solutions Architect on the team supporting the strategic Digital Natives Business (DNB) customers, you will shape the future of the Data & AI...
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Role guide
What to expect in remote Scikit-learn jobs
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.
What you'll work on
- Build and deploy classification or regression models for business predictions
- Design feature engineering pipelines that process raw data for ML models
- Benchmark classical ML approaches against deep learning alternatives
- Maintain and retrain production models as data distributions shift
What companies look for
- Strong understanding of model evaluation — cross-validation, bias-variance, metrics
- Feature engineering experience — encoding, imputation, scaling, selection
- MLflow or similar experiment tracking integration
Frequently asked questions
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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