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Remote Scikit-learn ML Jobs
Not every ML problem needs deep learning. These roles value engineers who combine Scikit-learn depth with production experience — building, evaluating, and deploying classical ML models that solve real business problems.
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Posted 23 hours ago
Research Lead, Open Benchmarks Grants
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 23 hours ago
Lead/ Senior Machine Learning Scientist, Integrative Phenotyping
insitro
South San Francisco, CA
insitro is a physical AI company dedicated to unlocking causal human biology and accelerating the delivery of better medicines to patients. Our unique...
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Posted 1 day ago
Program Director, Open Benchmarks Grants
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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Aleph Alpha is one of the few companies in Europe doing serious foundation model pre-training like our recently released Kolibri-1 model. Our customer...
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Posted 1 day ago
Research Engineer / Scientist, Pre-training
Anthropic
Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society...
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Work Arrangement: On-site / Hybrid / Remote Department: Technology & Engineering Reports To: CTO / Technical Lead We are looking for a talented and ex...
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Posted 4 days ago
Research Engineer / Scientist, Reinforcement Learning
Harvey
London · also open in 3 other locations
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep do...
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At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep do...
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Posted 4 days ago
Research Engineer / Scientist, Data & Evals
Harvey
Remote · also open in 3 other locations
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep do...
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Posted 4 days ago
Machine Learning Engineer, Applied AI Intern (Summer 2027)
Brainco
San Francisco Bay Area
Rebuild how the world works, to make institutions work better for the people they serve. About Brain Co. Brain Co. builds AI-native operating systems...
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Career guide
How to land a remote Scikit-learn ML Engineer role
Showcase Scikit-learn production work on your profile
Describe models you trained, deployed, and monitored with Scikit-learn. Include outcomes — accuracy gains, latency improvements, business impact. Production depth beats tutorial projects.
Filter for roles matching your experience level
RemoteAI lists ML roles from mid-level to principal. Find positions where your Scikit-learn depth matches the actual technical challenge, not just the job title.
Write a targeted application
Connect your Scikit-learn experience to the specific ML challenge in the role. Companies respond faster to candidates who show they understand the problem.
Prepare for system design questions
ML interviews often include system design. Be ready to architect a Scikit-learn-based solution, discuss data pipelines, model serving, and monitoring trade-offs.
Move quickly on strong matches
Good ML roles fill fast. If a role matches your Scikit-learn stack and experience level, apply within days — not weeks.
Frequently asked questions
What does a remote Scikit-learn ML engineer role involve?
Typical Scikit-learn ML roles involve model training, evaluation, production deployment, and monitoring. You'll work on real AI systems — not just experiments — and own the full lifecycle from data to deployment.
What salary range do remote Scikit-learn ML engineers earn?
Pay depends on seniority, country and contract type, so we do not quote one range. Production deployment experience and end-to-end system ownership usually raise it. When a job post shows a salary range, it is on the job page: compare a few Scikit-learn roles before you set your own rate.
Do I need a PhD for Scikit-learn ML engineering jobs?
No. Most ML engineering roles prioritise production experience over academic credentials. If you can ship Scikit-learn-based models to production and describe the trade-offs, that matters more than a degree.
How competitive are remote Scikit-learn ML jobs?
Companies hiring for Scikit-learn look for production experience. If you have real deployment work, show it: describe specific outcomes in your profile, not just tool familiarity.
Is RemoteAI free for ML job seekers?
Yes, for normal use. Creating a profile, browsing jobs and applying are free, up to 20 applications a day. Credits are optional: they pay for applications beyond that limit or to put an application at the top of the list. No placement fee when you get hired, no share of your salary, no exclusive contract.
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