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scikit-learn AI Jobs in District of Columbia

Browse 4 AI jobs in District of Columbia for Oct 2026 with roles open at Accenture Federal Services and Altana AI paying $126K to $295K/year. Work as a Data Architect, Senior Staff Implementation Delivery Manager, and Senior Staff Machine Learning Engineer.

scikit-learn is required in 33% of ML Engineer jobs postings — the most common role requiring this skill.

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Account Executive ArgoCD Azure CI/CD Cadence Data Engineer Data Scientist Databricks Distributed Systems Figma Kafka Kotlin Kubernetes Linux Marketing Manager PostgreSQL QA Engineer Ray SQL Sales Engineer Selenium Software Engineer TensorFlow Workday scikit-learn vLLM

Cities

San Francisco 7 New York 6 Washington 4 Seattle 4

Countries

United States 22 California 8 New York 6 Canada 5 District of Columbia Washington 4 Virginia 3 United Kingdom 2

Filter by type

Remote Full Time

AA

Senior Staff Machine Learning Engineer

Altana AI / Washington, DC ; San Francisco, CA / Remote / Staff

Python PyTorch vLLM

$250K – $295K 1D

AA

Staff Machine Learning Engineer

Altana AI / Washington, DC ; San Francisco, CA / Remote / Staff

Python PyTorch vLLM

$205K – $240K 1D

AA

Senior Staff Implementation Delivery Manager

Altana AI / Washington, United States / Staff

Kubernetes Docker SQL

21D

AFS

Accenture Federal Services / Washington, United States / Staff

PyTorch TensorFlow SQL

$126K – $243K 29D

Frequently asked questions

What is the average salary for scikit-learn jobs?

4 active listings have salaries ranging from $126K to $295K/year.

Which companies are hiring for scikit-learn jobs?

Top companies hiring include Accenture Federal Services and Altana AI.

Are there remote scikit-learn jobs?

Yes, 2 of 4 are remote.