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Freelance Machine Learning Quant Jobs in Washington

Ametek

Machine Learning Engineer

Herndon, VA · Hybrid

Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, Mathematics, or a closely related quantitative field. * This is a hybrid role in Herndon ...

Ametek

Machine Learning Engineer

Herndon, VA · On-site

Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, Mathematics, or a closely related quantitative field. * This is a hybrid role in Herndon ...

Geico

Machine Learning Engineer II

Bethesda, MD · Hybrid

$105K - $215K/yr

Bachelor's degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related quantitative field. Two (2) years of experience as a Software Engineer, or related occupation. Two (2) ...

GEICO

Machine Learning Engineer II

Bethesda, MD · On-site

$105K - $215K/yr

Bachelor's degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related quantitative field. Two (2) years of experience as a Software Engineer, or related occupation. Two (2) ...

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Freelance Machine Learning Quant information

What is the difference between Freelance Machine Learning Quant vs Freelance Data Scientist?

AspectFreelance Machine Learning QuantFreelance Data Scientist
CredentialsStrong background in quantitative finance, mathematics, and machine learningBackground in statistics, data analysis, and programming; often less finance-specific
Work EnvironmentFinancial firms, hedge funds, or independent consulting in financeVarious industries including tech, healthcare, marketing, and finance
Industry UsagePrimarily in finance and trading

Freelance Machine Learning Quants focus on applying machine learning techniques to financial markets, often working with trading strategies and risk models. Freelance Data Scientists have a broader scope, working across multiple industries to analyze data, build predictive models, and generate insights. While both roles require strong technical skills, the finance-specific knowledge distinguishes the Freelance Machine Learning Quant from the Freelance Data Scientist.

What are the most commonly searched types of Machine Learning Quant jobs in Washington? The most popular types of Machine Learning Quant jobs in Washington are:
What are popular job titles related to Freelance Machine Learning Quant jobs in Washington? For Freelance Machine Learning Quant jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Quant jobs in Washington look for? The top searched job categories for Freelance Machine Learning Quant jobs in Washington are:
What cities in Washington are hiring for Freelance Machine Learning Quant jobs? Cities in Washington with the most Freelance Machine Learning Quant job openings:
Freelance Machine Learning Quant jobs near you
Infographic showing various Freelance Machine Learning Quant job openings in Washington as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.
Machine Learning Engineer USC

Machine Learning Engineer USC

Connexions Data Inc

Arlington, VA • On-site

Other

Posted 14 days ago

Job description

Machine Learning Engineer

Start: IMMED

Duration: 06 - 12 months + Extension

Location: Arlington, VA

Type: W2 only

***Active Secret Clearance Required***

Position Overview

The Machine Learning Engineer will develop and validate quantitative models that translate organizational workload drivers into defensible Full-Time Equivalent (FTE) requirements across military, civilian, and contractor workforces. This role will work closely with Data Scientists, AI Engineers, and functional stakeholders to build scalable workforce planning and forecasting solutions using advanced statistical and machine learning techniques.

Education

Bachelor s Degree Required

Advanced degree preferred in:

  • Mathematics
  • Statistics
  • Econometrics
  • Economics

Required Skills

  • Machine Learning Modeling
  • Econometrics
  • Classical Regression Modeling
  • Statistics
  • Python

Preferred Skills

  • Palantir
  • Workforce Forecasting
  • Workload Modeling
  • AI and Data Testing

Day-to-Day Responsibilities

  • Build and validate quantitative workforce planning and forecasting models.
  • Translate organizational workload drivers into FTE requirements across military, civilian, and contractor populations.
  • Collaborate with Senior Data Scientists and AI Engineers to explore, analyze, and prepare data.
  • Perform feature engineering using Army personnel systems, including:
    • IPPS-A
    • DAPES
    • TAADS-R
  • Develop and calibrate regression models and plausibility banding logic.
  • Integrate scenario-planning model parameters into front-end applications.
  • Ensure model outputs are traceable, explainable, and defensible during client validation reviews.
  • Support AI and workforce analytics initiatives through statistical analysis and model testing.
  • Work with functional leads to validate assumptions, methodologies, and outputs.

Expected Deliverables

  • Automated manpower requirement determination models.
  • Data-driven workforce forecasting solutions.
  • Quantitative workforce planning outputs supported by defensible statistical methodologies.
  • Validated machine learning and regression-based forecasting models.
  • Reporting and analytics outputs supporting manpower and resource planning decisions.

Ideal Candidate Profile

  • Experience developing machine learning and statistical forecasting models.
  • Strong background in regression analysis, econometrics, and workforce analytics.
  • Proficiency in Python for data science and machine learning applications.
  • Ability to explain complex modeling approaches to both technical and non-technical stakeholders.
  • Experience working with large government or enterprise workforce datasets is highly preferred.

Apply