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Freelance Machine Learning Quant Jobs in Denver, CO

... and quantitative analysts. Foster a culture of innovation, continuous learning, and collaboration ... Expertise in machine learning, deep learning, and statistical modeling techniques (e.g., regression ...

Graduate degree in atmospheric science, meteorology, computer science, or a related quantitative field. * 2+ years of experience developing machine learning approaches for weather prediction or ...

Graduate degree in atmospheric science, meteorology, computer science, or a related quantitative field. * 2+ years of experience developing machine learning approaches for weather prediction or ...

Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. * Minimum 4+ years of experience in industry with a strong focus on ML solutions development and ...

Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. * Minimum 6+ years of experience in industry with a strong focus on ML solutions development and ...

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107K - $147K/yr

The Senior Machine Learning Engineer will join our ML team. This team is responsible for building ... Education: A degree in Computer Science, Statistics, or a comparable quantitative field.

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Freelance Machine Learning Quant information

See Denver, CO salary details

$15

$49

$136

How much do freelance machine learning quant jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for freelance machine learning quant in Denver, CO is $49.10, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $63.61 per hour, depending on experience, location, and employer.

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 Denver, CO?

The most popular types of Machine Learning Quant jobs in Denver, CO are:

What are popular job titles related to Freelance Machine Learning Quant jobs in Denver, CO?

For Freelance Machine Learning Quant jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Freelance Machine Learning Quant jobs in Denver, CO look for?

The top searched job categories for Freelance Machine Learning Quant jobs in Denver, CO are:

What cities near Denver, CO are hiring for Freelance Machine Learning Quant jobs?

Cities near Denver, CO with the most Freelance Machine Learning Quant job openings:

AVP, Machine Learning & Modeling

Englewood, CO • On-site

Vizient
Health Care and Social Assistance • 501 - 1,000 employees

$156K - $290K/yr

Full-time

Posted 8 days ago


Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

In this role, you will lead the design, development, and implementation of advanced analytics, statistical modeling, and artificial intelligence solutions to drive data-informed decision-making across the enterprise. Oversee teams of data scientists, modelers, and ML engineers to deliver innovative and scalable solutions that support strategic business objectives, operational excellence, and client value creation. Serve as a key thought leader, guiding the organization's data science strategy, ensuring model governance and compliance, and advancing the use of cutting-edge machine learning methodologies.

Role Responsibilities:

Strategic Leadership and Vision

Provide strategic direction for the organization's machine learning and modeling initiatives. Develop and execute a roadmap for data-driven innovation aligned with corporate goals and emerging technologies in AI, predictive analytics, and optimization.

Model Development and Deployment

Oversee the design, development, and validation of statistical, econometric, and machine learning models that support forecasting, risk assessment, operational efficiency, and client performance improvement. Ensure model accuracy, interpretability, and ethical use of data.

Model Governance and Compliance

Establish and maintain robust model governance frameworks, including documentation, version control, validation, and ongoing performance monitoring. Partner with risk management and compliance teams to ensure adherence to regulatory and ethical standards.

Team Development and Leadership

Lead and mentor a multidisciplinary team of data scientists, ML engineers, and quantitative analysts. Foster a culture of innovation, continuous learning, and collaboration while ensuring alignment with business priorities and project timelines.

Cross-Functional Collaboration

Collaborate with business leaders, IT, and analytics stakeholders to identify opportunities for data science applications that drive measurable business outcomes. Translate complex analytical results into actionable insights for executive decision-making.

Research and Innovation

Stay at the forefront of emerging AI and machine learning technologies. Evaluate and integrate new tools, frameworks, and methodologies to enhance model performance and scalability. Promote experimentation and best practices in applied data science.

Requirements:

  • Bachelors or Masters or Doctorate degree in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Economics, or a related quantitative field preferred
  • Expertise in machine learning, deep learning, and statistical modeling techniques (e.g., regression, time series, NLP, ensemble methods, neural networks).
  • Strong proficiency in Python, SQL, and with cloud-based AI/ML platforms (AWS SageMaker, Azure ML, Databricks, etc.)
  • Knowledge of ML Ops, model governance, and lifecycle management best practices.
  • Demonstrated ability to translate business problems into analytical frameworks and deliver measurable outcomes.
  • Excellent leadership, communication, and stakeholder management skills, with the ability to present complex findings to non-technical audiences.
  • Proven experience building and leading high-performing data science teams in a large, matrixed organization.
  • Familiarity with healthcare, financial, or operational analytics.

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $156,500.00 to $290,100.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.