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Nonprofit Machine Learning Jobs in Colorado (NOW HIRING)

Boulder Community Health

Pharmacist

Boulder, CO · On-site

$66.54 - $99.81/hr

They will also engage in continuous learning, contribute to hospital committees, and stay current ... About Boulder Community Health Boulder Community Health (BCH) is a not-for-profit healthcare ...

Boulder Community Health

Pharmacist

Boulder, CO · On-site

$47.70/hr

They will also engage in continuous learning, contribute to hospital committees, and stay current ... About Boulder Community Health Boulder Community Health (BCH) is a not-for-profit healthcare ...

Boulder Community Health

Pharmacist

Boulder, CO · On-site

$47.70/hr

They will also engage in continuous learning, contribute to hospital committees, and stay current ... About Boulder Community Health Boulder Community Health (BCH) is a not-for-profit healthcare ...

Lochner

Airport Project Engineer

Centennial, CO · Hybrid

Engage in continuous learning within a thriving aviation environment. * Leadership Opportunities ... Lochner Cares Non-Profit 501c3 * Education and Training Assistance * Employee Assistance Program

Conflux Systems

Director of Facilities

Alamosa, CO · On-site

$100K - $140K/yr

Inspect machines and equipment to conform to operational standards and ensure preventative ... Keep learning by utilizing our education program benefits to foster your growth and development.

InstantServe LLC

Director of Facilities

Alamosa, CO · On-site

Inspect machines and equipment to conform to operational standards and ensure preventative ... Keep learning by utilizing our education program benefits to foster your growth and development.

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All JobsNonprofit Machine Learning JobsNonprofit Machine Learning Jobs in Colorado

Nonprofit Machine Learning information

How does the role of a machine learning specialist in a nonprofit differ from similar roles in the private sector?

In a nonprofit setting, a Machine Learning Specialist often works with limited resources and must prioritize projects that directly support the organization's mission, such as optimizing donor outreach, improving program delivery, or analyzing social impact. Collaboration with program staff, fundraisers, and volunteers is common, requiring strong communication skills to translate technical insights into actionable strategies. Unlike the private sector, where profitability may be the primary focus, success in a nonprofit environment is measured by social outcomes and mission alignment. This role offers the opportunity to see the tangible impact of your work and can lead to leadership or strategic roles within the organization as you demonstrate value.

What is the difference between Nonprofit Machine Learning vs Nonprofit Data Analyst?

AspectNonprofit Machine LearningNonprofit Data Analyst
Required SkillsMachine learning algorithms, programming (Python, R), statistical modelingData visualization, statistical analysis, Excel, SQL
Work EnvironmentResearch-focused, technical teams, data science projectsReporting, data interpretation, stakeholder communication
Employer & Industry UsageTech-driven nonprofits, research institutionsCharities, advocacy groups, social service agencies

Nonprofit Machine Learning roles focus on developing predictive models and advanced algorithms, requiring programming and statistical skills. Nonprofit Data Analysts primarily interpret and visualize data to inform decisions. While both roles support nonprofit missions, Machine Learning positions are more technical and research-oriented, whereas Data Analysts focus on data reporting and communication.

What are the key skills and qualifications needed to thrive as a nonprofit machine learning specialist, and why are they important?

To thrive as a Nonprofit Machine Learning Specialist, you need a strong background in data analysis, statistics, and machine learning, typically supported by a degree in computer science or a related field. Proficiency with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with donor management or CRM systems are highly valuable. Strong communication, problem-solving, and collaboration skills help translate technical solutions into meaningful impact for nonprofit missions. These abilities are crucial for leveraging data-driven insights to optimize resources, drive fundraising, and advance organizational goals.

What is a nonprofit machine learning professional?

A Nonprofit Machine Learning professional is someone who applies machine learning and data science techniques to help nonprofit organizations achieve their missions. This can include using predictive analytics to improve fundraising, optimize program delivery, or analyze the impact of initiatives. They often work with large datasets, develop algorithms, and collaborate with program staff to find data-driven solutions to social challenges. Their work helps nonprofits make more informed decisions and maximize their impact.
What are popular job titles related to Nonprofit Machine Learning jobs in Colorado? For Nonprofit Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Nonprofit Machine Learning jobs in Colorado look for? The top searched job categories for Nonprofit Machine Learning jobs in Colorado are:
Nonprofit Machine Learning jobs near you
Infographic showing various Nonprofit Machine Learning job openings in Colorado as of August 2026, with employment types broken down into 11% Internship, 63% Full Time, and 26% Part Time. Highlights an 89% In-person, and 11% Remote job distribution.

AI Developer/Engineer

Connect for Health Colorado

Denver, CO • On-site

$111K - $145K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 15 days ago

Job description

Job Type
Full-time
Description
Connect for Health has a great opportunity for an AI Developer/Engineer.
Connect for Health Colorado is a public, non-profit entity established by the Colorado General Assembly in 2011 to create a health insurance Marketplace. Since 2013, we've been helping individuals, families, and small employers compare plans, apply for financial help, and buy health insurance. As Colorado's official health insurance marketplace, we are the only place to apply for financial help to lower the monthly cost of premiums. Customers can shop online; get help by phone or online chat from Customer Service Center representatives; and access expert help from a statewide network of certified Brokers and community-based Assisters. Our mission is to increase access, affordability, and choice for individuals and small employers purchasing health insurance in Colorado. For more information: ConnectforHealthCO.com
Position Summary:
As a member of the Architecture team, the AI Developer/Engineer supports the Senior AI Developer/Engineer and partners with cross-functional teams to design, develop, and enhance AI and machine learning capabilities that improve internal operations and staff productivity. This role focuses on delivering incremental improvements, prototypes, and staff-facing tools (including Streamlit-based applications), implementing retrieval-augmented generation (RAG) patterns, and integrating solutions with AWS services, Amazon Q (as applicable), and Snowflake (including Cortex where appropriate). The AI Developer/Engineer contributes to secure, responsible, and maintainable AI-enabled applications through documentation, testing, monitoring, and continuous optimization.
Position Responsibilities:
  • Support the Senior AI Developer/Engineer and CIO-sponsored initiatives by delivering enhancements, prototypes, and internal tools that improve staff efficiency and consumer support.
  • Collaborate with business owners and technical teams to gather requirements, document user stories/acceptance criteria, and translate needs into implementable AI/ML solutions.
  • Develop and enhance internal AI-enabled applications and demos using Streamlit and related web frameworks for knowledge assistance, workflow automation, and analytics.
  • Implement and maintain retrieval-augmented generation (RAG) solutions, including document ingestion, chunking, embeddings, vector search, and prompt orchestration.
  • Integrate AI applications with AWS services and data platforms, including Amazon Aurora/RDS PostgreSQL, S3, and approved AI services; follow security and access control standards.
  • Use Snowflake (including Snowflake Cortex where appropriate) to support AI/ML workloads, data preparation, and secure data access patterns.
  • Leverage Amazon Q (as applicable) and related enterprise assistant patterns to support internal users and knowledge discovery.
  • Contribute to semantic/domain models (taxonomies, metadata, reference data) that improve retrieval quality and reporting.
  • Write clean, testable Java code; build APIs/services; and contribute to CI/CD pipelines and automated testing.
  • Monitor AI application performance (quality, latency, cost) and assist with troubleshooting, incident response, and continuous improvement.
  • Ensure responsible AI practices: privacy, PII/PHI handling, bias awareness, auditability, and documentation; follow SOPs and security policies.
  • Participate in IT operations activities (standups, change management, documentation, knowledge transfer) and support end users with training and adoption.

Requirements
  • Colorado resident.
  • 3+ years of software engineering or data engineering experience, including building production Java applications.
  • Hands-on experience with AI/ML or generative AI (LLMs, embeddings, RAG) through professional work, projects, or equivalent experience.
  • Experience building lightweight web apps or APIs using Streamlit, FastAPI/Flask, or similar frameworks.
  • Working knowledge of AWS (IAM, S3, logging/monitoring, and common deployment patterns); experience with PostgreSQL/Aurora/RDS preferred.
  • Experience with SQL and data platforms; familiarity with Snowflake and Snowflake Cortex is a plus.
  • Familiarity with version control (Git), CI/CD, and automated testing practices.
  • Understanding of secure software development and handling sensitive data; ability to follow organizational security/privacy requirements.
  • Strong communication skills and ability to work with stakeholders to refine requirements and support user adoption; bachelor's degree (or equivalent experience) preferred.

Work Environment:
  • Currently working remotely.
  • The Connect for Health Colorado office is in the North Tech Center area of Denver, near the intersection of I-25 and I-225.
  • Work schedule may include some non-traditional hours, weekends, and evening events.
  • Core office hours are typically 8 am-5 pm with some flexibility.

Total Compensation:
Connect for Health Colorado offers a competitive benefits package. Employees are offered a robust benefits package and may elect from various offerings to tailor a package best suited to their individual needs. Connect for Health Colorado employees are eligible to participate in the organization's 403(b) plan and are additionally provided with paid time off, short-term and long-term disability, and life insurance. The salary range for this position is $111,240 - $145,230 yearly.
To Apply:
Please apply on our Career page at https://connectforhealthco.com/about-us/employment/ .
Connect for Health Colorado is an equal opportunity employer (EOE). Connect for Health Colorado may, at its discretion, conduct a background check on any workforce member and/or require job candidates to successfully complete a background check as a condition of employment.
Application Deadline: This will be posted for a minimum of 30 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. *Post date: 03/27/2026
Salary Description
$111,240 - $145,230

Apply