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Freelance Machine Learning Engineer Jobs in Colorado

Capital Rx

Senior Machine Learning Engineer II

Denver, CO · On-site

$180K - $225K/yr

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer II. We are looking for an experienced software engineer with machine learning ...

Signifyd

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The Senior Machine Learning Engineer will join our ML team. This team is responsible for building, maintaining, and monitoring the production ML models and offline experimentation frameworks that are ...

AppFolio

CO · On-site

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to help move forward the ML platform that every AI initiative at AppFolio depends on -- training, fine-tuning, inference, RAG ...

AppFolio

Staff Machine Learning Engineer

Denver, CO · On-site

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to help move forward the ML platform that every AI initiative at AppFolio depends on -- training, fine-tuning, inference, RAG ...

AppFolio

Sr. Machine Learning Engineer

Denver, CO · On-site

$107K - $147K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

General Motors

Staff Machine Learning Engineer - Mapping

Denver, CO · On-site

$185 - $335/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Role We are looking for a Staff Machine Learning Engineer to serve as a technical leader for automated map reconstruction within our Mapping Engineering team. In this role, you will architect and ...

Posted today

Quora

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

AppFolio

CO · On-site

$107K - $147K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

Quora

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

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All JobsMachine Learning Engineer JobsFreelance Machine Learning Engineer JobsFreelance Machine Learning Engineer Jobs in Colorado

Freelance Machine Learning Engineer information

See Colorado salary details

$15

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$139

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

As of Aug 17, 2026, the average hourly pay for freelance machine learning engineer in Colorado is $50.16, according to ZipRecruiter salary data. Most workers in this role earn between $25.53 and $64.95 per hour, depending on experience, location, and employer.

What does a freelance machine learning engineer do?

A Freelance Machine Learning Engineer designs, develops, and implements machine learning models and algorithms for clients on a project basis. They work independently to analyze data, build predictive models, and help businesses solve complex problems using AI and machine learning techniques. Their responsibilities may also include data preprocessing, model evaluation, and deploying solutions into production environments. Freelance Machine Learning Engineers often collaborate remotely with teams and must manage their own schedules and client relationships.

What are the key skills and qualifications needed to thrive as a freelance machine learning engineer?

To thrive as a Freelance Machine Learning Engineer, you need expertise in programming (especially Python), a solid grasp of machine learning algorithms, and a relevant academic background such as a degree in computer science, mathematics, or engineering. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP, Azure), and experience with version control systems are typically required. Strong problem-solving, self-management, and client communication skills help set successful freelancers apart. These competencies are crucial for delivering effective solutions, managing projects independently, and building client trust in a competitive market.

How do freelance machine learning engineers typically manage client expectations and project scopes?

Freelance machine learning engineers often work with clients who may not have a deep technical understanding of AI or data science. A common challenge is clearly defining the project scope and deliverables at the outset, ensuring both parties understand what is feasible given the data, time, and budget constraints. Successful freelancers use regular progress updates, milestone-based deliverables, and transparent communication to manage expectations and avoid scope creep. Building trust through clear documentation and setting realistic timelines also helps foster long-term client relationships.

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

AspectFreelance Machine Learning EngineerData Scientist
CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are a plusUsually holds a degree in statistics, data science, or related areas; certifications in data analysis or visualization are common
Work EnvironmentIndependent, project-based work often remotely for various clientsOften employed full-time in organizations or consulting roles, sometimes freelance
Industry UsageUsed across tech, finance, healthcare, and startups for deploying ML modelsApplied in research, analytics, and strategic decision-making across industries

Freelance Machine Learning Engineers focus on developing and deploying ML models independently for diverse clients, while Data Scientists analyze data to extract insights, often working within organizations. Both roles require strong technical skills, but their work scope and environment differ significantly.

What are the most commonly searched types of Machine Learning Engineer jobs in Colorado?

The most popular types of Machine Learning Engineer jobs in Colorado are:

What are popular job titles related to Freelance Machine Learning Engineer jobs in Colorado?

For Freelance Machine Learning Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Freelance Machine Learning Engineer jobs in Colorado look for?

The top searched job categories for Freelance Machine Learning Engineer jobs in Colorado are:

Freelance Machine Learning Engineer jobs near you
Infographic showing various Freelance Machine Learning Engineer job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $104,342 per year, or $50.2 per hour.

Senior Machine Learning Engineer II

Capital Rx

Denver, CO • On-site

$180K - $225K/yr

Other

Posted 8 days ago

Job description

About Judi Health

Judi Health is a health technology company providing benefit administration solutions to employers, unions, health plans, and government entities. Judi Health replaces fragmented, outdated systems with the industry's first Unified Claims Processing architecture, seamlessly consolidating pharmacy and medical benefit administration on a single, secure platform. By delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery, Judi Health helps clients achieve unprecedented operational efficiency and service levels.
At Judi Health, we're deploying the infrastructure our country needs to deliver the healthcare we all deserve. We are the intelligence platform powering benefits plans for millions of Americans and proudly leading the next generation of care. To learn more, visit www.judi.health.

Location:Hybrid 3 days (offices in NYC, Denver, CO and Charlotte, NC area)

Position Summary:

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer II. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services.

In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare.

Responsibilities:

  • Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.

  • Develop and maintain backend services using Python, focusing on AI-driven applications.

  • Design and implement APIs for seamless integration with AI models and services.

  • Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning.

  • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.

  • Participate in code reviews, testing, and quality assurance processes.

  • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services.

  • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.

  • Document and communicate development processes, system designs, and architectural decisions.

  • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.

Required Qualifications:

  • 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 production deployment.

  • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.

  • Strong proficiency in Python and familiarity with ML libraries such as PyTorch.

  • Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies

  • Familiarity with cloud platforms such as AWS or Azure.

  • Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience developing and fine-tuning prompts on any of the GenAI services

  • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.

  • Passion for customer, innovation, product quality, service excellence, and test engineering

  • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.

  • Experience working with microservices/an API-based application paradigm.

  • Good written communication skills that enable collaboration in a remote environment.

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

New York, NY Salary Range
$180,400—$225,500 USD
Denver, CO Salary Range
$165,600—$207,000 USD
Charlotte, NC Salary Range
$150,400—$188,000 USD

All employees are responsible for adherence to the Judi Health Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found athttps://www.judi.health/legal/privacy-policy.

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