Machine Learning Engineer Jobs in Colorado
Machine Learning Engineer jobs in Colorado are among the most active in the country, concentrated in aerospace and defense, financial technology, health technology, and cloud infrastructure across a market that ranges from junior roles to principal-level research positions. Denver, Boulder, and Colorado Springs are the leading hiring metros, anchored by employers such as Lockheed Martin, Charles Schwab, and Palantir, which maintain substantial technical operations in the state. The most in-demand specialties are large language model development, computer vision for defense applications, and MLOps engineering. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 28+ Machine Learning Engineer jobs
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we'd love to talk.
How You'll Contribute:
- Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation
- Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace
- Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction
- Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions
- Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets
- Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale
- Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows
- Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team
- Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production
What You'll Bring to Xometry:
- Bachelor's degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus
- 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision
- Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs)
- Hands-on experience with multimodal data (text, images, 3D)
- Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy)
- Solid grounding in probability, statistics, and optimization for generative modeling
- Experience deploying ML and AI models using cloud microservice architecture (AWS preferred)
- Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred)
- A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders
- Background in manufacturing, supply chain, or related industries is a plus — but curiosity and drive matter more
- Must be a U.S. Citizen or Green Card holder (ITAR compliance)
The estimated base salary range for new hires into this role is $140,000-$230,000 annually + bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we'd love to talk.
How You'll Contribute:
- Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation
- Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace
- Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction
- Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions
- Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets
- Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale
- Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows
- Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team
- Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production
What You'll Bring to Xometry:
- Bachelor's degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus
- 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision
- Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs)
- Hands-on experience with multimodal data (text, images, 3D)
- Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy)
- Solid grounding in probability, statistics, and optimization for generative modeling
- Experience deploying ML and AI models using cloud microservice architecture (AWS preferred)
- Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred)
- A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders
- Background in manufacturing, supply chain, or related industries is a plus — but curiosity and drive matter more
- Must be a U.S. Citizen or Green Card holder (ITAR compliance)
The estimated base salary range for new hires into this role is $140,000-$230,000 annually + bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
See All 28 Machine Learning Engineer Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
Find JobsMachine Learning Engineer Jobs by City in Colorado
Where Colorado roles are concentrated, by current openings.
Machine Learning Engineer Job Market in Colorado
A snapshot from current Colorado openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Science & Research
- Electronics & Hardware
- Aerospace & Defense
- Technology & Software
- Transportation & Logistics
What Colorado Employers Look For
The qualifications that appear most often in machine learning engineer jobs across Colorado.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and core ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing, training, and deploying predictive models in production environments
- Familiarity with cloud platforms including AWS, Google Cloud, or Microsoft Azure ML services
- Strong background in data wrangling, feature engineering, and statistical analysis at scale
- Ability to communicate model results and limitations clearly to non-technical stakeholders
Machine Learning Engineer Jobs in Colorado: Frequently Asked Questions
How do you become a machine learning engineer in Colorado?
Machine learning engineering in Colorado requires no state-issued license, so entry centers on education and demonstrated technical ability. Most Colorado employers expect at least a bachelor's degree in computer science, mathematics, or a related field, and many prefer a master's for research-heavy or senior positions. Building a public portfolio of deployed projects on platforms like GitHub, contributing to open-source ML libraries, and earning vendor certifications from AWS, Google, or Microsoft are the credentials that move Colorado applications forward.
How much do machine learning engineers make in Colorado?
Machine learning engineers in Colorado earn a median of about $138,390 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $96,480 for the lowest 10% to over $213,010 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire machine learning engineers in Colorado?
Employers hiring machine learning engineers in Colorado right now include Apple, Angi, and Xometry, based on current listings on Migrate Mate as of September 2026. Colorado's mix of aerospace primes, financial services firms, and health technology companies means consistent demand for ML talent at all experience levels.
Which Colorado cities have the most machine learning engineer jobs?
Denver, Boulder, and Colorado Springs have the most machine learning engineer openings in Colorado. Denver's density of fintech, cloud, and enterprise technology companies drives the bulk of listings, Boulder's research university ecosystem and startup culture support a high concentration of roles, and Colorado Springs benefits from the presence of major defense contractors and military-adjacent technology firms that rely heavily on computer vision and predictive systems.
Are there remote machine learning engineer jobs in Colorado?
Yes, and more than most fields. Machine learning engineering is fundamentally desk and compute work, making it well suited to remote arrangements. About 63% of machine learning engineer openings tied to Colorado are remote or hybrid as of September 2026, reflecting how broadly the industry has normalized distributed teams. Model development, experimentation, and code review transfer cleanly to remote settings, though roles involving classified defense systems or on-site GPU clusters typically require in-person presence.
How can I get hired as a machine learning engineer in Colorado with little or no experience?
The most realistic entry path is through a data analyst or software engineer role at a Colorado company that already runs ML workloads, then transitioning internally once you have demonstrated relevant skills. Large Colorado employers such as Lockheed Martin, Centura Health, and Ibotta have historically taken new graduates from University of Colorado, Colorado State, and Denver's coding and data programs into junior data or engineering roles that feed ML pipelines. A portfolio of end-to-end projects, a cloud ML certification, and familiarity with MLflow or Kubeflow signal readiness to hiring managers who might otherwise pass on candidates without a formal ML title.
Where can I find and apply to machine learning engineer jobs in Colorado?
You can find and apply to machine learning engineer jobs in Colorado on Migrate Mate, which lists current Colorado openings updated in real time. Search by city, experience level, or specialty to narrow results to roles that match your background, then apply directly to the ones that fit.
See All 28 Machine Learning Engineer Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
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