ML Engineer Jobs in Colorado
ML Engineer jobs in Colorado concentrate in aerospace and defense, financial technology, and health technology, with Denver, Boulder, and Colorado Springs driving the majority of hiring across experience levels from junior to principal. Lockheed Martin, Charles Schwab, and DaVita are among the established employers with deep Colorado roots that consistently recruit ml engineers. The most in-demand specialties include natural language processing, computer vision, and MLOps platform engineering. See the openings below and apply to the ones that match your experience.
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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 ML Engineer Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
Find ML Engineer JobsML Engineer Jobs by City in Colorado
Where Colorado roles are concentrated, by current openings.
ML 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 ML engineer jobs across Colorado.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing, training, and deploying production machine learning models at scale
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for ML pipeline development
- Strong command of SQL and experience working with large structured and unstructured datasets
- Ability to communicate model performance, limitations, and trade-offs clearly to non-technical stakeholders
ML Engineer Jobs in Colorado: Frequently Asked Questions
How do you become a ml engineer in Colorado?
Becoming a ml engineer in Colorado requires no state-issued license, so hiring is driven by education and demonstrated technical ability. Most Colorado employers expect at minimum a bachelor's degree in computer science, mathematics, or a related field, though many competitive candidates hold a master's. Building a portfolio of end-to-end ML projects, contributing to open-source repositories, and earning cloud certifications from AWS or Google Cloud strengthens candidacy considerably in the Colorado market.
Which companies hire ml engineers in Colorado?
Employers hiring ml engineers in Colorado right now include Apple, Angi, and Xometry, based on current listings on Migrate Mate as of September 2026. Colorado's aerospace, fintech, and health technology sectors generate particularly consistent demand for ml engineers across the state.
Which Colorado cities have the most ml engineer jobs?
Denver, Boulder, and Colorado Springs have the most ml engineer openings in Colorado. Denver anchors the market as the state's largest tech and financial services hub, Boulder draws demand through its concentration of research-oriented startups and university-affiliated institutions, and Colorado Springs contributes through its substantial aerospace and defense employer base including operations tied to military installations.
Are there remote ml engineer jobs in Colorado?
Yes, and more than most fields. About 63% of ml engineer openings tied to Colorado are remote or hybrid as of September 2026, reflecting that the core work of model development, experimentation, and pipeline engineering is largely computer-based. Roles focused on MLOps, research, and analytics tend to offer the most location flexibility, while positions requiring close collaboration with embedded hardware or on-site data infrastructure are more likely to be in-office.
How can I get hired as a ml engineer in Colorado with little or no experience?
The most realistic entry path is through a data analyst or software engineering role at a Colorado employer that has an internal ML team, then transitioning once you have project exposure. Large Colorado employers in health technology and aerospace, such as those headquartered in the Denver metro, often post junior ML or data science associate roles for recent graduates. A strong GitHub portfolio, a completed Kaggle competition, or a relevant master's thesis targeting a Colorado industry vertical gives candidates without professional ML experience a meaningful edge.
Where can I find and apply to ml engineer jobs in Colorado?
You can find and apply to ml engineer jobs in Colorado on Migrate Mate, which lists current openings from Colorado employers. Search the listings to find roles that match your background and apply directly to the ones that fit.
See All 28 ML Engineer Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
Find ML Engineer Jobs