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Machine Learning Engineer Jobs in Longmont, CO (NOW HIRING)

Vantor

Senior Algorithm Engineer

Westminster, CO · On-site

$106K - $145K/yr

... machine learning and computer vision technologies. • Collaborate with software engineers, geospatial specialists, and product teams to develop scalable solutions. • Analyze large datasets and ...

Apple

Senior ML Software Engineer - Apple Watch

Boulder, CO · On-site

$127K - $167K/yr

We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer ...

Toyon

Deep Learning Algorithm Developer

Fort Collins, CO

$100K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Toyon has openings for researchers and developers to solve challenging real-world problems using Artificial Intelligence (AI) / Machine Learning (ML) techniques. Experience in Reinforcement Learning ...

Apple

Senior ML Software Engineer, Watch Software

Boulder, CO · On-site

$127K - $167K/yr

We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Longmont, CO

$103K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques ...

Vantor

Senior Algorithm Engineer

Westminster, CO · On-site

$124K - $165K/yr

  • Retirement

Research, prototype, and deploy innovative solutions leveraging machine learning and computer vision technologies. * Collaborate with software engineers, geospatial specialists, and product teams to ...

Maxar

Senior Algorithm Engineer

Westminster, CO · On-site +1

$124K - $165K/yr

  • Retirement

Research, prototype, and deploy innovative solutions leveraging machine learning and computer vision technologies. * Collaborate with software engineers, geospatial specialists, and product teams to ...

InvestedintheMission

Senior Algorithm Engineer

Westminster, CO · On-site

$124 - $181.50/hr

  • Retirement

Research, prototype, and deploy innovative solutions leveraging machine learning and computer vision technologies. * Collaborate with software engineers, geospatial specialists, and product teams to ...

Apple

Senior ML Software Engineer - Apple Watch

Boulder, CO

$175K - $308K/yr

  • Medical

  • Dental

  • Retirement

We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer ...

Apple

Senior ML Software Engineer - Apple Watch

Boulder, CO

$175K - $308K/yr

  • Medical

  • Dental

  • Retirement

We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Longmont, CO

Machine Learning Engineer information

See Longmont, CO salary details

$31.1K

$127.3K

$191.3K

How much do machine learning engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for machine learning engineer in Longmont, CO is $127,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $153,200.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Longmont, CO?

The most popular types of Machine Learning Engineer jobs in Longmont, CO are:

What are popular job titles related to Machine Learning Engineer jobs in Longmont, CO?

For Machine Learning Engineer jobs in Longmont, CO, the most frequently searched job titles are:

What cities near Longmont, CO are hiring for Machine Learning Engineer jobs?

Cities near Longmont, CO with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Longmont, CO as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $127,294 per year, or $61.2 per hour.

Senior Algorithm Engineer

Vantor

Westminster, CO • On-site

$106K - $145K/yr

Full-time

Re-posted 18 days ago

Job description

Job Summary:
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. The company is seeking a highly skilled Algorithm Engineer to develop next-generation solutions in computer vision, geospatial analytics, and photogrammetry.
Responsibilities:
• Design, develop, and optimize computer vision and image processing algorithms.
• Apply advanced mathematical and statistical techniques to solve complex engineering problems.
• Develop production-quality software using C++ and/or Python.
• Research, prototype, and deploy innovative solutions leveraging machine learning and computer vision technologies.
• Collaborate with software engineers, geospatial specialists, and product teams to develop scalable solutions.
• Analyze large datasets and imagery to improve system accuracy and performance.
• Participate in system design, code reviews, and technical architecture discussions.
• Contribute to the development of advanced AI-enabled workflows and engineering practices.
Qualifications:
Required:
• Bachelors degree in Computer Science, Computer Engineering, Applied Mathematics, Physics, Remote Sensing, Geospatial Sciences, or a related technical field.
• Minimum of 5 years of relevant industry or research experience.
• Strong mathematical background with demonstrated ability to apply advanced mathematical concepts to engineering challenges.
• Professional experience developing computer vision, image processing, or machine learning solutions.
• Strong programming skills in C++ and/or Python.
• Experience designing, implementing, and validating complex algorithms.
• Familiarity with AI-assisted software development tools and AI agents used in coding workflows.
• Excellent problem-solving and analytical skills.
• Ability to communicate technical concepts effectively across multidisciplinary teams.
Preferred:
• Experience with geospatial, photogrammetric, or remote sensing applications.
• Masters or Ph.D. in a related technical discipline.
• Experience with machine learning frameworks and modern AI technologies.
• Experience working with cloud-based processing environments.
• Experience transitioning research concepts into production software systems.
Company:
A spatial intelligence firm. Founded in 2025, the company is headquartered in Denver, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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