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Machine Learning Engineer Jobs in Colorado (NOW HIRING)

Alignerr

Machine Learning Engineer

Denver, CO · Remote

$50 - $70/hr

Machine Learning Engineer - AI Data Trainer * Location: Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Cymertek

Machine Learning Engineer

Aurora, CO

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Cymertek

Machine Learning Engineer

Aurora, CO

Machine Learning Engineer LOCATIONAurora, CO 80014 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a talented and innovative Machine ...

True Anomaly

Machine Learning Engineer

Denver, CO · On-site

As a Machine Learning Engineer, you will contribute to the design and development of machine learning and AI capabilities, supporting the development of models and pipelines for object classification ...

My3Tech Inc

Machine Learning Engineer

Denver, CO

MGMA is seeking a Machine Learning Engineer to enhance and expand its data ecosystem through intelligent automation and predictive modeling. This role will focus on improving existing Azure-based ML ...

nou Systems

Machine Learning Engineer

Colorado Springs, CO · On-site +1

$100K - $160K/yr

We are pleased to announce an opening for a Machine Learning Engineer who will join our team in Colorado Springs, Colorado. You will help design, develop, and deploy machine learning capabilities ...

The Marlin Alliance

Sr Machine Learning Engineer

Denver, CO

$107K - $147K/yr

Senior Machine Learning Engineer The Marlin Alliance, Inc. is seeking a talented and experienced Senior Machine Learning Engineer to join our team. The successful candidate will be expected to design ...

Ibotta

Principal Machine Learning Engineer

Denver, CO · On-site +1

$228K - $253K/yr

Ibotta is seeking a Principal Machine Learning Engineer to join our Core Data & Analytics team and contribute to our mission to Make Every Purchase Rewarding. We're looking for someone who has a ...

Workday

Machine Learning Engineer III

Boulder, CO · On-site

About the Role As a Machine Learning Engineer in Agent Factory, you'll design and build the core ML systems behind Workday's next generation of AI agents. Working within a small, senior, cross ...

Ibotta

$228K - $253K/yr

Ibotta is seeking a Principal Machine Learning Engineer to join our Core Data & Analytics team and contribute to our mission to Make Every Purchase Rewarding. We're looking for someone who has a ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Colorado

Machine Learning Engineer information

See Colorado salary details

$33.1K

$135.4K

$203.5K

How much do machine learning engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for machine learning engineer in Colorado is $135,403.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $163,000.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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 Colorado? The most popular types of Machine Learning Engineer jobs in Colorado are:
What are popular job titles related to Machine Learning Engineer jobs in Colorado? For Machine Learning Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Colorado look for? The top searched job categories for Machine Learning Engineer jobs in Colorado are:
What cities in Colorado are hiring for Machine Learning Engineer jobs? Cities in Colorado with the most Machine Learning Engineer job openings:
What are popular job titles related to Machine Learning Engineer jobs in CO? For Machine Learning Engineer jobs in CO, the most frequently searched job titles are:
Machine Learning Engineer jobs near you

Machine Learning Engineer

Alignerr

Denver, CO • Remote

$50 - $70/hr

Other

Posted 7 days ago

Job description

Machine Learning Engineer - AI Data Trainer
  • Location: Remote
About the job
At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.
This initiative focuses on recording how an AI reasons and executes actions sequentially to handle practical assignments. Specialists draft precise, organized logs demonstrating strategizing, tool implementation, and choice-making, producing the data required to teach models to solve problems consistently in actual environments.
Organization
: Alignerr
Position
: Machine Learning Engineer - AI Data Trainer
Type
: Hourly Contract
Compensation
: $50-$70 /hour
Location
: Remote
Commitment
: 10-40 hours/week
What You'll Do:
  • Draft precise, organized logical logs for sophisticated technical challenges.
  • Record sequential strategizing and choice-making workflows.
  • Generate training datasets that illustrate proficient tool interaction for AI models.
Requirements:
  • Professional expertise in Machine Learning, Engineering, or a technical discipline.
  • Superb skill in explaining intricate logical processes and methodologies clearly.
  • Critical thinking skills to audit and refine AI-generated reasoning steps.
  • Master's Degree or PhD
Preferred
:
  • Prior experience with data annotation, data quality, or evaluation systems.
  • Master's Degree or PhD
Why Join Us:
  • Competitive pay and flexible remote work.
  • Collaborate with a team working on cutting-edge AI projects.
  • Exposure to advanced LLMs and how they're trained.
  • Freelance perks: autonomy, flexibility, and global collaboration.
  • Potential for contract extension.
Application Process (Takes 15-20 min)
  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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