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

Bespoke Labs

Machine Learning Engineer

Aurora, CO

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Aurora, CO · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Denver, CO

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Thornton, CO

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Denver, CO · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Thornton, CO · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Crowe LLP

Machine Learning Engineer

Denver, CO · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

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Machine Learning Engineer information

See Aurora, CO salary details

$32K

$130.8K

$196.6K

How much do machine learning engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning engineer in Aurora, CO is $130,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $157,500.00 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 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 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 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 Aurora, CO?

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

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

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

What job categories do people searching Machine Learning Engineer jobs in Aurora, CO look for?

The top searched job categories for Machine Learning Engineer jobs in Aurora, CO are:

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

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Aurora, CO as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $131,216 per year, or $63.1 per hour.

Machine Learning Engineer / Specialist

Data Computer Corporation of America

Littleton, CO • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 15 days ago

Job description

DCCA is a veteran-owned IT business specializing in providing innovative solutions to a variety of government agencies and commercial enterprises since 1982. DCCA is proud to offer career growth opportunities and a competitive compensation and benefits package. Visit our website at: www.dcca.com
Machine Learning - All Levels
Candidate must have an active TS/SCI to be considered
For over 40 years, DCCA has provided a broad range of IT services to government agencies and commercial enterprises, helping them to feel confident in their IT infrastructure. With DCCA, these organizations can be confident in the flexibility and skill of their IT partners, allowing them to upgrade their technology quickly and efficiently. Better yet, thanks to DCCA's successful track record, clients can rest assured knowing DCCA can tackle any problem with ease, allowing them to focus on the work that matters.
Internally, DCCA prides itself on a culture built on integrity and inclusivity, allowing its employees to build lasting skills and relationships. As a veteran owned business, DCCA knows the importance of recruiting employees with a wide range of backgrounds, allowing for every problem to be approached by a diverse array of perspectives. Join us and be part of a team that has a people first mentality and a dedication to excellence.
Key Tasks:
• Develop algorithms and conduct analysis using state-of-the-art machine learning/artificial intelligence tools
• Built and deploy AI algorithms especially in cloud environments (i.e. AWS)
• Establish scalable, efficient, and automated processes for large scale ML model deployments and integration.
Required Skills:
• The ideal candidate shall possess a bachelor's degree in Computer Science or Computer Engineering or other technical degree.
• A security clearance or the ability to obtain a security clearance is required. Candidates should have experience with large software systems and the full software development lifecycle.
• Experience with Python programming language
• Involved with setting up the data pipeline, machine learning framework-from data discovery to model deployment-in a big data environment.
• Experience deploying robust machine learning
• Built and deploy AI algorithms
• Exposure to machine learning concepts (feature engineering, text classification, and time series prediction) and frameworks with interest in learning more.
• Strong troubleshooting, debugging and problem-solving skills
• Ability to quickly explore, evaluate and learn new technologies
• Strong communication skills, verbal and written. Includes the ability to effectively communicate complex information to audiences with varying technical and system backgrounds and at multiple organizational levels
Desired Skills:
• Proficiency with Linux and Linux based software development tools
• Experience with virtualization (i.e. VMWare)
• Advanced degrees in engineering, computer science, or related fields
• Experience in providing solutions for building big data, machine learning, and AI infrastructures and models (i.e. AWS), to including containerization (i.e. Ducker, Kubernetes)
• Experience with machine learning lifecycle platforms (i.e AirFlow/MlFlow/ Kubeflow)
• Experience in Spark, Hive, Spark ML, Databricks, Natural Language Processing, Tensor Flow, and Deep Learning tools (i.e Tensorflow, Keras, Theano, PyTorch, Scikit-learn)
• Built frameworks for deployment of AI algorithms in other cloud environment- i.e Microsoft Azure and Google Cloud Platform
• CompTIA Security+ certification or equivalent
• CISSP certification or equivalent
Required Education/Certifcations:
• Associate Engineer (CT7): Entry-level to experienced, but still a learner typically with an advanced degree and 0 years experience or bachelors degree and 0-2+ years experience or equivalent
• Engineer 1 (CT8): Career level typically with an advanced degree and 3+ years experience or bachelors with 5+ years experience or equivalent
• Senior Engineer (CT9): Emerging authority typically with an advanced degree and 7+ years experience or bachelors with 9+ years experience or equivalent; applies extensive expertise
• Principal Engineer (CT10): Expert, authority in discipline typically with an advanced degree and 12+ years experience or bachelors with 14+ years experience or equivalent
• Engineer Consultant (CT11): Senior consultant to top management typically with an advanced degree and 18+ years experience or bachelors with 20+ years experience or equivalent
The proposed salary range for these positions in Colorado is 75,000 - 230,000 (CT7 - CT11). Final salary will be determined based on various factors. Our comprehensive benefit offerings include healthcare, retirement plan, paid disability and life insurance programs, employee assistance program, paid and unpaid leave programs, education assistance, and wellness initiatives.
At DCCA, we believe the key to providing our clients with unrivaled services starts with retaining top talent, something we're able to do through our consistent commitment to building culture and comprehensive benefits.
Competitive Compensation: While salary at DCCA is determined by various factors, we are committed to making sure our salaries reflect the skill and expertise of our employees. In addition, each year we perform an annual salary review ensuring pay is equitable across both the company and industry at large.
Growth Opportunities: DCCA makes it a priority to help you grow and support your career advancement. From upskilling programs to recertification support, to professional development opportunities, we're here to help you grow your career and create lasting relationships.
Emphasis on Inclusivity: DCCA's culture emphasizes respect, equity, and opportunity and is supported by an array of business resource groups and other opportunities for connection.
Empowering Health: DCCA's benefits which encompass healthcare, paid time off, and flexible 401(k) options encourage you to live a healthy and fulfilling life, both in and outside of work. Learn more about our total benefits package on our Benefits page.
Mission Focused Work: From the defense industry to health IT management, DCCA allows you to work on innovative projects whose outcomes improve people's lives and solve today's IT problems.
Equal Opportunity Employer including Disability/Vets

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