ZipRecruiter

Log In

1

Machine Learning Engineer Jobs in Castle Rock, CO

Paradigm

Senior ML Ops Engineer

Denver, CO · On-site

$123K - $170K/yr

... end-to-end machine learning lifecycle, including model training, deployment, monitoring, and ... Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment ...

Cymertek

Data Scientist / Cloud Software Engineer

Aurora, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientist / Cloud Software Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly ... Develop and maintain machine learning models * Collaborate with cross-functional teams to deliver ...

Judge Group, Inc.

Principal AI/ML Engineer

Englewood, CO · On-site

$75 - $80.15/hr

Principal AI/ML Engineer Location: Englewood, CO Duration: 6 Months Temp to Hire Pay: $80.15/hr. on ... CI/CD for machine learning * Monitoring and performance tracking * Validation and continuous ...

Cymertek

Data Scientist / Software Engineer

Aurora, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

SIMILAR CAREER TITLES Data Engineer, Machine Learning Engineer, Software Engineer, Data Analyst, Research Scientist, Artificial Intelligence Engineer, Data Architect, Data Science Developer, Business ...

Cymertek

Software Engineer

Aurora, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Software Engineering, Information Technology ...

Bet365

Data Science Team Lead/Manager

Denver, CO · On-site

This is not a pure people-management role. • Building, mentoring, and guiding a pragmatic, delivery-focused team of Junior Data Scientists and Machine Learning Engineers, fostering a culture of ...

Bet365

Senior Data Scientist

Denver, CO · On-site

Collaborating with Machine Learning Engineers to champion the adoption of robust MLOps practices on our Google Cloud Platform (GCP) stack, ensuring models are automated, monitored, and scalable.

Deloitte

Senior AI Engineer - SFL Scientific

Denver, CO · On-site

$107K - $147K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Cymertek

Analytic Cloud Developer

Aurora, CO · On-site

$57.25 - $78.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Machine Learning Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Cloud Computing, Data Science, Information Technology, Software Engineering, Artificial ...

S Linx LLC

Sr AI Engineer

Greenwood Village, CO · On-site

$105K - $145K/yr

Greenwood Village, CO Duration: Long Term Required Skills: · Hands-on AI/ML leader with strong experience in AI Engineering, Machine Learning, Data Science, or applied NLP / LLM · Deep expertise in ...

Pwc

AI Engineer

Denver, CO · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

previous page

Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Castle Rock, CO

Machine Learning Engineer information

See Castle Rock, CO salary details

$32.8K

$134.3K

$201.8K

How much do machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning engineer in Castle Rock, CO is $134,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,800.00 and $161,600.00 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 cities near Castle Rock, CO are hiring for Machine Learning Engineer jobs?

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Castle Rock, CO as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $134,282 per year, or $64.6 per hour.

Senior Machine Learning Engineering Manager

Capital Rx

Denver, CO • On-site

$189K - $237K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About Judi Health

Judi Health is a health technology company providing benefit administration solutions to employers, unions, health plans, and government entities. Judi Health replaces fragmented, outdated systems with the industry's first Unified Claims Processing architecture, seamlessly consolidating pharmacy and medical benefit administration on a single, secure platform. By delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery, Judi Health helps clients achieve unprecedented operational efficiency and service levels.
At Judi Health, we're deploying the infrastructure our country needs to deliver the healthcare we all deserve. We are the intelligence platform powering benefits plans for millions of Americans and proudly leading the next generation of care. To learn more, visit www.judi.health.

Location: Hybrid 3 days in office (New York, NY, Denver, CO or Charlotte, NC area)

Position Summary:

Join our mission to infuse cutting-edge AI/ML/GenAI into health benefit management as a Senior Machine Learning Engineering Manager. We are looking for an experienced software engineer with hands-on machine learning and leadership expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services.

In this role you will be expected to lead the design and implementation of complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. We want people who like leading and working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare.

Responsibilities:

  • Lead and oversee ML projects from planning to delivery, ensuring timely and budget-friendly completion. Conduct performance reviews, provide feedback, and support professional growth of your team members.
  • Manage a team and also contribute towards productionizing machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
  • Oversee the design and implementation of APIs for seamless integration with AI models and services.
  • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
  • Participate in code reviews, testing, and quality assurance processes.
  • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services.
  • Document and communicate development processes, system designs, and architectural decisions.
  • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field.
  • Minimum 8+ years (4 years with Masters degree) of experience in industry with a strong focus on ML solutions development and production deployment.
  • At least 3+ years of experience in Engineering Management with teams of 4 or more engineers
  • Experience working across the AI development lifecycle (AI DLC)
  • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.
  • Strong proficiency in Python and familiarity with ML libraries such as PyTorch.
  • Familiarity with cloud platforms such as AWS or Azure.
  • Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience developing and fine-tuning prompts on any of the GenAI services
  • Passion for customer, innovation, product quality, service excellence, and test engineering
  • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.
  • Strong written and communication skills
New York, NY Salary Range
$189,600—$237,000 USD
Denver, CO Salary Range
$174,000—$217,500 USD
Charlotte, NC Salary Range
$158,000—$197,500 USD

All employees are responsible for adherence to the Judi Health Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found athttps://www.judi.health/legal/privacy-policy.

Apply