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Python Ml Developer Jobs in Wheat Ridge, CO (NOW HIRING)

Cleerly

Sr. Software Engineer - ML Systems

Denver, CO

$176K - $206K/yr

... Senior Software Engineer to design, build, deploy, monitor, and optimize production-ready ML ... Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar). * Experience with unit ...

ARKA Group

Staff AI/ML Engineer (TS/SCI) {S}

Aurora, CO · On-site

$155K - $200K/yr

This position is for a Staff AI/ML Engineer looking for new challenging problems. You should have ... Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, Polars

Code, LLC

Director of AI & ML

Denver, CO · On-site

Strong programming skills in languages such as Python, R, or Java. Experience with popular AI & ML frameworks and libraries. Excellent leadership, communication, and interpersonal skills. Ability to ...

Code, LLC

Director of AI & ML

Denver, CO · On-site

Strong programming skills in languages such as Python, R, or Java. Experience with popular AI & ML frameworks and libraries. Excellent leadership, communication, and interpersonal skills. Ability to ...

Unison Systems, Inc

AI / ML Solutions Architect

Englewood, CO

$62.50 - $82.50/hr

Collaborate with engineering teams to integrate ML frameworks (TensorFlow, PyTorch) into scalable ... Hands-on proficiency in Python, Node.js, or Go for prototyping and solution validation * Experience ...

Cleerly

Sr. Software Engineer - ML Systems

Denver, CO · On-site +1

$176K - $206K/yr

... Senior Software Engineer to design, build, deploy, monitor, and optimize production-ready ML ... Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar). * Experience with unit ...

Cleerly

Sr. Software Engineer - ML Systems

Denver, CO · On-site

$176K - $206K/yr

... Senior Software Engineer to design, build, deploy, monitor, and optimize production-ready ML ... Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar). * Experience with unit ...

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How much do python ml developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for python ml developer in Wheat Ridge, CO is $62.30, according to ZipRecruiter salary data. Most workers in this role earn between $51.35 and $70.77 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What cities near Wheat Ridge, CO are hiring for Python Ml Developer jobs? Cities near Wheat Ridge, CO with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Wheat Ridge, CO as of May 2026, with employment types broken down into 1% Internship, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $129,580 per year, or $62.3 per hour.
Sr. Software Engineer - ML Systems

Sr. Software Engineer - ML Systems

Cleerly

Denver, CO

$176K - $206K/yr

Other

Posted 16 days ago

Job description

About the Opportunity

We are seeking a Senior Software Engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work hands-on to package, test, orchestrate, deploy, and maintain ML models, improve workflows, and implement CI/CD and automated testing to ensure reliability, performance, and faster delivery of business value.

Responsibilities

  • Design, build, and deploy scalable AI/ML services with clear service boundaries, making pragmatic trade-offs across performance, maintainability, security, and long-term extensibility.

  • Own full lifecycle delivery of complex features from architectural planning and API design to implementation and post-release observability.

  • Define and enforce robust verification and validation for AI services including unit, integration, and end-to-end testing to ensure reliability of code in production and compliance with our Quality Management System and regulatory standards. 

  • Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment.

  • Translate product requirements into well-defined technical designs proactively shaping implementation details.

  • Contribute to the necessary technical documentation required for regulatory submissions.

  • Collaborate cross functionally to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation. 

Requirements

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or related field

  • 7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar).

  • Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility.

  • Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms(SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows.

  • Strong collaboration skills to work effectively with ML scientists, engineers, and regulatory teams.

  • Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

  • Base Salary: $153,000 - $179,000
  • TTC: $176,000 - $206,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

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