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Mlflow Jobs in Colorado (NOW HIRING)

RXinsider LTD.

AI/ML Engineer

Centennial, CO · On-site

$77.40 - $135.40/hr

Familiarity with tools and technologies such as FastAPI, MLflow, Docker, cloud platforms, and CI/CD pipelines preferred. * Strong understanding of evaluation methodologies for predictive ML and ...

New

CACI

Staff AI/ML Engineer with Security Clearance

Aurora, CO · On-site

$98K - $206K/yr

  • Medical

  • Retirement

  • PTO

LangFuse, MLFlow, Arize Phoenix) * Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning * Linux and AWS experience * Experience with CUDA and Python libraries such as CuPy, Numba ...

Aktios Spain

AI QA Engineer

Aurora, CO · On-site

$70 - $90/hr

Conocimientos de MLOps, incluyendo herramientas como MLflow, Weights & Biases o pipelines CI/CD para Machine Learning. * Experiencia con herramientas de observabilidad para LLMs como Langfuse ...

New

Tallgrass

AI System Developer III

Lakewood, CO · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Contribute to and improve CI/CD pipelines, containerization strategies (Docker/Kubernetes), model versioning, model registry practices, and MLflow workflows to support reliable and repeatable AI ...

CACI International, Inc.

Staff AI/ML Engineer

Aurora, CO · On-site

$98K - $206K/yr

  • Medical

  • Retirement

  • PTO

LangFuse, MLFlow, Arize Phoenix) * Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning * Linux and AWS experience * Experience with CUDA and Python libraries such as CuPy, Numba ...

Nou Systems Inc

Machine Learning Engineer

Colorado Springs, CO · On-site

$100K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with ML tools (MLflow, Optuna, or PyTorch Lightning) * Experience with RL development using Gymnasium and Ray RLlib. * Experience with LLMs, generative AI tools, vector databases, or ...

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Mlflow information

What is the difference between Mlflow vs Data Scientist?

AspectMlflowData Scientist
Required CredentialsKnowledge of machine learning tools, Python, and data managementDegree in Data Science, Statistics, or related field; programming skills
Work EnvironmentData science teams, machine learning projects, software developmentResearch, data analysis, model development, cross-functional teams
Employer & Industry UsageTech companies, AI startups, data-driven organizationsVarious industries including tech, finance, healthcare, and retail

While Mlflow is a platform for managing the machine learning lifecycle, a Data Scientist focuses on analyzing data and building models. Mlflow tools support Data Scientists in tracking experiments, but the roles differ in scope and responsibilities.

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The top searched job categories for Mlflow jobs in Colorado are:

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Mlflow jobs near you
Infographic showing various Mlflow job openings in Colorado as of August 2026, with employment types broken down into 57% Full Time, 22% Temporary, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Machine Learning Engineer

nou Systems, Inc.

Colorado Springs, CO • On-site

Full-time

Re-posted 7 days ago

Job description

Job Summary:
nou Systems, Inc. is a 100% ESOP company focused on solving challenging defense problems. They are seeking a Machine Learning Engineer to design, develop, and deploy machine learning capabilities for defense applications, collaborating with teams to transition ML concepts into practical solutions.
Responsibilities:
• Develop, train, evaluate, and analyze machine learning models using Python and PyTorch, writing modular, maintainable, and testable code.
• Build backend software components that support ML workflows, data processing, model evaluation, and system integration.
• Help identify, prepare, and validate training and evaluation datasets.
• Implement and adapt ML methods from open literature, including supervised learning and deep learning approaches.
• Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote-SSH, Docker/Podman, and contribute to continuous improvement of development processes.
• Use GitLab-based workflows for source control, issue tracking, merge requests, code review, and collaboration.
• Communicate technical results clearly through written documentation, presentations, and team discussions.
• Support multiple project teams and help translate ML concepts into practical engineering solutions.
Qualifications:
Required:
• Bachelor’s degree in computer science, mathematics, software engineering, data science, or a closely related technical field.
• 3+ years of professional experience in machine learning, data science, or backend software development.
• Hands-on experience developing, training, or evaluating deep learning models using PyTorch.
• Professional experience building backend software, data pipelines, APIs, or system integration components.
• U.S. citizenship and the ability to obtain a Secret security clearance.
Preferred:
• Strong communication skills, intellectual curiosity, and comfort working across ML, software, and mission-domain teams. Our work often requires creative, multidisciplinary approaches.
• Understanding of core ML and statistical concepts (bias-variance tradeoff, data mismatch, sample sufficiency)
• Comfort with self-direction. You'll work with our top technical talent, but we're looking for evidence you can diagnose a problem and approach it strategically.
• Experience with Docker, Podman, or similar containerization tools, including editing Dockerfiles or container configuration.
• Experience with ML tools (MLflow, Optuna, or PyTorch Lightning)
• Experience with RL development using Gymnasium and Ray RLlib.
• Experience with LLMs, generative AI tools, vector databases, or frameworks such as LangChain or LlamaIndex.
• Familiarity with CI/CD pipelines, Kubernetes, DevSecOps practices, secure artifact repositories, or deployment in restricted DoD environments.
Company:
no Systems is a consultant offering engineering and technical services to the government in Huntsville, Alabama. Founded in 2011, the company is headquartered in Huntsville, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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