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Python Ml Developer Jobs in Colorado (NOW HIRING)

CACI International, Inc.

AI/ML Engineer

Aurora, CO · On-site

AI/ML Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS ... Experience with Python and any of the following Python data science / machine learning libraries:

CACI

AI/ML Engineer with Security Clearance

Aurora, CO · On-site

AI/ML Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS ... Experience with Python and any of the following Python data science / machine learning libraries:

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 ... Python * C++ * C# * Java * Proven experience architecting, deploying, and scaling complex AI/ML ...

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Govcio LLC

$175K - $220K/yr

Proficiency in programming languages such as Python and C++ for AI/ML development and system ... integration. * Experience designing and implementing APIs for integration of AI/ML services and ...

Cymertek Corporation

AI/ML Engineer

Aurora, CO · On-site

... Python) • Knowledge of ML frameworks (e.g., TensorFlow) • Ability to preprocess and analyze datasets • Expertise in supervised and unsupervised learning • Familiarity with cloud-based AI ...

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Varstaff

AI/ML Engineer III

Englewood, CO · On-site

Varstaff is looking for an AI/ML Engineer III Must be a US Citizen. (paid on a W2) In this role ... Strong proficiency in Python, C++, C#, and/or Java with experience building scalable Machine ...

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Python Ml Developer information

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 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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 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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What are popular job titles related to Python Ml Developer jobs in Colorado? For Python Ml Developer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Colorado look for? The top searched job categories for Python Ml Developer jobs in Colorado are:
What cities in Colorado are hiring for Python Ml Developer jobs? Cities in Colorado with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Colorado as of July 2026, with employment types broken down into 83% Full Time, 7% Part Time, 1% Temporary, and 9% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution.
AI/ML Engineer

AI/ML Engineer

CACI International, Inc.

Aurora, CO • On-site

Full-time

Medical, Retirement, PTO

Re-posted 6 days ago

Job description

Job Title: AI/ML Engineer
Job Category: Science
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel:
Anticipated Posting End: There is not an anticipated end date for this posting since applications are needed on an ongoing basis.
Job Description
The Opportunity:
This position is for an AI/ML Engineer looking for new challenging problems. You will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models. Additionally, we have a team of excellent researchers and software developers who are eager to mentor.
Responsibilities:
Our ideal candidate is an AI/ML engineer with experience working in research teams prototyping and developing AI/ML algorithms. This candidate will be joining our team of AI/ML engineers and researchers to apply cutting-edge AI/ML algorithms in a variety of domains to the mission needs of our customers.
As an AI/ML Engineer, your responsibilities include:
  • Working as part of a small team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
  • Analyzing large multi-domain datasets such as images, text, and/or graph data to identify statistically relevant features to build models that provide analysts with actionable data
  • Using cloud services to train and deploy ML models
  • Reviewing relevant publications to understand and apply cutting edge concepts to defense and commercial applications
  • Writing technical documentation supporting code, program capabilities, and user-guides

Qualifications:
Required:
  • Effective communicator with the ability to write and present technical reports
  • Experience with Python and any of the following Python data science / machine learning libraries: Pandas, scikit-learn, TensorFlow, Keras, Pytorch
  • Experience with one or more of the following:
    • Applying unsupervised and/or supervised machine learning techniques
    • Applying and/or developing algorithms based in statistical analysis
    • Analyzing large datasets and building models to perform inference
  • BS in machine learning, computer science, mathematics, or relevant fields
  • 2+ years of experience developing AI/ML applications, data science, and/or algorithm development
  • Active TS/SCI with Poly U.S. Government Security Clearance

Desired:
  • MS or PhD in machine learning, computer science, mathematics, or relevant fields
  • Experience leading an interdisciplinary team of researchers and software developers
  • Experience with any of the following AI/ML domains:
    • Large Language Models and experience identifying ways to incorporate them into new areas and applications
    • Object detection algorithms such as YOLO and Faster-RCNN
    • Natural Language Processing algorithms such as Transformers and RNNs
    • Applying Transformer-based architectures to domains in other areas outside of NLP such as computer vision
    • Generative Adversarial Networks and Variational Autoencoders
    • Reinforcement learning and familiarity with OpenAI Gym, RLlib, and Stable Baselines
    • Applying clustering algorithms and/or deep neural networks to real life problems
    • Implementing tracking & fusion and pattern-of-life algorithms
  • Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain
  • Experience with Linux
  • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
  • Experience with any of the following additional languages: C++, Java, and/or C#
  • Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
  • Experience with implementing tracking and fusion, and pattern-of-life algorithms
  • Experience in application deployment, virtualization, and containerization
  • Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
  • Experience shaping and writing proposals

This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI.
What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$82,100-$172,400
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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