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Junior Ai Machine Learning Python Jobs in Colorado

bet365

Data Science Team Leader

Denver, CO · On-site

$165K/yr

Exceptional programming skills in Python and deep expertise in data science libraries (Scikit-learn ... In this hands-on role you will devise, code, and deploy AI, machine learning and predictive models ...

bet365

Data Science Team Leader

Denver, CO

Exceptional programming skills in Python and deep expertise in data science libraries (Scikit-learn ... In this hands-on role you will devise, code, and deploy AI, machine learning and predictive models ...

micro1 AI

Engineering AI Evaluator (PhD)

Denver, CO · Remote

$80 - $90/hr

Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required) * Proven ability to produce "golden response" level deliverables with accuracy and ...

bet365

Data Science Team Leader

Denver, CO · On-site

$165K/yr

Exceptional programming skills in Python and deep expertise in data science libraries (Scikit-learn ... In this hands-on role you will devise, code, and deploy AI, machine learning and predictive models ...

Bespoke Labs

Machine Learning Engineer

Aurora, CO · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

Bespoke Labs

Machine Learning Engineer

Thornton, CO · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

Bespoke Labs

Machine Learning Engineer

Greeley, CO · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

Bespoke Labs

Machine Learning Engineer

Denver, CO · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

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Junior Ai Machine Learning Python information

What are the key skills and qualifications needed to thrive as a Junior AI Machine Learning Python Engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What does a Junior AI Machine Learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a Junior AI/Machine Learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Junior Ai Machine Learning Python jobs in Colorado? For Junior Ai Machine Learning Python jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Junior Ai Machine Learning Python jobs in Colorado look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Colorado are:
What cities in Colorado are hiring for Junior Ai Machine Learning Python jobs? Cities in Colorado with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you
Infographic showing various Junior Ai Machine Learning Python job openings in Colorado as of July 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 81% In-person, 13% Hybrid, and 6% Remote job distribution.
AI/ML Engineer III

AI/ML Engineer III

Sierra Nevada Corporation

Lone Tree, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Sierra Nevada Corporation rating

8.6

Company rating: 8.6 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

18th of 61 rated aerospace companies

Job description

The AI/ML Engineer III is a mid-level technical position that requires advanced expertise in designing, developing, and deploying machine learning systems for aerospace and defense applications. In this role, you will lead the creation of cutting-edge AI solutions for complex problems, such as autonomous navigation, sensor fusion, and real-time decision-making. You will also mentor junior engineers, manage key projects, and contribute to strategic decision-making within AI/ML development efforts. Your work will directly impact mission-critical systems and next-generation technologies.
The ISR (Intelligence, Surveillance & Reconnaissance), Aviation, and Security (IAS) business area is a leader in ISR and aviation, it is a leading prime manned and unmanned aircraft systems integrator for innovative, high-performance ISR and aviation systems. Its end-to-end Command, Control, Computers, Communications and Intelligence, Surveillance & Reconnaissance (C4ISR) capabilities encompass design, integration, test, certification, ground/flight training and complete logistics support. IAS tailors solutions to customer cost, performance, and schedule requirements and designs to consistently exceed expectations - with an unrivaled record of on time and on (or under) budget deliveries.
Responsibilities:
  • Lead the design and development of advanced machine learning models, including deep neural networks, reinforcement learning systems, and generative AI algorithms, to solve complex problems.
  • Architect scalable AI/ML systems that can integrate seamlessly with existing software and hardware platforms. Provide guidance on the selection of tools, frameworks, and infrastructure.
  • Collaborate with systems engineers, hardware teams, and data scientists to align AI/ML solutions with mission-specific requirements and constraints.
  • Manage AI/ML projects, including scoping, resource allocation, and timeline management, ensuring that deliverables meet quality and performance expectations.
  • Develop and oversee robust validation and testing frameworks to ensure that AI/ML models meet performance, safety, and compliance standards in real-world scenarios.
  • Mentor junior engineers, providing technical guidance and fostering a collaborative, innovative team environment.
  • Stay current with emerging AI/ML technologies and propose innovative solutions to address new and existing challenges in the aerospace and defense domain.
  • Communicate technical concepts, project progress, and outcomes to stakeholders, including leadership and external partners, in a clear and concise manner.
  • Independently train, fine-tune, and optimize advanced AI architectures (including transformers) for complex applications.
  • Apply a broad range of AI/ML techniques (supervised, unsupervised, reinforcement, generative) to solve domain-specific challenges.
  • Lead the development and integration of signal processing, computer vision, and planning algorithms to advance autonomous system functionality.
  • Design and execute large-scale simulations and modeling of AI/ML systems, ensuring scalability, performance, and robustness on CPU/GPU platforms.
  • Lead rigorous validation and verification activities, ensuring deliverables meet performance, safety, and reliability requirements.

Qualifications You Must Have:
  • Bachelor's degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline
  • 6+ years of experience in a related field.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 9 years of related experience is required.
  • Higher level relevant degree may substitute for experience.
  • Proficient in machine learning frameworks (e.g., TensorFlow, PyTorch) and skilled in implementing advanced AI/ML techniques, such as supervised, unsupervised, and reinforcement learning (e.g., PPO, Actor/Critic), as well as working with generative AI models (e.g., transformers).
  • Proficient in developing, deploying, and optimizing AI/ML models, including ANNs, CNNs, and RNNs, for production applications. Contributed to the design and scaling of systems for larger datasets or environments with moderate complexity.
  • Strong proficiency in programming languages such as Python, C++, C# or Java, with experience in building scalable AI/ML systems.
  • Demonstrated experience leading teams or projects, including mentoring junior staff.
  • Proven track record of deploying AI/ML models in production environments and optimizing them for real-world use cases.
  • Knowledge of regulatory and cybersecurity requirements for AI/ML systems in aerospace and defense applications

Qualifications We Prefer:
  • Master's degree in Artificial Intelligence, Machine Learning, or related field.
  • Experience leading teams or projects in aerospace and defense industries.
  • Familiarity with cybersecurity and regulatory requirements.
  • Proficient in Agile or DevOps workflows; active participant in iterative ML software development.
  • Practical experience designing and implementing advanced ML techniques, such as clustering, dimensionality reduction, or generative modeling.
  • Hands-on experience with GPU programming and using high-performance computing systems for ML workloads.
  • Experience with at least one reinforcement learning or generative AI model (e.g., implementing GANs or Transformers).
  • Able to analyze large-scale, heterogeneous datasets and apply advanced statistical and ML methods to real-world problems.
  • Experience translating mission objectives into actionable system requirements, including HMI scenarios.
  • Familiarity with hardware acceleration (e.g., CUDA, TensorRT) and introductory knowledge of edge AI or XAI.

Essential Functions:
  • Ability to lead and manage complex AI/ML projects.
  • Travel occasionally to testing sites, customer locations, or conferences (up to 10-20%).
  • Work in a hybrid environment, managing cross-functional teams and high-priority deliverables.

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.
Estimated Starting Salary Range: $124,771.42 - $171,560.71. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled.
SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.
IMPORTANT NOTICE:
This position requires the ability to obtain and maintain a Secret U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. citizens may not be eligible to obtain a security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance eligibility process for industry applicants. Adjudicative factors which affect the outcome of the eligibility determination include, but are not limited to, allegiance to the U.S., foreign influence, foreign preference, criminal conduct, security violations and illegal drug use.
Learn more about the background check process for Security Clearances.
SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!
SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.

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