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Machine Learning Engineer Python Jobs in Colorado

AppFolio

CO · On-site

Who We Are Looking For We're seeking a Principal Machine Learning Engineer to help define and lead ... Expert in Python, PyTorch, NumPy, AWS, Docker, SQL, embeddings, and RAG. * Agent tooling:

AppFolio

Staff Machine Learning Engineer

Denver, CO · On-site

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to help move forward the ML ... Strong Python, Docker, dependency management, and CI/CD for AI workloads. * RAG & agents: Working ...

AppFolio

CO

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to help move forward the ML ... Strong Python, Docker, dependency management, and CI/CD for AI workloads. * RAG & agents: Working ...

Lockheed Martin

$89K - $157K/yr

The Space AI Talent Center is seeking a highly skilled AI/ML Machine Learning Engineer to join a ... Python, Java, C++, C#, or MATLAB • Experience with TensorFlow, PyTorch, Keras, or Scikit-learn ...

Cisco

Principal Machine Learning Engineer

Denver, CO · On-site

$291K - $369K/yr

Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Lockheed Martin

$132K - $234K/yr

The Space AI Talent Center is seeking a highly skilled AI/ML Machine Learning Engineer to join a ... Python, Java, C++, C#, or MATLAB • Experience with TensorFlow, PyTorch, Keras, or Scikit-learn ...

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Machine Learning Engineer Python information

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What is the salary of machine learning engineer in Python?

The average salary for a machine learning engineer proficient in Python typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring specialized skills in deep learning or data engineering may offer higher compensation.

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

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What is the difference between Machine Learning Engineer Python vs Data Scientist?

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What engineer makes $500,000 a year?

A senior or lead machine learning engineer with extensive experience, advanced skills in Python, deep learning, and data modeling can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI director, often involving advanced skills in Python, deep learning, and data science. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in competitive industries like tech or finance.

Is Python enough for ML engineers?

Python is a fundamental programming language for machine learning engineers due to its extensive libraries like TensorFlow, PyTorch, and scikit-learn. However, proficiency in data manipulation, algorithms, and understanding of machine learning concepts, along with knowledge of tools like SQL and cloud platforms, are also important for success in the role.
What are popular job titles related to Machine Learning Engineer Python jobs in Colorado? For Machine Learning Engineer Python jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in Colorado look for? The top searched job categories for Machine Learning Engineer Python jobs in Colorado are:
What cities in Colorado are hiring for Machine Learning Engineer Python jobs? Cities in Colorado with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you
Infographic showing various Machine Learning Engineer Python job openings in Colorado as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.
Data Analyst/Python Programmer - Remote

Data Analyst/Python Programmer - Remote

SynergisticIT

Denver, CO • On-site

Other

Posted 17 days ago

Job description

Entry-Level Python/Java Developer — Build Skills Hiring Teams Look For Knowing Java or Python is a great start, but entry-level hiring requires more than syntax. Employers want candidates who can solve problems, write maintainable code, use Git, connect to databases, understand APIs, debug errors, and explain technical decisions clearly. If you have been learning alone and feel stuck, a structured path can help. SynergisticIT is seeking candidates interested in entry-level Python and Java developer roles. Relevant areas include object-oriented programming, backend development, REST APIs, SQL, Git, debugging, testing basics, cloud fundamentals, and application development. This opportunity is ideal for candidates who want to turn programming knowledge into a stronger employment profile. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience · Please check below links: · Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ · · please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ SynergisticIT JOPP is good for Python and Java candidates because it focuses on job readiness. Candidates can work on strengthening their technical foundation, building practical projects, preparing for interviews, and positioning their resumes toward roles that match employer expectations. Start building the developer profile employers want— Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

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