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Home Based Python Machine Learning Jobs in Colorado

Ibotta

Staff Machine Learning Engineer

Denver, CO · On-site +1

$206K - $230K/yr

... as Python, Spark, Databricks, AWS, Sagemaker, etc. As a Staff Machine Learning Engineer, you will ... Not based in one of these areas? We will offer a relocation bonus to help make your move to the ...

Trimble

Machine Learning Data Scientist

Westminster, CO

$122K - $165K/yr

Proficiency in Python and SQL for data manipulation and algorithm development. * Strong grasp of ... Familiarity with BI tools and cloud-based data environments. * Advanced academic research in ...

True Anomaly

Senior Machine Learning Engineer

Denver, CO · On-site

$155K - $260K/yr

We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors ... Proficient in Python * Solid understanding of statistics, probability, and optimization

Workday

Machine Learning Engineer III

Boulder, CO

$136K - $240K/yr

... Python and frameworks such as Pytorch, TensorFlow. 2+ years of experience related to machine ... Workday pay ranges vary based on work location. As a part of the total compensation package, this ...

Workday

Machine Learning Engineer III

Boulder, CO

$136K - $240K/yr

... Python and frameworks such as Pytorch, TensorFlow - 2+ years of experience related to machine ... Workday pay ranges vary based on work location. As a part of the total compensation package, this ...

Bespoke Labs

Machine Learning Engineer

Denver, CO

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Thornton, CO

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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All JobsHome Based Python Machine Learning JobsHome Based Python Machine Learning Jobs in Colorado

Home Based Python Machine Learning information

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What are the most commonly searched types of Python Machine Learning jobs in Colorado? The most popular types of Python Machine Learning jobs in Colorado are:
What are popular job titles related to Home Based Python Machine Learning jobs in Colorado? For Home Based Python Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Home Based Python Machine Learning jobs in Colorado look for? The top searched job categories for Home Based Python Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Home Based Python Machine Learning jobs? Cities in Colorado with the most Home Based Python Machine Learning job openings:
Home Based Python Machine Learning jobs near you
Infographic showing various Home Based Python Machine Learning job openings in Colorado as of June 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.
Entry-Level Machine Learning Engineer

Entry-Level Machine Learning Engineer

SynergisticIT

Denver, CO • On-site

Other

Posted 28 days ago

Job description

Junior Machine Learning Engineer

Since 2010, SynergisticIT has helped more than 10,000 jobseekers get hired at hundreds of tech clients by providing the required tech stack, real-world project experience, and U.S.-based exposure.

Role Description

Junior Machine Learning Engineer will be responsible for assisting in the creation, deployment, and monitoring of scalable ML models in production. Duties include data preprocessing, feature engineering, versioning ML models, and integrating machine learning components with live products. You will actively collaborate on project teams utilizing AWS Glue, Databricks, PySpark, TensorFlow, and Azure Data Lake, and contribute to code reviews and documentation tasks.

Required Skills

The role expects demonstrable familiarity with Python, cloud-based ML pipelines, and at least one framework among PyTorch, TensorFlow, or scikit-learn. Industry tools like Databricks for big data processing and Azure Data Lake for managing unstructured datasets are highly valued. Ability to work with code repositories (Git), conduct error analysis, and communicate findings in a business-friendly manner are required. U.S. companies demand project-based evidence of your skills—real internship or portfolio work utilizing modern ML stacks makes you stand out.

Eligibility

Open to all those authorized to work in the U.S., including OPT and CPT visa holders.

Skills Development Path

If you're missing pieces of the ML and cloud deployment stack, the SynergisticIT Job Placement Program offers direct instruction and real project exposure in the precise technologies companies hire for. Supplement your journey with YouTube event recordings, industry blogs, sample interview questions, and the USA Today article. Java Job placement Program Data Science Job Placement Program for getting Hired

SynergisticIT Client Network

SynergisticIT's connections to giants like Facebook, Google, Uber, Amazon, Apple, Twitter, JPMorgan, Walmart Labs, SAP, TCS, and Capgemini ensure broad exposure to high-impact ML roles. Participants secure salaries of $95K–$150K after placement. Master both ML concepts and their real-world cloud deployment by leveraging SynergisticIT's industry-proven curriculum and client relationships, opening doors to the most in-demand U.S. ML engineering jobs.

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