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Entry Level Junior Machine Learning Engineer Jobs

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

Machine Learning Engineer Location: Fremont, CA Duration: 12+ Mos Note - Onsite Interviews About the Role: Our direct client is hiring a Machine Learning Engineer for their software machine learning ...

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

Position Summary Our client is seeking a Jr. AI Engineer/Jr. Machine Learning Engineer to support the development, testing, and improvement of AI-powered features across their data intelligence ...

The Machine Learning Engineer will leverage their strong technical background and knowledge to support highly scalable machine learning-based applications, including both pipelines and services ...

Machine Learning Engineer - Generative Al Long term contract Sunrise, FL (Hybrid-3 days onsite) Direct client- Immediate client interview We are seeking a Machine Learning Engineer to design, build ...

Applied Machine Learning Engineer | Music Software (Multiple Roles open) Role: Applied Machine Learning Engineer (Mid - Senior Opportunity) Company: Splash Employment Type: Contract (3 months ...

The Machine Learning Engineer will develop software and machine learning algorithms to address real-world customer issues and will have opportunities to present their work to high-level customers.

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Entry Level Junior Machine Learning Engineer information

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$33.5K

$71.8K

$109.5K

How much do entry level junior machine learning engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for entry level junior machine learning engineer in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Junior Machine Learning Engineer vs Data Analyst?

AspectEntry Level Junior Machine Learning EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; some knowledge of ML frameworksBachelor's in Statistics, Math, or related; proficiency in data visualization tools
Work EnvironmentDeveloping ML models, coding in Python/R, collaborating with data scientistsAnalyzing datasets, creating reports, using SQL and Excel
Employer & Industry UsageTech companies, startups, research labsBusiness, finance, marketing sectors

While both roles involve working with data, an Entry Level Junior Machine Learning Engineer focuses on building and deploying machine learning models, requiring programming and ML knowledge. A Data Analyst primarily interprets data through visualization and reporting, emphasizing statistical skills. The roles often overlap in data handling but differ in technical complexity and focus.

What cities are hiring for Entry Level Junior Machine Learning Engineer jobs? Cities with the most Entry Level Junior Machine Learning Engineer job openings:
What are the most commonly searched types of Junior Machine Learning Engineer jobs? The most popular types of Junior Machine Learning Engineer jobs are:
What job categories do people searching Entry Level Junior Machine Learning Engineer jobs look for? The top searched job categories for Entry Level Junior Machine Learning Engineer jobs are:
Infographic showing various Entry Level Junior Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 90% Full Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

Upperline Health

Nashville, TN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Upperline Health rating

3.0

Company rating: 3.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Position Overview: We are looking for a talented Machine Learning Engineer to help build and maintain machine learning pipelines that support predictive healthcare models. This role is ideal for someone with strong data engineering skills and a passion for applying machine learning to real-world healthcare challenges.
Key Responsibilities:
  • Design and implement data pipelines using SQL and Python from various data sources.
  • Synthesize large medical claims data records into useable data features.
  • Collaborate with Data Scientists to build, refine, and deploy various machine learning models in Python.
  • Learn and apply SAS as needed for dataset generation (prior experience is not required).
  • Ensure data quality, reproducibility, and performance in the pipelines.
  • Contribute to best practices for data governance and model deployment.

Qualifications:
  • 2-5+ YOE as a Machine Learning Engineer or Data Scientist with a focus on engineering data builds.
  • Proficiency in SQL/Snowflake and Python; willingness to learn SAS as needed.
  • Experience building and combining data pipelines and working with large datasets.
  • Basic understanding of healthcare claims data (e.g., Medicare claims) preferred.
  • Familiarity with machine learning workflows (e.g., scikit-learn, pandas, NumPy).
  • Strong problem-solving and communication skills, sharp critical thinking skills.
  • Comfortable with a fast-paced workstream that requires flexibility to work on multiple projects or analyses at the same time.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

What Upperline Health employees say

Hours and flexibility

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