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Entry Level Junior Machine Learning Engineer Jobs

ENSCO

Junior Machine Learning Engineer

Cocoa Beach, FL · On-site

$64.52K - $106.62K/yr

Position Description ENSCO, Inc. is seeking a Junior Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks ...

SynergisticIT

Junior Machine Learning

Manhattan, NY · On-site

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java ... Excellent written and verbal communication skills For data Science/Machine learning REQUIRED SKILLS

Advantest

Machine Learning Engineer

San Jose, CA · On-site

Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of datadriven and MLpowered solutions for semiconductor R&D, test, and operations teams. In this role,you ...

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

As of May 28, 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:
Entry Level Junior Machine Learning Engineer jobs near you
Infographic showing various Entry Level Junior Machine Learning Engineer job openings in the United States as of May 2026, with employment types broken down into 5% As Needed, 33% Full Time, 54% Part Time, 3% Temporary, and 5% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.
Entry-Level Machine Learning Engineer

Entry-Level Machine Learning Engineer

SynergisticIT

Denver, CO • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

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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