ZipRecruiter

Log In

1

Seasonal Graduate Machine Learning Jobs (NOW HIRING)

Photon

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using ... Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ...

Photon

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using ... Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ...

Apple

Senior Machine Learning Engineer

Cupertino, CA · On-site

$151K - $199K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ... PhD or Graduate degree with research/work experience using data science techniques (including but ...

Apple

Senior Machine Learning Engineer

Cambridge, MA · On-site

$133K - $176K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ... PhD or Graduate degree with research/work experience using data science techniques (including but ...

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ... PhD or Graduate degree with research/work experience using data science techniques (including but ...

next page

Showing results 1-20

People also search for

All JobsSeasonal Graduate Machine Learning Jobs

Seasonal Graduate Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do seasonal graduate machine learning jobs pay per year?

As of Jun 10, 2026, the average yearly pay for seasonal graduate machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Seasonal Graduate Machine Learning vs Data Analyst?

AspectSeasonal Graduate Machine LearningData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML frameworksDegree in Statistics, Mathematics, or related field; proficiency in data visualization tools
Work EnvironmentTech companies, research labs, or industries applying ML models seasonallyBusiness environments, finance, marketing, or healthcare sectors
Employer & Industry UsageUsed in industries deploying ML solutions seasonally, such as retail or e-commerceCommon in industries analyzing data trends for decision-making

Seasonal Graduate Machine Learning roles focus on developing and applying machine learning models during specific seasons, often requiring programming and ML knowledge. Data Analysts interpret data to inform business decisions, emphasizing statistical analysis and visualization. While both roles involve working with data, Machine Learning positions are more technical and model-driven, whereas Data Analysts focus on insights and reporting.

What cities are hiring for Seasonal Graduate Machine Learning jobs? Cities with the most Seasonal Graduate Machine Learning job openings:
What are the most commonly searched types of Graduate Machine Learning jobs? The most popular types of Graduate Machine Learning jobs are:
What states have the most Seasonal Graduate Machine Learning jobs? States with the most job openings for Seasonal Graduate Machine Learning jobs include:
Seasonal Graduate Machine Learning jobs near you

Machine Learning Engineer Niles, Illinois

ESR Healthcare

Niles, IL

$103K - $129K/yr

Other

Posted yesterday

Job description

Job Description:
Machine Learning Engineer
Niles, Illinois
Full Time
USD $103,455.00/Yr.-USD $129,319.00/Yr.
29100
mail_outline
Get future jobs matching this search
or
Job Description
Position Responsibilities:
Design, build, and maintain Continuous Integration/Continuous Development (CI/CD) pipelines for machine learning models
Deploy and manage ML models in production environments using containerization and orchestration technologies
Implement monitoring, logging, and alerting solutions to track model performance, system health, and data drift
Collaborate with data scientists to understand model requirements and optimize the process of transforming models from development to a production-ready state
Create and maintain technical documentation for ML Operations (Ops) processes, infrastructure, and deployments
Define ML/Artificial Intelligence (AI) governance to ensure data security and ethical standards are met for all modeling processes
Travel up to 5% of the time
Other duties as assigned
Required Education and Experience:
Bachelors degree in computer science, Data Science, Mathematics, or related quantitative discipline and 3 to 5 plus years of experience in ML Engineering, Software Engineering, or a related field or High School Diploma/General Education Diploma and 7 plus years of the above stated experience
Preferred Education and Experience:
Masters Degree in computer science, Data Science, or other graduate education in related quantitative fields
Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML development lifecycle
Experience building ML Ops infrastructure and serving models via cloud platforms such as Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
Strong proficiency in Python and working knowledge of Bash/shell scripting for automation and system operations
Strong understanding of Structured Query Language (SQL) and experience with big data platforms, i.e., Snowflake, Databricks, or similar
Experience with Infrastructure-as-Code tools, i.e., Terraform, Azure Resource Manager, or similar
Working Place:
Niles, Illinois, United States
Company :
ESR Healthcare

Apply