ZipRecruiter

Log In

1

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 JobsGraduate Machine Learning Jobs

Graduate Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do graduate machine learning jobs pay per year?

As of Jun 10, 2026, the average yearly pay for 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 are the key skills and qualifications needed to thrive in the Graduate Machine Learning position, and why are they important?

To thrive as a Graduate Machine Learning professional, you need a solid understanding of statistics, data analysis, machine learning algorithms, and programming languages such as Python or R, typically supported by a relevant degree. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch), data visualization tools, and version control systems like Git is common. Strong problem-solving abilities, communication skills, and a collaborative mindset will help you stand out in team-based environments. These competencies are vital for effectively building, analyzing, and refining models to address real-world business challenges.

What is a Graduate Machine Learning job?

A Graduate Machine Learning job is an entry-level role designed for recent graduates with a background in machine learning, data science, or a related field. It typically involves working on data-driven projects, developing machine learning models, and assisting in research or engineering tasks. Graduates may collaborate with data scientists, software engineers, and business teams to design algorithms, optimize models, and deploy AI solutions. This role helps build practical experience in applying ML techniques to real-world problems while contributing to the organization's AI initiatives.

What does the typical career progression look like for a Graduate Machine Learning professional?

As a Graduate Machine Learning professional, you will usually begin your career by working on smaller projects or supporting senior scientists with data preparation, model training, and performance evaluations. Over time, as you gain experience and demonstrate technical proficiency, you’ll be given more complex, independent projects and may specialize in areas like natural language processing, computer vision, or deep learning. Many organizations provide opportunities for mentorship, professional development, and advanced certifications, paving the way for roles such as Machine Learning Engineer, Data Scientist, or Research Scientist. This path offers significant opportunities for growth, both in terms of technical expertise and leadership potential.

More about Graduate Machine Learning jobs
What cities are hiring for Graduate Machine Learning jobs? Cities with the most 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 Graduate Machine Learning jobs? States with the most job openings for Graduate Machine Learning jobs include:
What job categories do people searching Graduate Machine Learning jobs look for? The top searched job categories for Graduate Machine Learning jobs are:
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