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Temporary Machine Learning Engineer Jobs in Elgin, IL

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

Senior Machine Learning Engineer Remote in US $160,000 - $190,000 Base + 10% Bonus THE COMPANY Harnham is partnering with a fintech that has built a leading fraud protection platform enabling ...

Machine Learning Engineer

Niles, IL · On-site

$53 - $72.75/hr

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 ...

Machine Learning Engineer

Niles, IL · On-site

$53 - $72.75/hr

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 ...

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 ...

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 ...

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be ...

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 ...

Senior Machine Learning Engineer (Nova)

Chicago, IL · On-site

$107K - $147K/yr

Senior Machine Learning Engineer (Nova) Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic ...

Machine Learning Engineer

Chicago, IL · Remote

$96K - $131K/yr

Develop and implement analytics techniques to transform data into meaningful information using data-oriented programming languages, visualization software, data modeling, and machine learning to ...

New

AWS Machine Learning Engineer

Chicago, IL · On-site

$72K - $108K/yr

Role description AWS Machine Learning Engineer ML Engineer I Who We Are: Born digital, UST ... Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires ...

Hardware Machine Learning Engineer Chicago, United States; New York, United States We are deploying machine learning directly onto custom hardware - and we want you to help drive it from the ground ...

We're looking for a Principal Machine Learning Engineer to help shape the next phase of our platform - influencing architecture, driving best practices, and solving high-leverage problems. You'll ...

We're looking for a Principal Machine Learning Engineer to help shape the next phase of our platform - influencing architecture, driving best practices, and solving high-leverage problems. You'll ...

We're looking for a Principal Machine Learning Engineer to help shape the next phase of our platform - influencing architecture, driving best practices, and solving high-leverage problems. You'll ...

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Showing results 1-20

Temporary Machine Learning Engineer information

See Elgin, IL salary details

$31.1K

$127.3K

$191.3K

How much do temporary machine learning engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for temporary machine learning engineer in Elgin, IL is $127,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $153,200.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning Engineer vs Data Scientist?

AspectTemporary Machine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech or finance companiesResearch and analysis-focused, in tech, finance, or healthcare sectors
Employer UsageUsed for short-term ML projects, model deployment, or prototypingUsed for data analysis, insights, and predictive modeling

Temporary Machine Learning Engineers focus on implementing and deploying ML models on a short-term basis, often within project deadlines. Data Scientists analyze data to generate insights and develop models but may have a broader scope. Both roles require strong technical skills, but their primary functions differ in scope and application.

What engineers make $500,000?

Senior engineers in fields such as software, data engineering, and machine learning can earn $500,000 or more annually, especially with experience, specialized skills, and stock options. High compensation often involves leadership roles, working at large tech companies, or in high-demand industries with advanced technical expertise.

Which 5 jobs will survive AI?

For a Temporary Machine Learning Engineer, roles that require complex problem-solving, creativity, and human judgment are more likely to survive AI automation, such as data science, AI ethics, software architecture, technical consulting, and specialized research. These jobs often involve skills in critical thinking, domain expertise, and collaboration that are difficult for AI to replicate fully.

Which 3 jobs will survive AI?

For a Temporary Machine Learning Engineer, roles that require complex problem-solving, creativity, and human interaction are more likely to persist despite AI advancements. These include jobs in healthcare, such as medical professionals; skilled trades like electricians or plumbers; and roles in education that involve personalized instruction. Such positions often require emotional intelligence, adaptability, and hands-on skills that AI cannot easily replicate.

Can I learn ML in 3 months?

A Temporary Machine Learning Engineer can acquire foundational machine learning skills in three months with intensive study, focusing on programming (Python), algorithms, and tools like scikit-learn or TensorFlow. However, mastering complex models and gaining practical experience typically requires longer, ongoing learning and project work.
What cities near Elgin, IL are hiring for Temporary Machine Learning Engineer jobs? Cities near Elgin, IL with the most Temporary Machine Learning Engineer job openings:
Infographic showing various Temporary Machine Learning Engineer job openings in Elgin, IL as of June 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $127,290 per year, or $61.2 per hour.

Full-time

Posted 11 days ago


Job description

Responsibilities

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  
Qualifications

Required Education and Experience: 

  • Bachelor's 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: 

  • Master's 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
Essential Information for Our EmployeesAt the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees, and our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Company policy prohibits discrimination and harassment against any applicant or employee based on any status or basis protected by applicable law. In addition, the Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Please note, if you are an employee in the US moving from one position to another, you may be subject to additional background screening based on the requirements of the new role.Employment Type: FULL_TIME