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Temporary Machine Learning Software Engineer Jobs in Chicago, IL

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

In JOPP, the demand typically includes roles such as entry-level software programmer , Java full ... and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates ...

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

In JOPP, the demand typically includes roles such as entry-level software programmer , Java full ... and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates ...

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of ...

They are seeking a highly motivated Machine Learning Engineer to design and implement machine learning models for advanced battery products, collaborating with cross-disciplinary teams to address ...

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers our platform. This is a zero-to-one role. You will be the first dedicated ML hire and will own how ...

Hardware Machine Learning Engineer

Chicago, IL

$127.20K - $167.90K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can ...

They are seeking a highly motivated Machine Learning Engineer to design and develop innovative ML models for advanced battery products and collaborate with R&D teams to tackle real-world challenges.

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

Senior Machine Learning Engineer

Chicago, IL · On-site +1

$107.60K - $147.80K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... Collaborate as part of a cross-functional Agile team to create and enhance software that enables ...

The Machine Learning Engineer II role is part of the Technology Team, which is responsible for ... Experience with a statistical software (e.g. R, SAS) > * Experience with natural language ...

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Temporary Machine Learning Software Engineer information

See Chicago, IL salary details

$24.7K

$108K

$194.7K

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

As of May 31, 2026, the average yearly pay for temporary machine learning software engineer in Chicago, IL is $108,024.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $123,600.00 per year, depending on experience, location, and employer.

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

AspectTemporary Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related fields; coding skillsBachelor's or Master's in CS, Statistics, or related fields; analytical skills
Work EnvironmentSoftware development teams, project-based rolesData analysis teams, research-focused roles
Employer & Industry UsageTech companies, startups, consulting firmsFinance, healthcare, tech, research institutions
Search & Comparison IntentOften compared for technical roles involving ML implementationCompared for data analysis and modeling expertise

The main difference is that a Temporary Machine Learning Software Engineer focuses on developing and deploying ML models within software projects, while a Data Scientist emphasizes data analysis, statistical modeling, and deriving insights from data. Both roles require strong technical skills, but their focus areas and typical tasks differ.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Chicago, IL? The most popular types of Machine Learning Software Engineer jobs in Chicago, IL are:

Machine Learning Engineer

Reyes Coca-Cola Bottling

Niles, IL • On-site

$103.46K - $129.32K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


Reyes Coca-Cola Bottling rating

8.1

Company rating: 8.1 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

65th of 379 rated food and drinks producers


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:
  • 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

Benefits
At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees. This position offers a comprehensive benefits package that includes Medical, Dental, Vision coverage, Paid Time Off, Retirement Benefits, and complimentary Health Screenings.
Equal Opportunity Employee & Physical Demands
Reyes Holdings and its businesses are equal opportunity employers. Company policy prohibits discrimination and harassment against any applicant or employee based on race, color, religion, sex, pregnancy or pregnancy-related medical conditions, marital status, sexual orientation, gender identity or expression, age, national origin, citizenship, disability, genetic information, military or veteran status, or any other basis protected by applicable law. In addition, the Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Requests for accommodation should be directed to your point of contact in the Talent Acquisition or Human Resources departments.
Background Check and Drug Screening
Offers of employment are contingent upon successful completion of a background check and drug screening.
Pay Transparency
Our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Moreover, this role may have the opportunity to participate in a discretionary incentive program, subject to program rules.

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