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 ...
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Machine Learning Engineer
Niles, IL · On-site
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Principal Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of ...
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Machine Learning Engineer
Niles, IL · On-site
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Machine Learning Engineer
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Machine Learning Engineer
Niles, IL · On-site
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Machine Learning Engineer
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Dekalb, IL · On-site
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Machine Learning Engineer Niles, Illinois
Niles, IL · On-site
$103K - $129K/yr
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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 ...
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Machine Learning Engineer
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$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 ...
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Machine Learning Engineer
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$96K - $131K/yr
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AWS Machine Learning Engineer
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$72K - $108K/yr
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AWS Machine Learning Engineer
Chicago, IL · On-site
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Chicago, IL · On-site
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Chicago, IL · On-site
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Hardware Machine Learning Engineer
Chicago, IL · On-site
$200K - $225K/yr
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 ...
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Chicago, IL · On-site
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Principal Machine Learning Engineer
Chicago, IL · On-site
$200K - $250K/yr
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 ...
Principal Machine Learning Engineer
Chicago, IL · On-site
$200K - $250K/yr
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 ...
Principal Machine Learning Engineer
Chicago, IL · On-site
$200K - $250K/yr
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 ...
Principal Machine Learning Engineer
Chicago, IL · On-site
$200K - $250K/yr
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 ...
Principal Machine Learning Engineer
Chicago, IL · On-site
$200K - $250K/yr
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 ...
Principal Machine Learning Engineer
Chicago, IL · On-site
$200K - $250K/yr
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 ...
Temporary Machine Learning Engineer information
See Elgin, IL salary details
$31.1K - $45.7K
1% of jobs
$45.7K - $60.3K
1% of jobs
$60.3K - $74.8K
5% of jobs
$74.8K - $89.4K
6% of jobs
$101.4K is the 25th percentile. Wages below this are outliers.
$89.4K - $103.9K
14% of jobs
$103.9K - $118.5K
14% of jobs
The median wage is $125.8K / yr.
$118.5K - $133K
18% of jobs
$133K - $147.6K
14% of jobs
$150.6K is the 75th percentile. Wages above this are outliers.
$147.6K - $162.2K
12% of jobs
$162.2K - $176.7K
11% of jobs
$176.7K - $191.3K
5% of jobs
$31.1K
$127.3K
$191.3K
How much do temporary machine learning engineer jobs pay per year?
What is the difference between Temporary Machine Learning Engineer vs Data Scientist?
| Aspect | Temporary Machine Learning Engineer | Data Scientist |
|---|---|---|
| Credentials | Bachelor's or Master's in CS, Data Science, or related fields; experience with ML frameworks | Bachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills |
| Work Environment | Project-based, often contract roles in tech or finance companies | Research and analysis-focused, in tech, finance, or healthcare sectors |
| Employer Usage | Used for short-term ML projects, model deployment, or prototyping | Used 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?
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Can I learn ML in 3 months?

Full-time
Posted 11 days ago
Job description
Position Responsibilities:Â
- Design, build, and maintain Continuous Integration/Continuous Development (CI/CD) pipelines for machine learning modelsÂ
- Deploy and manage ML models in production environments using containerization and orchestration technologiesÂ
- Implement monitoring, logging, and alerting solutions to track model performance, system health, and data driftÂ
- Collaborate with data scientists to understand model requirements and optimize the process of transforming models from development to a production-ready stateÂ
- Create and maintain technical documentation for ML Operations (Ops) processes, infrastructure, and deploymentsÂ
- Define ML/Artificial Intelligence (AI) governance to ensure data security and ethical standards are met for all modeling processesÂ
- Travel up to 5% of the timeÂ
- Other duties as assigned Â
Required Education and Experience:Â
- 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 experienceÂ
Preferred Education and Experience:Â
- Master's Degree in computer science, Data Science, or other graduate education in related quantitative fieldsÂ
- 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 lifecycleÂ
- Experience building ML Ops infrastructure and serving models via cloud platforms such as Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)Â
- Strong proficiency in Python and working knowledge of Bash/shell scripting for automation and system operationsÂ
- Strong understanding of Structured Query Language (SQL) and experience with big data platforms, i.e., Snowflake, Databricks, or similarÂ
- Experience with Infrastructure-as-Code tools, i.e., Terraform, Azure Resource Manager, or similar