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Mlops Machine Learning Engineer Jobs in Alsip, IL

Lead Machine Learning Engineer

Chicago, IL

$105K - $139K/yr

You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML. * You have experience in machine learning engineering and ...

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

The Hartford seeks a driven, team-focused Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Customer Operations Data Science team. The Hartford is ...

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 ...

Machine Learning Engineer

Chicago, IL · On-site +1

$95 - $105/hr

... Machine Learning Engineer to help build the algorithmic assets and features that Hyatt guests, members, customers and internal users leverage to transform the guest experience and drive efficiencies ...

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

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 ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... Understanding of FDA regulatory requirements for AI/ML in medical devices Experience with MLOps ...

Machine Learning Engineer II

Chicago, IL · On-site

$108K - $136K/yr

The Machine Learning Engineer II role is part of the Technology Team, which is responsible for providing industry-leading machine learning-based tools or processes to the Company, which provide a ...

TEKsystems is seeking a Machine Learning Engineer to support one of our major customers that sits in Chicago. THIS IS 100% REMOTE and LONG TERM. Top 3-5 Skills - Strong engineering foundation ...

Machine Learning Engineer II

Chicago, IL · On-site

$108K - $136K/yr

The Machine Learning Engineer II role is part of the Technology Team, which is responsible for providing industry-leading machine learning-based tools or processes to the Company, which provide a ...

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 ...

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 ...

MLOPS Engineer Location: Chicago, IL Duration: 12+ months Position type: W2 contract Required Skills f or the MLOps Engineer: - Bachelor's plus 9+ years of experience, Master ...

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Mlops Machine Learning Engineer information

See Alsip, IL salary details

$32.1K

$131.1K

$197K

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

As of Aug 1, 2026, the average yearly pay for mlops machine learning engineer in Alsip, IL is $131,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,300.00 and $157,800.00 per year, depending on experience, location, and employer.

What does an MLOps Machine Learning Engineer do?

An MLOps Machine Learning Engineer bridges the gap between data science and IT operations by developing, deploying, and maintaining machine learning models in production environments. They are responsible for automating workflows, managing model versioning, monitoring performance, and ensuring scalability and reliability of ML systems. Their work enables organizations to deploy machine learning solutions efficiently and consistently, making it easier to update and manage models as business needs evolve.

How does an MLOps Machine Learning Engineer typically collaborate with data scientists and software engineers during the deployment of machine learning models?

An MLOps Machine Learning Engineer acts as a bridge between data scientists and software engineers, ensuring machine learning models transition smoothly from development to production. They often work closely with data scientists to understand model requirements, data pipelines, and performance metrics, while also collaborating with software engineers to integrate models into scalable systems. Regular communication, shared documentation, and joint troubleshooting sessions are common, as the role requires aligning model performance with system reliability and maintainability. This collaborative environment helps ensure that models are robust, scalable, and impactful in real-world applications.

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

AspectMlops Machine Learning EngineerData Scientist
Required CredentialsBachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps toolsBachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning
Work EnvironmentFocus on deploying, maintaining, and scaling ML models in production environmentsFocus on data analysis, model development, and insights generation
Employer & Industry UsageTech companies, startups, enterprises implementing ML solutionsResearch institutions, analytics firms, tech companies for data insights

While both roles involve machine learning, Mlops Machine Learning Engineers specialize in deploying and maintaining models in production, ensuring scalability and reliability. Data Scientists primarily focus on developing models and analyzing data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.

What are the key skills and qualifications needed to thrive as an MLOps Machine Learning Engineer, and why are they important?

To thrive as an MLOps Machine Learning Engineer, you need a strong background in machine learning concepts, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and certifications such as Google Professional Machine Learning Engineer are highly beneficial. Strong problem-solving abilities, collaboration, and communication skills help you work effectively across data science and engineering teams. These skills are essential for reliably deploying, monitoring, and maintaining scalable machine learning solutions in production environments.
What cities near Alsip, IL are hiring for Mlops Machine Learning Engineer jobs? Cities near Alsip, IL with the most Mlops Machine Learning Engineer job openings:

Machine Learning Engineer

Strategic Employment

Chicago, IL • Hybrid

Other

Re-posted 6 days ago


Job description

A well-established, publicly traded company in Chicago is hiring its first full-time Machine Learning Engineer. After two years of running ML systems in production through an outside consulting firm, this organization is building the capability in-house. This is a hands-on individual contributor role where you would be building new ML pipelines and models, while also maintaining and improving what is already in production.

Hybrid: 3 days onsite, 2 days remote

Downtown Chicago

What You Bring:

  • 4+ Machine Learning engineering experience
  • Hands-on work building, deploying, and maintaining models in production
  • Python experience
  • Full pipeline experience: data ingestion, training, evaluation
  • Understand MLOps

Pluses:

  • AWS SageMaker experience
  • Generative AI
  • SQL and/or other relational databases

US work authorization required; sponsorship is not available.

If this sounds like the right scope for where you are in your career, we would like to hear from you.



Strategic Employment Partners logo

About Strategic Employment Partners

Sourced by ZipRecruiter

Strategic Employment Partners (SEP) was founded in 2007, serving companies in the Greater Los Angeles area by providing Technology Recruiting and Placement Services. With the combined experience of our seasoned professionals, SEP quickly began to build strong partnerships and provide curated talent for some of the largest and fastest growing companies in Los Angeles. Since then, SEP has expanded its operations and currently has eight divisions nationwide.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2006

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