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Mlops Engineer Jobs in Chicago, IL (NOW HIRING)

Accord Technologies Inc.

MLOPS Engineer

Chicago, IL · On-site

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 ...

Grindr

Senior Staff MLOps Engineer

Chicago, IL · On-site

$190K - $315K/yr

As a Staff MLOps Engineer, you will build and own the infrastructure, tooling, and scalable systems that make high-impact AI possible. You'll architect and maintain the platforms that power data ...

ADDSOURCE

Data Science/MLOps Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Science/MLOps Engineer Experience: - Min 8+ Years Location: - Chicago, IL We are seeking a highly skilled Senior Engineer with strong expertise in Python, Data Science, AI/ML, and AWS cloud ...

Alpha Consulting Corp.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Alpha Consulting Corp. is seeking a highly skilled MLOps Engineer / Python Developer with expertise in building and maintaining scalable data and machine learning pipelines. The role involves ...

Huntington

MLOps Automation Senior Lead Engineer

Chicago, IL · On-site +1

$107K - $140K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and deploying MLOps Automation for some of Huntington's most valuable and most challenging data-driven projects.

Co-Sourcing Partners

GCP AI/ML Engineer

Chicago, IL · On-site

Job Title: GCP AI/ML Engineer Duration: 6 months Contract to hire Location: Chicago is the ... The ideal candidate will have strong expertise in Vertex AI, MLOps, and cloud-native ML ...

Scepter Technologies, Inc

DevOps Engineer 3

Chicago, IL · On-site

$54.50 - $74.50/hr

Work with AWS MLOps and AI services, including SageMaker Notebooks, Amazon Bedrock, ECS/EKS, and IAM . * Maintain high standards for software and infrastructure quality through effective engineering ...

ChaTeck Incorporated

DevOps Engineer 3

Chicago, IL · On-site

$54.50 - $74.50/hr

Work with AWS MLOps and AI services, including SageMaker Notebooks, Amazon Bedrock, ECS/EKS, and IAM . * Maintain high standards for software and infrastructure quality through effective engineering ...

The AES Group

DevOps Engineer 3

Chicago, IL · On-site

$54.25 - $74.50/hr

Work with AWS MLOps and AI services, including SageMaker Notebooks, Amazon Bedrock, ECS/EKS, and IAM . * Maintain high standards for software and infrastructure quality through effective engineering ...

Northern Base

Senior AI ML Engineer

Chicago, IL · On-site

$120K - $130K/yr

ML engineering/Applied AI; production ML deployment; RAG and Agentic AI systems; Python; model ... MLOps/model monitoring preferred; regulated/high-compliance environments preferred. Roles ...

Alliance Sourcing Network

DevOps Engineer

Chicago, IL · On-site

$54.50 - $74.50/hr

Strong AWS experience with MLOps & AI services (e.g. SageMaker Notebooks, Bedrock, ECS/EKS, & IAM ... s Engineer you will contribute to design, development, testing and deployment of software systems ...

Crate and Barrel

AI/ ML Engineer

Northbrook, IL · On-site

$80 - $120/hr

This role is ideal for an engineer eager to solidify their production skills, learn MLOps best practices under senior guidance, and immediately contribute to impactful, user-facing features. * This ...

Compunnel

AI Engineering / GenAI Lead

Chicago, IL · On-site

$105K - $139K/yr

Job Summary We are looking for an experienced AI Engineering / Generative AI (GenAI) Lead to lead ... MLOps and LLMOps practices for production deployment, monitoring, evaluation, and lifecycle ...

KnackHook, LLC

Senior DevOps Engineer

Chicago, IL · On-site

$134K - $172K/yr

... Engineer Contract Chicago, IL, Hybrid ​ Required Qualifications:  • At least 5-7 or more years of experience in a DevOps Engineer role • At least 5 ...

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Mlops Engineer information

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$103.2K

$161.9K

$187.8K

How much do mlops engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for mlops engineer in Chicago, IL is $161,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $155,502.00 and $174,491.00 per year, depending on experience, location, and employer.

What is an MLOps engineer?

An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and operations by automating workflows, optimizing infrastructure, and ensuring model reliability. Their role includes CI/CD for ML models, data pipeline management, and performance monitoring. They also work with cloud platforms, containerization, and orchestration tools to scale ML systems efficiently.

What are some common challenges MLOps engineers face in their daily work?

Mlops Engineers often encounter challenges in integrating new machine learning models into existing production systems while ensuring minimal downtime and maintaining data integrity. Managing the scaling and orchestration of models across various cloud or on-prem environments can be complex, requiring close coordination with data scientists and DevOps teams. Staying up to date with rapidly evolving tools and best practices is also essential in this field. Addressing these challenges provides valuable opportunities to innovate and improve both technical processes and team collaboration.

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

To thrive as an Mlops Engineer, you need strong skills in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Docker, Kubernetes, TensorFlow, AWS/GCP/Azure, and CI/CD systems is essential, and certifications like AWS Certified Machine Learning or Kubernetes Administrator are often valued. Effective communication, problem-solving, and teamwork are crucial soft skills for collaborating across data science and IT teams. These abilities enable Mlops Engineers to efficiently deploy, manage, and scale machine learning models in dynamic production environments.

What do you need to be a MLOps engineer?

To become a MLOps engineer, you typically need a strong background in software engineering, machine learning, and cloud platforms. Proficiency in programming languages like Python, experience with containerization tools such as Docker, and knowledge of CI/CD pipelines are essential. Certifications in cloud services and familiarity with tools like Kubernetes and ML frameworks also enhance qualifications.

Who earns more, ML engineer or MLOps engineer?

MLOps engineers typically earn slightly more than ML engineers due to their focus on deploying, maintaining, and scaling machine learning systems, which requires expertise in cloud platforms, automation, and infrastructure. Salary differences can vary based on experience, location, and company size, but MLOps roles often command higher compensation because of their specialized skill set.

What are the most commonly searched types of Mlops Engineer jobs in Chicago, IL?

The most popular types of Mlops Engineer jobs in Chicago, IL are:

What are popular job titles related to Mlops Engineer jobs in Chicago, IL?

For Mlops Engineer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Mlops Engineer jobs in Chicago, IL look for?

The top searched job categories for Mlops Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Mlops Engineer jobs?

Cities near Chicago, IL with the most Mlops Engineer job openings:

Mlops Engineer jobs near you
Infographic showing various Mlops Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, 4% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $161,894 per year, or $77.8 per hour.

MLOPS Engineer

Chicago, IL • On-site

Accord Technologies Inc.
IT Services • 51 - 200 employees
Learn more about Accord Technologies Inc.external

Contractor

Re-posted 29 days ago

Job description

Title: MLOPS Engineer
Location: Chicago, IL
Duration: 12+ months
Position type: W2 contract
 
 
Required Skills for the MLOps Engineer:
- Bachelor's plus 9+ years of experience, Master's plus 6+ years of experience
- Experience working with an object-oriented programming language (Python, Golang, Java, C/C++ etc.)
- Experience with MLOps frameworks like MLflow, Kubeflow, etc
- Proficiency in programming (Python, R, SQL)
- Ability to design and implement cloud solutions and build MLOps pipelines on cloud solutions (e.g., AWS)
- Strong understanding of DevOps principles and practices, CI/CD, etc. and tools (Git, GitHub, jFrog Artifactory, Azure DevOps, etc.)
- Experience with containerization technologies like Docker and Kubernetes
- Strong communication and collaboration skills
- Ability to help work with a team to create User Stories and Tasks out of higher-level requirements
 
Preferred Skills:
- Ability to create model inference systems with advanced deployment methods that integrate with other MLOps components like MLFlow
- Knowledge of inference systems like Seldon, Kubeflow, etc
- Knowledge of deploying applications and systems in Langfuse or Kubernetes using Helm and Helmfile
- Knowledge of infrastructure orchestration using CloudFormation or Terraform
- Exposure to observability tools (such as Evidently AI)
 
MLOps Engineer Overview:
The MLOps Platform Team works within the Enterprise Data and Analytics Organization driving the ability to work with Internal Teams to be able to support the full life-cycle of AI and machine learning development through to beyond production. Helping build a platform that enables data driven decisions across the enterprise, helping teams build high-value data and AI/ML products, and enable the operationalization and reliability of all models. We are searching for a driven and highly skilled MLOps Engineer to join our MLOps Platform team at ServiceNow. The role will build the MLOps Platform, build self-service ML Development tooling, and building platform adoption.
 
Responsibilities:
- Define scalable and secure architectures, frameworks and pipelines for building, deploying and diagnosing production ML applications
- Enable users & teams on the ML platform; troubleshoot and debug user issues; maintain user-friendly documentation and training
- Collaborate with internal stakeholders to build a comprehensive MLOps Platform
- Design and implement cloud solutions and build MLOps pipelines on cloud solutions (e.g., AWS)
- Develop standards and examples to accelerate the productivity of data science teams
- Run code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality, including data & concept drift
- Create way to automate the testing, validation, and deployment of data science models
- Provide best practices and execute POC for automated and efficient MLOps at scale
 
Education Requirements:
- Bachelor's degree or Master's degree