ML Ops Engineer
Menomonee Falls, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Menomonee Falls, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Greenfield, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Greenfield, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Greendale, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Greendale, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Fox Point, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Fox Point, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Muskego, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Muskego, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
New Berlin, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
New Berlin, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Hartland, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Hartland, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Colgate, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Colgate, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Wauwatosa, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Wauwatosa, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Vernon, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Vernon, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Richfield, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Richfield, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Bayside, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Bayside, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
West Milwaukee, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
West Milwaukee, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Whitefish Bay, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Whitefish Bay, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Glendale, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Glendale, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Cudahy, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Cudahy, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
River Hills, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
River Hills, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Hales Corners, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Hales Corners, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Big Bend, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Big Bend, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Elm Grove, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
ML Ops Engineer
Elm Grove, WI · On-site
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience ...
Ops Engineer information
See Wisconsin salary details
$37.3K - $46.5K
3% of jobs
$46.5K - $55.6K
3% of jobs
$55.6K - $64.7K
4% of jobs
$64.7K - $73.9K
9% of jobs
$77K is the 25th percentile. Wages below this are outliers.
$73.9K - $83K
15% of jobs
The median wage is $86.6K / yr.
$83K - $92.1K
39% of jobs
$93.4K is the 75th percentile. Wages above this are outliers.
$92.1K - $101.3K
9% of jobs
$101.3K - $110.4K
9% of jobs
$110.4K - $119.5K
4% of jobs
$119.5K - $128.6K
2% of jobs
$128.6K - $137.8K
1% of jobs
$37.3K
$88K
$137.8K
How much do ops engineer jobs pay per year?
As of Sep 9, 2026, the average yearly pay for ops engineer in Wisconsin is $88,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,200.00 and $98,400.00 per year, depending on experience, location, and employer.
What is the difference between Ops Engineer vs DevOps Engineer?
| Aspect | Ops Engineer | DevOps Engineer |
|---|---|---|
| Credentials | Typically requires a degree in computer science or related field, with certifications like AWS, Linux, or Cisco | Similar credentials, often with additional certifications in automation tools and cloud platforms |
| Work Environment | Focuses on maintaining and supporting existing infrastructure, often in data centers or cloud environments | Involves automation, CI/CD pipelines, and collaboration between development and operations teams |
| Industry Usage | Commonly used in IT operations, cloud services, and infrastructure management | Widely used in software development, cloud deployment, and continuous integration practices |
While both roles require technical expertise in infrastructure and cloud platforms, Ops Engineers primarily focus on maintaining and supporting systems, whereas DevOps Engineers emphasize automation, deployment, and collaboration between development and operations teams.
How much do operations engineers make in the US?
Operations engineers in the US typically earn a median annual salary of around $80,000 to $110,000, depending on experience, location, and industry. Salaries can vary based on skills such as automation, scripting, and familiarity with cloud platforms or monitoring tools.
Is operations a high paying job?
Operations engineering is generally considered a well-paying role, especially for those with technical skills, experience, and certifications. Salaries vary by industry, location, and level of responsibility but tend to be competitive within engineering and technical fields.
What does an Ops Engineer do?
An Ops Engineer is responsible for managing and maintaining an organization’s IT infrastructure, including servers, networks, and cloud services. They automate deployment processes, monitor system performance, troubleshoot issues, and ensure system reliability and security using tools like scripting languages and monitoring platforms.
ML Ops Engineer
Menomonee Falls, WI • On-site
Techvilla Solutions •Â
IT Services • 51 - 200 employees51 - 200 employees
Full-time
Posted 19 days ago
Job description
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience with cloud platforms, CI/CD, containerization, model deployment, monitoring, and ML lifecycle management.
Roles and Responsibilities- Build and maintain MLOps pipelines for model development, deployment, monitoring, and retraining.
- Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration.
- Deploy and manage machine learning models across cloud and on-premise environments.
- Implement model versioning, experiment tracking, feature management, and model governance.
- Build scalable infrastructure using Docker, Kubernetes, and cloud services.
- Monitor model performance, data quality, system health, and production workloads.
- Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams.
- Troubleshoot production ML systems and optimize reliability, scalability, and performance.
- Implement security, access controls, logging, and compliance best practices.
- 5+ years of experience in DevOps, ML Engineering, MLOps, or a related field.
- Strong experience with MLOps concepts and ML lifecycle management.
- Hands-on experience with Python and scripting.
- Experience with AWS, Azure, or GCP.
- Strong knowledge of Docker and Kubernetes.
- Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
- Experience with MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML, or similar ML platforms.
- Experience with Git, Terraform, and infrastructure automation.
- Knowledge of model monitoring, observability, data validation, and model performance tracking.
- Strong understanding of REST APIs, microservices, Linux, and cloud-native architectures.
- Experience with Apache Airflow, Databricks, Spark, or Kafka.
- Knowledge of LLMOps/GenAI deployment and monitoring.
- Experience with model serving frameworks such as KServe, Seldon, or NVIDIA Triton.
- Familiarity with Prometheus, Grafana, ELK, or similar observability tools.
- Understanding of ML security, governance, and responsible AI practices.
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience.
About Techvilla Solutions
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
CA, US
Year founded
2006