ML Ops Engineer
Lannon, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Lannon, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Waukesha, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Waukesha, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Wales, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Wales, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Milwaukee, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Milwaukee, WI · On-site
Required Skills * 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 ...
Required Skills * 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 ...
Required Skills * 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 ...
ML Ops Engineer
Nashotah, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Nashotah, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
North Lake, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
North Lake, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Brown Deer, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Brown Deer, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Thiensville, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Thiensville, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Pewaukee, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Pewaukee, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Merton, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Merton, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Sussex, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Sussex, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Delafield, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Delafield, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Saint Francis, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Saint Francis, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Menomonee Falls, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Menomonee Falls, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Colgate, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Colgate, WI · On-site
Required Skills * 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 ...
Required Skills * 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 ...
Required Skills * 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 ...
ML Ops Engineer
Glendale, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Glendale, WI · On-site
Required Skills * 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 ...
Required Skills * 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 ...
Required Skills * 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 ...
ML Ops Engineer
Bayside, WI · On-site
Required Skills * 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 ...
ML Ops Engineer
Bayside, WI · On-site
Required Skills * 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 ...
Jr Devops Engineer information
See Milwaukee, WI salary details
$18.95 - $25.36
3% of jobs
$25.36 - $31.78
4% of jobs
$31.78 - $38.20
3% of jobs
$38.20 - $44.61
8% of jobs
$47.82 is the 25th percentile. Wages below this are outliers.
$44.61 - $51.03
13% of jobs
$51.03 - $57.44
18% of jobs
The median wage is $57.78 / hr.
$57.44 - $63.86
20% of jobs
$66.82 is the 75th percentile. Wages above this are outliers.
$63.86 - $70.28
14% of jobs
$70.28 - $76.69
9% of jobs
$76.69 - $83.11
5% of jobs
$83.11 - $89.52
3% of jobs
$18
$58
$89
How much do jr devops engineer jobs pay per hour?
As of Sep 12, 2026, the average hourly pay for jr devops engineer in Milwaukee, WI is $58.24, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $68.22 per hour, depending on experience, location, and employer.
What is a Jr DevOps Engineer?
Jr DevOps Engineers are entry-level professionals who assist in bridging the gap between software development and IT operations. They help automate processes, manage infrastructure, and support continuous integration and deployment pipelines. Their responsibilities typically include maintaining servers, troubleshooting deployment issues, scripting automation tasks, and working closely with both developers and system administrators to ensure smooth delivery of software updates. Jr DevOps Engineers often gain experience with cloud platforms, configuration management tools, and monitoring solutions as they grow in their roles.
What are the key skills and qualifications needed to thrive as a Jr DevOps Engineer?
To thrive as a Jr DevOps Engineer, you need a solid understanding of software development, system administration, and fundamental networking concepts, often supported by a degree in computer science or related fields. Familiarity with CI/CD tools (like Jenkins or GitLab CI), cloud platforms (such as AWS or Azure), and scripting languages (like Python or Bash) is typically required. Strong problem-solving skills, effective communication, and a collaborative mindset help you stand out in this role. These skills and qualities are vital for ensuring smooth software delivery, quick issue resolution, and effective teamwork across development and operations.
What are some typical challenges faced by Jr DevOps Engineers when working in cross-functional teams?
Jr DevOps Engineers often encounter challenges such as adapting to rapid changes in project requirements and learning to communicate effectively with both development and operations colleagues. Balancing priorities between deploying new features and maintaining system stability can be tricky, especially when collaborating with teams that have differing goals or timelines. Proactively seeking feedback, documenting processes, and staying open to mentorship can help address these challenges and foster smoother teamwork.
What is the difference between Jr Devops Engineer vs Devops Engineer?
| Aspect | Jr Devops Engineer | Devops Engineer |
|---|---|---|
| Required Credentials | Associate degree or relevant certifications (e.g., AWS, Docker) | Bachelor's degree in CS or related field; more certifications |
| Work Environment | Entry-level, team support, learning-focused | More autonomous, project leadership |
| Employer & Industry Usage | Startups, tech companies, IT departments | Established companies, larger teams |
| Search & Comparison Intent | Understanding entry-level roles, career progression | Looking for experienced roles, responsibilities |
The main difference between a Jr Devops Engineer and a Devops Engineer lies in experience, responsibilities, and qualifications. Jr Devops Engineers are entry-level, focusing on learning and supporting existing systems, while Devops Engineers handle more complex tasks, automation, and system design. Both roles are vital in tech environments, but the Devops Engineer typically requires more experience and technical expertise.
ML Ops Engineer
Lannon, WI • On-site
Techvilla Solutions
• IT Services • 51 - 200 employees51 - 200 employees
Full-time
Posted 22 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