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Deployment Engineer Jobs in Wisconsin (NOW HIRING)

Techvilla Solutions

ML Ops Engineer

Cudahy, WI

Build and maintain MLOps pipelines for model development, deployment, monitoring, and retraining ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Techvilla Solutions

ML Ops Engineer

Milwaukee, WI

Build and maintain MLOps pipelines for model development, deployment, monitoring, and retraining ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Techvilla Solutions

ML Ops Engineer

Wales, WI · On-site

Build and maintain MLOps pipelines for model development, deployment, monitoring, and retraining ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Techvilla Solutions

ML Ops Engineer

Waukesha, WI · On-site

Build and maintain MLOps pipelines for model development, deployment, monitoring, and retraining ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Techvilla Solutions

ML Ops Engineer

Lannon, WI · On-site

Build and maintain MLOps pipelines for model development, deployment, monitoring, and retraining ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Machine Intelligence Technologies, LLC

WI · On-site

$120 - $180/hr

Provisioning and automating GPU Bare Metal deployments * DevOps - Assist customer support and CloudOps teams with GPU specific knowledge/debugging during customer escalations * Performance testing ...

New

American Operations Corporation

WI · On-site

$90 - $110/hr

Manages software build execution, release packaging, deployment promotion, release sequencing ... The Build & Release Engineer works directly with the DevSecOps Platform Lead, Configuration Manager ...

CLEAResult

WI · On-site

$120 - $130/hr

You'll be the connective tissue between engineering, QA, and operations--planning releases ... Coordinate deployments across environments (dev, staging, production) and own rollback and recovery ...

HIVE

WI · On-site

$90 - $140/hr

The Role As Deployment Manager, you will own the end-to-end delivery of customer deployments in the ... You will coordinate customers, engineering teams, operators, equipment, logistics, site readiness ...

Deloitte

Deployment Success Manager

Milwaukee, WI · On-site

We are a team of strategists, data scientists, operators, creatives, designers, engineers, and ... Work you'll do As a Deployment Success Manager on the Customer team, you will be responsible for:

Crusoe Energy Systems LLC

WI · On-site

$148 - $170/hr

As Staff Instrumentation and Controls Engineer, Deployment - you will be a deployment and execution lead for the nervous system of Crusoe’s hyperscale data centers. You will spearhead the ...

Collabera

Build & Release Engineer

Milwaukee, WI

Works with developers and stakeholders to deliver quality software through the build and deployment system * Partners with and provides direction to fellow team members to diagnose bugs and formulate ...

Collabera

Build & Release Engineer

Milwaukee, WI

Works with developers and stakeholders to deliver quality software through the build and deployment system * Partners with and provides direction to fellow team members to diagnose bugs and formulate ...

Hive-X

WI · On-site

$90 - $120/hr

Platform Engineer -- NIHDI IT Platform Team About the Role The Platform Engineer is a key member of ... Build and optimize multi-stage deployment pipelines covering build, test, package, and deploy for

Deloitte

Customer Deployment Specialist

Milwaukee, WI · On-site

We are a team of strategists, data scientists, operators, creatives, designers, engineers, and ... Work you'll do As a Customer Deployment Specialist on the Digital Foundry, Operate, & Innovation ...

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Showing results 41-60

All JobsDeployment Engineer JobsDeployment Engineer Jobs in Wisconsin

Deployment Engineer information

See Wisconsin salary details

$35.8K

$110.6K

$171.6K

How much do deployment engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for deployment engineer in Wisconsin is $110,585.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,300.00 and $139,800.00 per year, depending on experience, location, and employer.

What is a deployment engineer?

A deployment engineer is a computer system specialist who installs and maintains networks, software, or computer systems. As a deployment engineer, your responsibilities include troubleshooting issues related to routers and wireless networks, training customers how to use methods or implement upgrades, and ensuring that security is functioning properly on all network assets. Qualifications to become a deployment engineer include proficiency with networks protocols, proprietary programs, and equipment. Many employers prefer candidates with customer support experience.

What are the key skills and qualifications needed to thrive as a deployment engineer?

To thrive as a Deployment Engineer, you need a solid background in software development, systems administration, and deployment methodologies, often supported by a degree in computer science or related field. Familiarity with configuration management tools (like Ansible, Puppet, or Chef), CI/CD pipelines, and cloud platforms such as AWS or Azure is typically required. Problem-solving, attention to detail, and strong communication skills distinguish top performers in this role. These skills are crucial for ensuring smooth, reliable software releases and effective collaboration with cross-functional teams.

What are some common challenges faced by deployment engineers during software rollout, and how are they typically addressed?

Deployment Engineers often face challenges such as coordinating with multiple teams, managing unexpected technical issues during rollout, and ensuring minimal downtime. These are typically addressed by thorough planning, automated deployment pipelines, and clear communication with stakeholders. Proactive testing in staging environments and having rollback strategies in place also help mitigate risks and ensure smooth deployments.

What is the difference between Deployment Engineer vs Network Engineer?

AspectDeployment EngineerNetwork Engineer
Required CredentialsBachelor's in CS or IT, certifications like Cisco CCNA, CompTIA Network+Bachelor's in CS, IT, or related field; Cisco CCNA, CompTIA Network+ often preferred
Work EnvironmentData centers, client sites, cloud environmentsCorporate offices, data centers, network operation centers
Industry UsageIT services, cloud providers, telecomTelecommunications, enterprise IT, service providers
Common Search/ComparisonDeployment Engineer vs Network Engineer

Deployment Engineers focus on implementing and configuring software or hardware solutions across various environments, ensuring smooth deployment processes. Network Engineers specialize in designing, maintaining, and troubleshooting network infrastructure. While both roles require networking knowledge and certifications, Deployment Engineers often work closely with software and system deployment, whereas Network Engineers focus on network connectivity and security.

More about Deployment Engineer jobs

What are the most commonly searched types of Deployment Engineer jobs in Wisconsin?

The most popular types of Deployment Engineer jobs in Wisconsin are:

What are popular job titles related to Deployment Engineer jobs in Wisconsin?

For Deployment Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Deployment Engineer jobs in Wisconsin look for?

The top searched job categories for Deployment Engineer jobs in Wisconsin are:

What are popular job titles related to Deployment Engineer jobs in WI?

For Deployment Engineer jobs in WI, the most frequently searched job titles are:

Deployment Engineer jobs near you
Infographic showing various Deployment Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $110,585 per year, or $53.2 per hour.

ML Ops Engineer

Techvilla Solutions

Cudahy, WI

Full-time

Posted 15 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.
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 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.
Preferred Skills
  • 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.
Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience.

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