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Vertex Jobs in Wisconsin (NOW HIRING)

Techvilla Solutions

ML Ops Engineer

Cudahy, WI · On-site

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 ...

Techvilla Solutions

ML Ops Engineer

Glendale, WI · On-site

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 ...

Techvilla Solutions

ML Ops Engineer

Bayside, WI · On-site

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 ...

Techvilla Solutions

ML Ops Engineer

River Hills, WI

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 ...

Techvilla Solutions

ML Ops Engineer

Franklin, WI · On-site

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 ...

Techvilla Solutions

ML Ops Engineer

Elm Grove, WI · On-site

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 ...

Techvilla Solutions

ML Ops Engineer

Butler, WI · On-site

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 ...

Techvilla Solutions

ML Ops Engineer

West Allis, WI · On-site

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 ...

Techvilla Solutions

ML Ops Engineer

Big Bend, WI · On-site

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 ...

McDonald Mfg. Co.

Quality Technician 1st shift

Monroe, WI · On-site

$17 - $22.75/hr

Create Vertex Programs if needed * Perform First Article Inspections \ Annual Layouts * Construct / obtain gages and fixtures * Perform process capability studies * Perform gage R & R studies * Help ...

Mc Donald

Quality Technician 1st shift

Monroe, WI · On-site

$17 - $22.75/hr

Create Vertex Programs if needed * Perform First Article Inspections / Annual Layouts * Construct / obtain gages and fixtures * Perform process capability studies * Perform gage R & R studies * Help ...

Citizens Bank - WI

Teller

Mukwonago, WI · On-site

$15.75 - $19.75/hr

Processes Vertex transactions including but not limited to deposits, withdrawals, loan payments, check cashing, money orders, cashier's checks * Answers the phone and assists customers as needed

Citizens Bank - WI

Bank Teller

Muskego, WI · On-site

$15 - $18.75/hr

Processes Vertex transactions including but not limited to deposits, withdrawals, loan payments, check cashing, money orders, cashier's checks * Answers the phone and assists customers as needed

Epic Games (Portuguese)

WI · On-site

$200 - $250/hr

... Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. #J-18808-Ljbffr

Citizens Bank - WI

Teller

Waukesha, WI · On-site

$14.50 - $18.25/hr

Processes Vertex transactions including but not limited to deposits, withdrawals, loan payments, check cashing, money orders, cashier's checks * Answers the phone and assists customers as needed

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Showing results 41-60

All JobsVertex JobsVertex Jobs in Wisconsin

Vertex information

See Wisconsin salary details

$31.3K

$93.7K

$118.1K

How much do vertex jobs pay per year?

As of Sep 7, 2026, the average yearly pay for vertex in Wisconsin is $93,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $117,600.00 per year, depending on experience, location, and employer.

What is a Vertex?

In the context of technology jobs, 'Vertex' often refers to a role at Vertex Pharmaceuticals or jobs related to Google's Vertex AI platform. For example, Vertex AI is a Google Cloud product that enables machine learning engineers and data scientists to build, deploy, and scale machine learning models. Job roles related to Vertex AI typically involve tasks such as data preprocessing, model training, deployment, and monitoring. If referring to Vertex Pharmaceuticals, jobs may involve pharmaceutical research, clinical trials, or business operations. It's important to clarify the industry to better understand the specific job responsibilities.

What are the key skills and qualifications needed to thrive as a Vertex Pharmaceuticals employee?

To thrive at Vertex Pharmaceuticals, you need a strong background in your relevant scientific or technical field, such as biology, chemistry, or drug development, often supported by an advanced degree. Familiarity with laboratory techniques, data analysis software, and regulatory compliance systems is commonly expected. Excellent teamwork, problem-solving, and communication skills set top performers apart in cross-functional and innovative environments. These abilities are essential for driving scientific discovery and ensuring the successful development of impactful therapies.

How does a Vertex Pharmaceuticals team member typically collaborate with cross-functional departments during drug development projects?

At Vertex Pharmaceuticals, team members often work closely with colleagues from research, clinical, regulatory, and commercial departments to advance drug development projects. Collaboration is key—regular cross-functional meetings and project updates ensure alignment on goals and timelines. You may participate in data reviews, strategy sessions, and cross-team problem-solving activities. This environment fosters both scientific innovation and professional growth, as employees learn from diverse experts across the organization.

What is the difference between Vertex vs Data Analyst?

AspectVertexData Analyst
Required CredentialsAccounting or tax certifications, CPA, or industry-specific licensesBachelor's degree in statistics, data science, or related field; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentFinancial, tax, or consulting firms; office-based or remoteCorporate, finance, healthcare, or tech industries; office or remote
Employer & Industry UsageUsed by accounting and tax firms for tax software solutionsUsed across industries for data interpretation and reporting

Vertex is primarily a tax software company focusing on tax calculation and compliance, often requiring accounting credentials. Data Analysts interpret data to inform business decisions across various industries. While both roles involve data handling, Vertex specialists focus on tax-related data, whereas Data Analysts work with broader datasets for strategic insights.

What are popular job titles related to Vertex jobs in Wisconsin?

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

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

The top searched job categories for Vertex jobs in Wisconsin are:

Vertex jobs near you
Infographic showing various Vertex 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 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $93,740 per year, or $45.1 per hour.

ML Ops Engineer

Techvilla Solutions

Cudahy, WI • On-site

Full-time

Posted 18 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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