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Junior Machine Learning Engineer Jobs in Racine, WI

Techvilla Solutions

ML Ops Engineer

Glendale, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Milwaukee, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Cudahy, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Greenfield, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Franklin, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

New Berlin, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Butler, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Whitefish Bay, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Milwaukee, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Deloitte

Lead Forward Deployed Engineer - AWS

Milwaukee, WI · On-site

$101K - $133K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Deloitte

Senior Forward Deployed Engineer- AWS

Milwaukee, WI · On-site

$103K - $141K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Deloitte

Forward Deployed Engineer- AWS

Milwaukee, WI

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Pwc

NGA AI Engineer Manager

Milwaukee, WI · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Hydrite

Junior IT Developer

Brookfield, WI

$63K - $82K/yr

JOIN A TOP WORKPLACE - JUNIOR IT DEVELOPER The Junior IT Application Developer is a curious ... An openness to learning and applying AI coding tools is essential to success in this role. Primary ...

Posted today

Milwaukee Tool

Controls Engineer

Menomonee Falls, WI · On-site

$83K - $108K/yr

... systems, machine learning, and AI-enabled manufacturing. This role partners with engineering ... manufacturing, quality, IT, analytics, suppliers, and global sites to turn emerging technologies ...

Milwaukee Tool

Controls Engineer

Menomonee Falls, WI

$83K - $108K/yr

... systems, machine learning, and AI-enabled manufacturing. This role partners with engineering ... manufacturing, quality, IT, analytics, suppliers, and global sites to turn emerging technologies ...

Milwaukee Tool

Firmware Engineer II

Brookfield, WI · On-site

... machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered ... and coaching junior Engineers. * Work with component suppliers and manufacturers for proper ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Racine, WI

Junior Machine Learning Engineer information

See Racine, WI salary details

$31.4K

$67.3K

$102.7K

How much do junior machine learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for junior machine learning engineer in Racine, WI is $67,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $75,000.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
More about Junior Machine Learning Engineer jobs

What cities near Racine, WI are hiring for Junior Machine Learning Engineer jobs?

Cities near Racine, WI with the most Junior Machine Learning Engineer job openings:

Junior Machine Learning Engineer jobs near you

ML Ops Engineer

Techvilla Solutions

Glendale, WI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

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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