Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and ... Implement MLOps pipelines supporting continuous integration and deployment * Build scalable APIs ...
Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and ... Implement MLOps pipelines supporting continuous integration and deployment * Build scalable APIs ...
As a Machine Learning Engineer, you will work with complex datasets, design and optimize models, and help bring intelligent solutions into production. You will collaborate with software engineers and ...
As a Machine Learning Engineer, you will work with complex datasets, design and optimize models, and help bring intelligent solutions into production. You will collaborate with software engineers and ...
$95K - $131K/yr
Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including ... Experience in MLOps or DevOps practices, including building and operating production ML systems ...
$95K - $131K/yr
Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including ... Experience in MLOps or DevOps practices, including building and operating production ML systems ...
Machine Learning Engineer
California, MO · On-site
$130 - $190/hr
PhD in STEM +0 years of relevant experience or equivalent related work experience * 5+ years of experience in data engineering, machine learning engineering, or related roles * Data Pipeline ...
New
Machine Learning Engineer
California, MO · On-site
$130 - $190/hr
PhD in STEM +0 years of relevant experience or equivalent related work experience * 5+ years of experience in data engineering, machine learning engineering, or related roles * Data Pipeline ...
New
Machine Learning Engineer 727
Saint Louis, MO · On-site
Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and ... Implement MLOps pipelines supporting continuous integration and deployment * Build scalable APIs ...
Machine Learning Engineer 727
Saint Louis, MO · On-site
Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and ... Implement MLOps pipelines supporting continuous integration and deployment * Build scalable APIs ...
Machine Learning Engineer
California, MO · On-site
$110 - $170/hr
As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... Contribute to the deployment of MLOps processes and techniques * Assist in the development of ...
New
Machine Learning Engineer
California, MO · On-site
$110 - $170/hr
As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... Contribute to the deployment of MLOps processes and techniques * Assist in the development of ...
New
Staff Machine Learning Engineer
California, MO · On-site
$150 - $190/hr
Responsibilities As a Machine Learning Engineer, your key responsibilities would include: * Data Exploration and Preprocessing: Work with large and complex healthcare and life-sciences datasets ...
New
Staff Machine Learning Engineer
California, MO · On-site
$150 - $190/hr
Responsibilities As a Machine Learning Engineer, your key responsibilities would include: * Data Exploration and Preprocessing: Work with large and complex healthcare and life-sciences datasets ...
New
(USA) Senior, Machine Learning Engineer
Cassville, MO · On-site
$110K - $220K/yr
Walmart is seeking a Senior Machine Learning Engineer to design, develop, and deliver scalable ML ... Apply MLOps practices including CI/CD, model versioning, and automated retraining for sustained ...
New
(USA) Senior, Machine Learning Engineer
Cassville, MO · On-site
$110K - $220K/yr
Walmart is seeking a Senior Machine Learning Engineer to design, develop, and deliver scalable ML ... Apply MLOps practices including CI/CD, model versioning, and automated retraining for sustained ...
New
(USA) Senior, Machine Learning Engineer
Noel, MO · On-site
$110K - $220K/yr
Walmart is seeking a Senior Machine Learning Engineer to design, develop, and deliver scalable ML ... Apply MLOps practices including CI/CD, model versioning, and automated retraining for sustained ...
New
(USA) Senior, Machine Learning Engineer
Noel, MO · On-site
$110K - $220K/yr
Walmart is seeking a Senior Machine Learning Engineer to design, develop, and deliver scalable ML ... Apply MLOps practices including CI/CD, model versioning, and automated retraining for sustained ...
New
(USA) Senior, Machine Learning Engineer
Anderson, MO · On-site
$110K - $220K/yr
Walmart is seeking a Senior Machine Learning Engineer to design, develop, and deliver scalable ML ... Apply MLOps practices including CI/CD, model versioning, and automated retraining for sustained ...
New
(USA) Senior, Machine Learning Engineer
Anderson, MO · On-site
$110K - $220K/yr
Walmart is seeking a Senior Machine Learning Engineer to design, develop, and deliver scalable ML ... Apply MLOps practices including CI/CD, model versioning, and automated retraining for sustained ...
New
Principal Machine Learning Engineer
California, MO · On-site
$205 - $230/hr
Job Summary The Machine Learning Engineer will tackle challenging problems and create scalable machine learning systems and platforms that make an impact on millions of users. This role will work ...
New
Principal Machine Learning Engineer
California, MO · On-site
$205 - $230/hr
Job Summary The Machine Learning Engineer will tackle challenging problems and create scalable machine learning systems and platforms that make an impact on millions of users. This role will work ...
New
Machine Learning Engineer
Saint Louis, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Saint Louis, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Columbia, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Columbia, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Springfield, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Springfield, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Jefferson City, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Jefferson City, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Independence, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Independence, MO · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Mlops Machine Learning Engineer information
What does an MLOps machine learning engineer do?
An MLOps Machine Learning Engineer bridges the gap between data science and IT operations by developing, deploying, and maintaining machine learning models in production environments. They are responsible for automating workflows, managing model versioning, monitoring performance, and ensuring scalability and reliability of ML systems. Their work enables organizations to deploy machine learning solutions efficiently and consistently, making it easier to update and manage models as business needs evolve.
How does an MLOps machine learning engineer typically collaborate with data scientists and software engineers during the deployment of machine learning models?
An MLOps Machine Learning Engineer acts as a bridge between data scientists and software engineers, ensuring machine learning models transition smoothly from development to production. They often work closely with data scientists to understand model requirements, data pipelines, and performance metrics, while also collaborating with software engineers to integrate models into scalable systems. Regular communication, shared documentation, and joint troubleshooting sessions are common, as the role requires aligning model performance with system reliability and maintainability. This collaborative environment helps ensure that models are robust, scalable, and impactful in real-world applications.
What is the difference between Mlops Machine Learning Engineer vs Data Scientist?
| Aspect | Mlops Machine Learning Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps tools | Bachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning |
| Work Environment | Focus on deploying, maintaining, and scaling ML models in production environments | Focus on data analysis, model development, and insights generation |
| Employer & Industry Usage | Tech companies, startups, enterprises implementing ML solutions | Research institutions, analytics firms, tech companies for data insights |
While both roles involve machine learning, Mlops Machine Learning Engineers specialize in deploying and maintaining models in production, ensuring scalability and reliability. Data Scientists primarily focus on developing models and analyzing data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.
What are the key skills and qualifications needed to thrive as an MLOps machine learning engineer?
To thrive as an MLOps Machine Learning Engineer, you need a strong background in machine learning concepts, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and certifications such as Google Professional Machine Learning Engineer are highly beneficial. Strong problem-solving abilities, collaboration, and communication skills help you work effectively across data science and engineering teams. These skills are essential for reliably deploying, monitoring, and maintaining scalable machine learning solutions in production environments.
What are popular job titles related to Mlops Machine Learning Engineer jobs in Missouri? For Mlops Machine Learning Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Mlops Machine Learning Engineer jobs in Missouri look for? The top searched job categories for Mlops Machine Learning Engineer jobs in Missouri are:
- Junior Machine Learning
- Freelance Google Machine Learning Engineer
- Remote Tesla Machine Learning Engineer
- Gpu Engineer Salary
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What cities in Missouri are hiring for Mlops Machine Learning Engineer jobs? Cities in Missouri with the most Mlops Machine Learning Engineer job openings:
Full-time
Posted 19 days ago
Job description
Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and optimize production AI/ML capabilities supporting mission-critical geospatial and intelligence systems. You will work at the intersection of software engineering, cloud architecture, and data science to build scalable machine learning pipelines capable of operating within secure government environments.
This is a hands-on engineering position focused on moving models from research into reliable production systems.
Responsibilities:
- Da
- Design, train, validate, and deploy machine learning models
- Build production inference pipelines
- Develop feature engineering workflows
- Optimize model performance and resource utilization
- Implement MLOps pipelines supporting continuous integration and deployment
- Build scalable APIs exposing AI capabilities
- Monitor model drift and operational performance
- Collaborate with Data Scientists and Software Engineers
- Deploy AI workloads into AWS cloud environments
- Support computer vision, NLP, and geospatial AI initiatives
- Collaborate with architects, data scientists, and mission stakeholders to gather, document, and refine customer requirements, including data mapping and integration needs
- Assist in implementing integration solutions in collaboration with development team members
- Facilitate communication between stakeholders to ensure timely and effective requirements execution
- Ensure activities align with established processes, standards, and mission objectives
- Contribute to documentation of processes, procedures, integration patterns, and lessons learned
Key Technologies
- Â A
- Python
- PyTorch
- TensorFlow
- Scikit-learn
- Hugging Face
- MLflow
- Docker/Podman
- Kubernetes/EKS
- ECS
- Lambda
- SageMaker
- GitLab CI/CD
- Linux
- PostgreSQL/PostGIS, Aurora, Oracle (w/Spatial)
- Redis, Elasticache
- GDAL, Rasterio, OGR
Required Qualifications
- Active TS/SCI clearance (eligible for CI Poly)
- 1-3(Junior), 3-7(Journeyman), 8-11 (Senior), >12 (Principal) years of experience in software development, system integration, or technical support roles
- Experience working directly with customers or stakeholders in a technical or mission environment
- Strong communication and coordination skills across technical and non-technical teams
- Experience gathering and documenting requirements
- Ability to manage multiple tasks and priorities in a dynamic environment
- Familiarity with Agile development practices
- Experience using GitLab or similar tools for collaboration and tracking
Desired Qualifications
- Experience deploying production AI systems
- Experience with computer vision
- Experience with large language models
- Geospatial AI experience
- AWS AI services
- Experience processing satellite imagery
- Familiarity secure data movement environments
- Experience working with enterprise service processes such as Service+
- Development or scripting experience (Python, JavaScript, or similar)
- Geospatial/GIS development a plus
- Experience with data mapping or integration workflows (using JSON or other object notation)
- Familiarity with operational dashboards and metrics reporting
- Experience supporting customer requirement implementation and/or system integration efforts