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Machine Learning Engineer Opt Jobs in Eudora, KS

LRS

Sr. Machine Learning Engineer

Kansas City, MO · On-site

$130K - $145K/yr

LRS Consulting is seeking a Senior Machine Learning Engineer to design, build, and scale production ... opt out. Please contact AI.Questions@lrs.com with any questions.

Varsity Tutors

Machine Learning Tutor

Kansas City, MO · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Overland Park, KS · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deloitte

AI Solutions Architect

Kansas City, MO · On-site

$61.50 - $81/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Deloitte

Senior AI Engineer - SFL Scientific

Kansas City, MO · On-site

$102K - $140K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Garmin

Senior Software Engineer

Olathe, KS

$118K - $156K/yr

Designs, develops, and maintains self-service Machine Learning Ops tooling, platforms, and ... Collaborates with Data Scientists, Software Engineers, and Infrastructure teams to reduce ...

Deloitte

AI and Data Science Engineer II

Kansas City, MO · On-site

$111K - $134K/yr

Translating business goals into machine learning use cases and model design approaches ... Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer ...

Deloitte

AI Data Engineer - Manager

Kansas City, MO

$111K - $134K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

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All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Eudora, KS

Machine Learning Engineer Opt information

See Eudora, KS salary details

$28.8K

$117.7K

$176.9K

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

As of Jun 10, 2026, the average yearly pay for machine learning engineer opt in Eudora, KS is $117,747.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $141,700.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.
Machine Learning Engineer Opt jobs near you

Sr. Machine Learning Engineer

LRS

Kansas City, MO • On-site

$130K - $145K/yr

Other

Posted 25 days ago

Job description

Job Description LRS Consulting is seeking a Senior Machine Learning Engineer to design, build, and scale production-grade machine learning and Generative AI systems. This role focuses on developing advanced ML and LLM-powered applications that leverage structured and unstructured data to drive business impact. The ideal candidate combines strong foundations in traditional machine learning with hands-on experience building and deploying LLM solutions and prompt-engineered systems in production environments.

Responsibilities Design and develop ML and LLM-powered systems using modern GenAI architectures (RAG, prompt engineering, embeddings, vector databases). Transform data science prototypes into production-ready solutions using appropriate ML and GenAI architectures. Build optimized data pipelines to feed both traditional ML models and LLM-based systems.

Implement and monitor model and data quality checks to ensure accuracy and consistency in production. Manage the full model lifecycle, including retraining, performance monitoring, and continuous improvement. Partner with Product, Engineering, and Business stakeholders to translate requirements into scalable AI/ML solutions, contributing to system architecture and technical design.

Create and maintain documentation for ML and GenAI systems, including prompt libraries, evaluation frameworks, and architectural decisions. Establish and promote best practices across MLOps, LLMOps, and AI system governance. Required Qualifications 5+ years of experience as a Machine Learning Engineer, including work with structured and unstructured data sources, ETL processes, and data quality management.

Proficiency in SQL, Databricks, AWS services, Python, and Spark. Experience with ML frameworks such as XGBoost, Scikit-learn, TensorFlow, Keras, or PyTorch. Hands-on experience building and deploying LLM-powered applications, including prompt engineering, evaluation frameworks, RAG, and embedding models/vector databases.

Familiarity with MLOps and/or LLMOps tooling and CI/CD workflows. Strong analytical and problem-solving skills with the ability to communicate technical concepts and business impact to non-technical stakeholders. Candidates must have permanent authorization to work in the United States without sponsorship.

Third party candidates will not be considered. The base range for this salaried position is $130,000 - $145,000, depending on experience. Our pay ranges are determined by role, level, and location.

The range displayed reflects the minimum and maximum target for new hires of this position across all U.S. locations. Individual compensation is determined by work location and additional factors, including job-related skills, experience, and relevant education or training

LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship, status or protected veteran status. In some cases, LRS Consulting uses generative artificial intelligence ("AI") in support of our hiring processes.

LRS takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees.

If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact AI.Questions@lrs.com with any questions.

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