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Senior Machine Learning Engineer Jobs in Kearney, NE

RXinsider LTD.

Sr. Engineering Specialist

Kearney, NE · On-site

$90 - $120/hr

... learning, growth and development. Supported by benefit programs, we empower the physical, mental ... Provide engineering assistance to keep production equipment operating at an optimum efficiency.

New

Workiva

Spring 2027 Intern - Marketing (MBA)

Kearney, NE · On-site

$35/hr

Design creative analytics and visualizations to provide deeper performance insights for senior ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

Workiva

Spring 2027 Intern - Marketing (MBA)

Kearney, NE · On-site +1

$35/hr

Design creative analytics and visualizations to provide deeper performance insights for senior ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

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Senior Machine Learning Engineer information

See Kearney, NE salary details

$56K

$119.2K

$172.9K

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

As of Sep 2, 2026, the average yearly pay for senior machine learning engineer in Kearney, NE is $119,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $135,200.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Kearney, NE are hiring for Senior Machine Learning Engineer jobs?

Cities near Kearney, NE with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Kearney, NE as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,219 per year, or $57.3 per hour.

Sr. Engineering Specialist

West Pharmaceutical Services

Kearney, NE

Full-time

Posted 9 days ago

West Pharmaceutical Services rating

8.5

Company rating: 8.5 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

13th of 122 rated packaging manufacturers

Job description

At West, we're a dedicated team that is connected by a purpose to improve patient lives that has been at the center of our Company for more than a century. Our story began when Herman O. West solved the problem of supplying penicillin in mass quantities to the US Government during World War 2. Through our work to deliver thousands of life-saving and life-enhancing injectable medicines to millions of patients daily, West's indelible mark on the healthcare industry has just begun. A name started our story. How will yours help write our future?  

There's no better place to join an inclusive community of professionals with opportunities for lifelong learning, growth and development. Supported by benefit programs, we empower the physical, mental, emotional and financial health of our team members and their families.  

We believe in giving back to help those in need in the communities where we live and work. And are equally committed to creating a healthier environment and planet through our sustainability efforts.  

Job Summary

In this fully onsite position you will be responsible for supporting execution of new projects and continuous improvement activities for manufacturing and support equipment.  Support manufacturing through the implementation of projects to continually improve existing facilities, equipment or processes. Execute on implementation of long-term corrective actions to meet or exceed internal and external standards and regulations. Provide high-level troubleshooting assistance to maintenance personnel for complex equipment issues.

Essential Duties and Responsibilities
  • Under guidance and leadership, work with internal and external teams to:
    • Scope project requirements in support of new equipment and process optimization development projects.
    • Collaborate on creation of user and equipment requirements.
    • Support development, execution and documentation of project assignments in compliance with committed timelines and project goals, and per established governance policies and procedures.
    • Execute facility Strategic Plan related to equipment replacements or upgrades
  • Provide engineering assistance to keep production equipment operating at an optimum efficiency.
  • Evaluate existing equipment and facility systems, looking for methods to improve performance, efficiency, reliability or accuracy and present recommendations for same.
  • Analyze problem areas with existing equipment and prepare design changes or recommend component replacement as required to resolve problems.
  • Assist in mechanical, pneumatic, hydraulic, and electrical design modifications of equipment.
  • Assist with preparation and execution of all necessary validations and/or engineering evaluations as needed for manufacturing equipment.
  • Support equipment improvements for safety and reliability, cost reductions/savings, scrap reductions, quality improvements etc. through the implementation of LEAN concepts.
  • Create/modify work instructions, technical documents, engineering studies, and non-conformance reports as needed to support production.
  • Maintain clear communication paths with stakeholders, providing routine project review updates as needed.
  • Impacts quality of own work and the work of others on the team; works within guidelines and policies.
  • Performs other duties as assigned based on business needs.
Education
  • Bachelor's degree in Engineering or related schooling and work experience may be substituted for Engineering degree required    
Work Experience
  • Minimum 5 years Progressive maintenance and leadership experience may be substituted for educational requirements. required and
  • Experience with FDA regulations in relation to Facilities, Maintenance and Equipment repair required and
  • Experience in managing projects required and
  • Experience with automation systems required
Preferred Knowledge, Skills and Abilities
  • Medical device development and manufacturing background 
  • Experience in plastic injection and or medical device manufacturing 
  • Experienced in qualification/validation writing and execution
  • Knowledge of manufacturing processes, workflows, and industrial techniques
  • Background in PLC's and related systems - AB, Siemens, Mitsubishi
  • Understanding of industrial utility systems - electrical, water, pneumatics, etc
  • Experienced in equipment level diagnostics and repairs
  • Must have effective problem solving and interpersonal skills
  • Must have knowledge of sound engineering principles and practice
  • Must possess the ability to plan work and supervise others, as needed
License and Certifications
  • Certification in one or more of the key building trades. preferred
Travel Requirements
10%: Up to 26 business days per year
Physical Requirements
Light-Exerting up to 20lbs/9kg of force frequently, and/or negligible amount of force frequently constantly to move objects.

West embraces diversity and equality of opportunity. We foster an environment where all individuals are safe, treated fairly, valued and respected. We do not discriminate on the basis of race, religion, color, national origin, gender, sex, gender identity, sexual orientation, age, marital status, veteran status, disability status or other applicable legally protected characteristics. Where permitted by law, employment with West Pharmaceutical Services, Inc. or any of its subsidiary or affiliate companies, is contingent upon the satisfactory completion of post-offer background screening. 

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