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Senior Machine Learning Engineer Jobs in Nebraska

Sr P&C Data Scientist

Omaha, NE

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role applies statistical, machine learning, and data analysis techniques to insurance data to ... Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R)

... machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google ... Our Senior Consultants are expected to contribute to the firm's growth and development in a variety ...

Sr P&C Data Scientist

Omaha, NE · On-site

$92 - $138/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The role applies statistical, machine learning, and data analysis techniques to insurance data to ... Advanced proficiency in analytical programming languages and tools (SQL, Python, R). * Experience ...

Senior DevOps Engineer

Omaha, NE · On-site

$124K - $159K/yr

Dark Wolf Solutions is looking for a Senior DevOps Engineer to engineer and maintain Infrastructure ... machine learning, and mission support and engineering services to the Intelligence Community ...

AI Scientist

Bellevue, NE · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Summary The Senior Staff AI Scientist will work in teams addressing statistical, machine learning ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ...

AI Scientist

Bellevue, NE · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Summary The Senior Staff AI Scientist will work in teams addressing statistical, machine learning ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ...

AI Modeling Specialist (Senior)

Omaha, NE · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Amentum is seeking an AI Modeling Specialist (Senior) to support Combatant Command Operations in ... Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical ...

Data Analyst - JETARS

NE · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role requires strong technical expertise in data science methodologies, machine learning model ... Excellent written and verbal communication skills, including the ability to brief senior leadership.

Associate Machine Design Engineer

Omaha, NE

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position emphasizes hands-on learning, technical growth, and exposure to the full equipment ... senior engineers * Create and modify 3D CAD models and detailed drawings to support equipment ...

Associate Machine Design Engineer

Valley, NE

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position emphasizes hands-on learning, technical growth, and exposure to the full equipment ... senior engineers * Create and modify 3D CAD models and detailed drawings to support equipment ...

Data Science Manager

Omaha, NE · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... and senior leadership. * Manages project scope, expectations, and timelines. * Collaborates with Data Engineering, IT, and business partners to operationalize machine learning and AI solutions.

NE

$193K/yr

Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Network Engineer, AI Infrastructure Repair Responsibilities: * Define and drive the long-term ...

Senior Data Engineer

Omaha, NE · On-site +1

$160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Senior Data Engineer at Buildertrend, you\'ll lead the migration of our data platform onto a ... analytics and machine learning-ready datasets. * Experience writing data tests, setting up ...

Showing results 41-60

Senior Machine Learning Engineer information

See Nebraska salary details

$56.7K

$120.7K

$175K

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

As of Aug 18, 2026, the average yearly pay for senior machine learning engineer in Nebraska is $120,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $136,800.00 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 are the most commonly searched types of Machine Learning Engineer jobs in Nebraska?

The most popular types of Machine Learning Engineer jobs in Nebraska are:

What are popular job titles related to Senior Machine Learning Engineer jobs in Nebraska?

For Senior Machine Learning Engineer jobs in Nebraska, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Engineer jobs in Nebraska look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Nebraska are:

What cities in Nebraska are hiring for Senior Machine Learning Engineer jobs?

Cities in Nebraska with the most Senior Machine Learning Engineer job openings:

Infographic showing various Senior Machine Learning Engineer job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $120,666 per year, or $58 per hour.

Other

Medical, Dental, Vision, Retirement, PTO

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


Job description

Company

Farm Family

Farm Family specializes in farm and ranch protection with a wide range of products including flexible farm packages, business owner policies, commercial package, workers compensation, commercial auto and select personal auto coverage. Farm Family is a leader in serving the Northeast and Mid-Atlantic markets and is pursuing growth across the U.S. The Farm Family entities are wholly-owned subsidiaries of Clearbrook Group Holdings Inc.


Job Description

The Senior P&C Data Scientist owns the development and improvement of analytical models and insights that inform pricing, underwriting, and portfolio management decisions. This role applies statistical, machine learning, and data analysis techniques to insurance data to improve risk segmentation and rate adequacy, supporting profitable growth across products and locations.

Operating with a high level of independence and accountability, the role partners closely with pricing actuaries, underwriting, claims, distribution, product, and IT professionals to translate business questions into analytical solutions, implement models into pricing workflows, and monitor performance over time. The Senior P&C Data Scientist also mentors lessexperienced team members and contributes to the continued maturation of the pricing analytics function.


Key Responsibilities

Pricing & Insurance Analytics

  • Develop, refine, and maintain analytical models supporting P&C pricing, including frequency, severity, pure premium, risk segmentation, persistency, and portfolio optimization models
  • Independently own pricing models translating analytical results into actionable recommendations
  • Apply insurance domain knowledge (e.g., coverage, exposure, underwriting rules, regulatory considerations) in model design, development, interpretation, and business use

Modeling & Data Science Execution

  • Own the endtoend analytical lifecycle for complex initiatives: data exploration, feature engineering, model building, validation, implementation, monitoring, and enhancement
  • Select and apply statistical and machine learning techniques appropriate for pricing use cases, balancing predictive performance, stability, interpretability, and regulatory considerations
  • Design and execute validation frameworks to assess model performance, stability, and business impact
  • Drive the implementation of models and analytical outputs into pricing and reporting workflows

Data & Technical Skills

  • Work independently with large, structured and semistructured datasets using SQL and analytical programming languages (e.g., Python or R)
  • Establish and uphold high standards for data quality, reproducibility, documentation, and version control
  • Follow model development best practices and model risk governance standards

Business Partnership & Communication

  • Serve as a trusted analytics partner to actuarial, underwriting, distribution, and product stakeholders
  • Translate technical analyses into clear, actionable insights using appropriate visualizations and written summaries
  • Influence decisionmaking by framing tradeoffs, risks, and opportunities using datadriven narratives
  • Respond to feedback and iterate on analyses to better support business decisions
  • Present analytical findings to senior management and crossfunctional leadership

Coaching & Continuous Improvement

  • Mentor and provide technical guidance to P&C Data Scientist I and II team members through code reviews, modeling discussions, and project support
  • Contribute to the development of analytical standards, best practices, and reusable modeling frameworks
  • Stay current on P&C industry trends, pricing methodologies, and analytical best practices within P&C insurance
  • Proactively identify opportunities to improve models, processes, data usage, and business outcomes within the pricing analytics function

Required Qualifications

  • Bachelor's degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative field
  • Five years of relevant experience in data science, analytics, pricing, actuarial, or related quantitative roles. A master's degree may be considered in lieu of one to two years of experience
  • Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R)
  • Experience working with large, complex datasets and applying statistical or machine learning methods to realworld business problems
  • Strong analytical judgment, problemsolving ability, and communication skills
  • Proven ability to work independently and own complex analytical models

Preferred Qualifications

  • Significant experience in Property & Casualty insurance, particularly pricing, ratemaking, underwriting analytics, or actuarial support
  • Familiarity with several predictive modeling techniques (e.g., GLMs, treebased models, gradient boosting)
  • Familiarity with regulatory and governance considerations related to pricing and underwriting
  • Experience implementing and monitoring models in production or business workflows
  • Experience mentoring and reviewing the work of junior coworkers

Job Level

  • The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. In addition to base salary, this position is eligible for an annual bonus based on company and individual performance as well as a generous benefits package.

Albany & Chicago Pay Range $102,000 - $152,000

Los Angeles & New York City Pay Range $112,000 - $160,000


PLEASE NOTE:

Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.


If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400.


Benefits and Compensation

We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.


Core Values

At Clearbrook our Core Values are Integrity, Collaboration, Pursuit of Excellence and Forward Thinking. These values reflect who we are today and who we apsire to be - guiding how we work, how we lead and how we succeed.