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Senior Machine Learning Engineer Jobs in Bellevue, NE

Partner with Application Development, Infrastructure Engineering, and Systems Operations teams to ... Experience evaluating or utilizing AIOps platforms, machine learning-driven monitoring solutions ...

Data Scientist

Omaha, NE · On-site

$104.65 - $189.18/hr

Develop automated approaches leveraging artificial intelligence/machine learning (AI/ML) and ... Collaborate with OIE planners, OIE analysts, and Data Engineers to ensure effective data ...

This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands. You will help shape ...

... machine learning to develop analytical products, dashboards, and decision-support outputs for senior leaders and assessment stakeholders. Key Responsibilities * Build and manage structured data ...

Experience with machine learning, deep learning, or NLP * Experience with cloud platforms and MLOps ... to expand into senior engineering, architecture, or AI leadership roles as the organization ...

DevOps Engineer

Omaha, NE · On-site

$50.50 - $69/hr

... machine learning, and mission support and engineering services to the Intelligence Community ... national security, and Fortune 500 customers. Founded in 2009, the company is headquartered in ...

Showing results 41-60

Senior Machine Learning Engineer information

See Bellevue, NE salary details

$56.4K

$119.9K

$173.8K

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

As of Aug 22, 2026, the average yearly pay for senior machine learning engineer in Bellevue, NE is $119,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $135,900.00 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 job categories do people searching Senior Machine Learning Engineer jobs in Bellevue, NE look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Bellevue, NE are:

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

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

$98K - $114K/yr

Other

Posted 28 days ago


Job description

Description
Position Overview
Spiral Solutions & Technologies, Inc. (SS&T) is seeking a Front-End Developer to support the United States Strategic Command (USSTRATCOM) Joint Exercises, Training, and Assessment Directorate (J7).
The Front-End Developer provides front-end development and visualization support for USSTRATCOM assessment data, dashboards, and decision-support tools. The selected candidate will develop user interfaces with modern web technologies, integrate data-driven applications, and support analytics products that enable senior leader decision-making across campaign, operations, and Joint Force assessments.
Security Clearance Requirements
This position supports classified programs and requires access to classified systems and material. All contractor personnel must be United States citizens and possess a Top-Secret clearance with eligibility for Sensitive Compartmented Information, Nuclear Command and Control/Extremely Sensitive Information, and Special Access Program access prior to commencing work.
Requirements
Key Responsibilities
• Create tools and dashboards to support decision-making across competition, planning in crisis, combat, risk, exercise, and other-directed assessments.
• Develop graphic user interfaces and connectors that enable seamless interaction between data repositories and visualization platforms.
• Build and support interactive, web-based data visualizations and dashboards using modern front-end libraries and frameworks.
• Collaborate in iterative cycles to ensure analytics deliverables align with evolving requirements and priorities.
• Gather input from stakeholders to refine tools, reports, and workflows for improved usability and relevance.
• Generate clear, tailored reports and disseminate results across multiple organizational levels to inform strategic decisions.
• Support structured data systems that ensure accuracy, maintainability, scalability, and secure access.
• Assist with integration of external data sources and connectors, including support for database-driven applications and visualization platforms.
• Contribute to data and analytics efforts that use emerging analytical techniques, visualization methods, and artificial intelligence or machine learning-enabled processes.
• Participate in boards, bureaus, centers, cells, and working groups and support continuous improvement of assessment tools, processes, and products.
Required Qualifications
• Experience developing user interfaces with modern web technologies, specifically the React framework.
• Experience with MAVEN Smart Systems.
• Experience creating interactive, web-based data visualizations and dashboards using modern libraries.
• Experience with database-driven applications, version control, and normalization.
• Experience with automatization of tasks using languages like Python or JavaScript.
• Familiarity with querying external databases via Application Programming Interfaces (APIs) and Really Simple Syndication (RSS) feeds.
• Experience working in Agile environments and collaborating with cross-functional teams.
• A bachelor's degree or higher in data science, computer science, data analytics, business analytics, management information systems, statistics, applied mathematics, and/or applied physics or equivalent is required.
• A minimum of 7 years of combined front-end development and visualization experience
• U.S. citizenship required.
Preferred Qualifications
• Direct experience supporting USSTRATCOM, Combatant Command, or Department of Defense analytics, assessment, or visualization efforts.
• Experience integrating front-end applications with databases, APIs, RSS feeds, and analytics platforms in classified or mission-focused environments.
• Familiarity with artificial intelligence, machine learning, and statistical modeling support to decision-support tools and visual analytics products.