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Machine Learning Engineer Jobs in Manhattan, KS (NOW HIRING)

Senior Staff Engineer

Manhattan, KS

$92K - $127K/yr

Provide engineering and consulting services for a broad array of projects and clients. This may include performing and/or leading field investigations, engineering analysis, calculations, and ...

New

Senior Staff Engineer

Manhattan, KS · On-site

$88K - $121K/yr

Provide engineering and consulting services for a broad array of projects and clients. This may include performing and/or leading field investigations, engineering analysis, calculations, and ...

New

Are you a Senior-Level Professional Engineer looking to be part of an organization that prioritizes your growth and well-being, empowering you to lead with innovation and shape the future of ...

Senior Engineer - Municipal Projects

Manhattan, KS · On-site

$92K - $127K/yr

We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results - for our people, our clients, and our company.

Senior Engineer - Municipal Projects

Manhattan, KS · On-site

$92K - $127K/yr

We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results - for our people, our clients, and our company.

Senior Engineer - Municipal Projects

Manhattan, KS · On-site

$92K - $127K/yr

We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results - for our people, our clients, and our company.

In this position, you will work in the Engineering Project Management Group and be responsible for various functions involved in providing engineering expertise and managing contracts for maintenance ...

Machine Learning Engineer information

See Manhattan, KS salary details

$27.9K

$114K

$171.3K

How much do machine learning engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning engineer in Manhattan, KS is $114,014.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,900.00 and $137,200.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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 strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What job categories do people searching Machine Learning Engineer jobs in Manhattan, KS look for? The top searched job categories for Machine Learning Engineer jobs in Manhattan, KS are:
What cities near Manhattan, KS are hiring for Machine Learning Engineer jobs? Cities near Manhattan, KS with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Manhattan, KS as of July 2026, with employment types broken down into 87% Full Time, 9% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $114,014 per year, or $54.8 per hour.
Senior Staff Engineer

Senior Staff Engineer

TERRACON

Manhattan, KS

$92K - $127K/yr

Full-time

Posted 4 days ago

New


Terracon rating

7.5

Company rating: 7.5 out of 10

Based on 117 frontline employees who took The Breakroom Quiz

37th of 58 rated business consultants


Job description

Provide engineering and consulting services for a broad array of projects and clients. This may include performing and/or leading field investigations, engineering analysis, calculations, and recommendations, design and development of plans and specifications, observation and inspection, and the writing, preparation, and review of related reports for the services provided. Review drawings and construction to assure compliance with plans and specifications. Prepare proposals and cost estimates, track and evaluate project progress, budgets, and recommend changes. Research and resolve design and construction problems. Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and non-technical clients and project teams. Services may be provided for existing or proposed projects in a variety of sectors, including for example public works, transportation, commercial, communications, energy, and industrial.
  • Bachelor's degree in Engineering.
  • Minimum 3-5 years' experience.
  • Master's degree in Engineering preferred.
  • A valid driver's license with acceptable violation history may be required.
  • Preferred Qualifications:
  • Engineering Intern (Engineer in Training) (Or ability to obtain)
  • Follow safety rules, guidelines and standards for all projects. Participate in pre-task planning. Report any safety issues or concerns to management.
  • Integrate quality leadership practices into daily regimen.
  • Provide consistent quality standards on proposal and project delivery.
  • Mid-level, experienced engineering professional responsible for managing and executing small to medium projects and sometimes more complex projects.
  • Develop the scope of work for routine projects.
  • Prepare cost estimates, specifications, and other project related documents
  • Analyze data, and perform engineering calculations and analysis
  • Coordinate and supervise field investigations, laboratory testing, and evaluation of respective data, development of recommendations.
  • Develop plans, schedules, conducts, and/or coordinates detailed phases of assigned project work.
  • Work closely with senior-level project manager to gain project management and engineering experience.
  • Make design recommendations, adaptations and modifications.
  • Prepare work scope, proposals and reports and plans investigations for approval by senior level professionals for routine projects.
  • Serve as a technical adviser to junior-level project team members.
  • Supervise field staff including graduate/field engineers, engineering technicians, exploration teams, laboratory staff and other support personnel.
  • Interact with client and project team in developing scope of services and communicating project progress.
  • Works under the supervision of a Professional Engineer and a Terracon Authorized Project Reviewer.

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