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Machine Learning Engineer Jobs in Bullhead City, AZ

Engineer is the journeyman level for engineering positions responsible for implementation of ... The noise level in the work environment is usually moderate, but in Machine rooms and Plant ...

Engineer is the journeyman level for engineering positions responsible for implementation of projects requiring intensive and diversified engineering principles and practices. Essential Functions and ...

Engineer is the journeyman level for engineering positions responsible for implementation of projects requiring intensive and diversified engineering principles and practices. Essential Functions and ...

Senior Mine Engineer

Golden Valley, AZ · On-site

$93K - $128K/yr

The Senior Mine Engineer provides technical leadership and engineering expertise to support safe, efficient, and profitable mining operations. This role is responsible for developing and optimizing ...

Machine Learning Engineer information

See Bullhead City, AZ salary details

$28.6K

$116.8K

$175.6K

How much do machine learning engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for machine learning engineer in Bullhead City, AZ is $116,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $140,600.00 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 cities near Bullhead City, AZ are hiring for Machine Learning Engineer jobs? Cities near Bullhead City, AZ with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Bullhead City, AZ as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $116,840 per year, or $56.2 per hour.

Full-time

Posted 23 days ago


Job description

About the Organization
It is the intent of the Avi Resort and Casino, a wholly owned subsidiary of the Fort Mojave Indian Tribe, to abide by applicable Federal Equal Employment Opportunity laws consistent with Indian Preference Laws and in conformity with the Fort Mojave Tribal Employment Rights and Ordinances.
All applicants are considered on the basis of their ability to do the job without regard to individual race, religion, color, sex, age, national origin, political affiliation or physical, mental or emotional disabilities or veteran status. All statements contained herein are true to the best of my knowledge. I understand that misrepresentation, omission of facts or falsification of the application will render the application void, or if hired, may result in immediate termination of employment.
Description
Summary:
Ensure the hotel maintains the guest appeal of the property. Engineer is the journeyman level for engineering positions responsible for implementation of projects requiring intensive and diversified engineering principles and practices.
Essential Functions and Responsibilities:
  • Monitor operating equipment and systems (boilers, chillers, pumps, compressors, water heaters, cooling towers, etc.)
  • Perform engineering rounds and check equipment for proper operating functionality
  • Perform minor repairs and adjustments
  • Identify and resolve maintenance deficiencies
  • Maintain and store tools and equipment
  • Perform preventive and corrective maintenance duties on buildings
  • Provide outstanding customer service in a timely manner to both guests and fellow team members
  • Performs other duties as assigned

Position Requirements
Qualifications
  • High school diploma or equivalent
  • Minimum of two (2) years of experience in the field
  • Basic knowledge of all facets of the hotel engineering field including but not limited to HVAC, Kitchen Maintenance, Electrical, Plumbing, Carpentry, Life Safety Systems, Elevators, and Electronics.
  • Ability to work any and all hours/days and be able to rotate shifts if required.
  • Ability to work in pressure situations to meet deadlines.
  • Ability to think quickly and make good decisions using his knowledge and experience.
  • Organized and able to complete projects in a timely manner.
  • Ability to handle conflict situations with professionalism.
  • Must be at least 21 years of age
  • The primary language spoken and written is English: Must have the ability to read, analyze, and interpret technical journals, financial reports, and legal documents
  • Obtain and maintain all work cards as required by the company
  • Verify right to work in the United States

Work Cards
  • None

Physical Requirements
  • Occasionally sit at a desk and operate a personal computer.
  • This position requires considerable physical activity (90% of the shift) on a continuous basis throughout the shift.
  • Regularly walk, stand and stoop.
  • Occasionally work in unfavorable conditions that can be hot, cold, noisy and/or wet.
  • Occasionally work in awkward positions requiring crouching, kneeling, stooping and reaching overhead for extended periods of time.
  • Occasionally lift, carry, push, pull or otherwise move objects weighing up to 50 lbs. alone or more with assistance.
  • Use tools or equipment requiring a high degree of dexterity.

Potential Work Environment Conditions
The work environment is characterized as an indoor/outdoor maintenance of facilities and hotel property. The noise level in the work environment is usually moderate, but in Machine rooms and Plant requires hearing protection. The immediate work environment is smoke free; however a smoking environment does exist in the building.
Disclaimer
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Other duties, responsibilities, and activities may change or be assigned at any time with or without notice. Must be able to perform the essential functions of the position with or without reasonable accommodation.
Number of Openings
1
Position Status
Full Time
Exempt/Non-Exempt
Non-Exempt
Open Date
7/8/2026
EOE Statement
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
This position is currently accepting applications.