ZipRecruiter

Log In

1

Machine Learning Engineer Jobs in Grand Junction, CO

LOCHNER

Senior Airport Design Engineer

Grand Junction, CO · On-site

$120 - $160/hr

Engage in continuous learning within a thriving aviation environment.Leadership Opportunities ... machinery, occasional need to walk on uneven ground, exposure to dust, gas or fumes, exposure to ...

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Grand Junction, CO

Machine Learning Engineer information

See Grand Junction, CO salary details

$30.7K

$125.5K

$188.5K

How much do machine learning engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning engineer in Grand Junction, CO is $125,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $151,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

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.

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 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.

More about Machine Learning Engineer jobs

What cities near Grand Junction, CO are hiring for Machine Learning Engineer jobs?

Cities near Grand Junction, CO with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Grand Junction, CO as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,461 per year, or $60.3 per hour.

Senior Airport Design Engineer

LOCHNER

Grand Junction, CO • On-site

$120 - $160/hr

Other

Medical, Dental, Life

Posted 4 days ago

Job description

Are you ready to take your career to new heights in the dynamic world of airport design and development? Lochner is seeking passionate and driven professionals to join our expanding aviation team. This is your opportunity to work on high-impact national and international airport projects, lead multidisciplinary teams, and grow into a leadership role within a respected and forward-thinking engineering firm.Whether you're an experienced airport engineer or an emerging leader in civil aviation, this role offers unmatched potential for technical advancement, project management, and strategic leadership. At Lochner, your career journey is supported by a culture of innovation, collaboration, and continuous growth. Let’s build the future of aviation together—this opportunity was designed with you in mind.As a Design Engineer, you can experience the following:National and International Aviation Exposure: Work on cutting-edge projects across national and global airports.Career Development Opportunities: Engage in continuous learning within a thriving aviation environment.Leadership Opportunities: Contribute to and lead initiatives in airport design practice.Your Impact:Design of airport engineering projects including runways, taxiways, aprons, airfield lighting, navigational aids, etc.Preparation of engineering design reports, construction plans, and contract documents / technical specifications.Experience in design of general civil engineering projects including site design, sanitary wastewater, water and hydraulic evaluation a plus.Who you are:B.S. Degree in Civil EngineeringProfessional Engineer (PE designation) preferred.8+ years of experience in the civil engineering field; aviation related experience and knowledgeable of FAA criteria a plusAbility to coordinate multiple project tasksSelf-motivated and able to handle a fast-paced positionGoal and deadline orientatedExcellent interpersonal skills, verbal and written communication skillsProficiency in AutoCAD, Civil 3D, and Microsoft OfficeJoining Lochner means gaining access to a comprehensive suite of benefits designed to support your health and financial well-being throughout your career.Lochner provides an extensive total rewards package that includes:Competitive Premiums for Medical, Dental, and VisionPaid Time Off and Flexible Holiday ProgramCompany Paid Disability (includes paid Maternity Leave), and Life InsuranceHealth Savings Accounts (HSA) with Employer ContributionFlexible Spending Accounts (FSA) for Medical Expenses and/or Dependent CarePaid Family LeaveRetirement Plan with Employer MatchFlexible Work Schedules (Hybrid or Remote, when possible)Wellness Program for Physical and Mental HealthLochner Cares Non-Profit 501c3Education and Training AssistanceEmployee Assistance ProgramEmployee DiscountsPaid Time Off for Charitable Acts of ServiceWhat we offer – Learn moreWork EnvironmentThe work environment characteristics described are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly exposed to moving mechanical parts and outside weather conditions. The noise level in the work environment is usually loud.Physical RequirementsThe physical requirements must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Intermittent sitting, walking, standing, bending, squatting, climbing, kneeling, twisting, stoop, crawl, and lifting. The employee must frequently lift and/or move light equipment up to 20 pounds. Must be alert to equipment in the field, occasional need to work near hazardous equipment and machinery, occasional need to walk on uneven ground, exposure to dust, gas or fumes, exposure to noise, extremes in temperature or humidity, and potential work at heights.Equal EmployerLochner is proudly committed to recruiting and retaining a diverse and inclusive workforce. Lochner provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.All positions at Lochner require an applicant who has accepted an employment offer to undergo pre-employment screening. Background checks include SSN/SIN validation, motor vehicle verification, education verification, employment verification, a criminal check, search against global sanctions and government watch lists, and drug test. All employment offers are contingent upon successful results of the pre-employment screening.California Privacy PolicyPrivacy Policy #J-18808-Ljbffr

Apply