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Machine Learning Engineer Jobs in Albuquerque, NM

Booz Allen Hamilton

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

Booz Allen Hamilton

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site +1

$111K - $133K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

TekSynap

Junior Cybersecurity Engineer

Albuquerque, NM · On-site

... assisting with machine learning models and security dashboards. * Linux Security & STIG ... Engineering Principles: Demonstrated experience implementing cybersecurity engineering principles ...

Varsity Tutors

Data Science Tutor

Albuquerque, NM · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

TekSynap

Junior Cybersecurity Engineer

Albuquerque, NM · On-site

... assisting with machine learning models and security dashboards. * Linux Security & STIG ... Engineering Principles: Demonstrated experience implementing cybersecurity engineering principles ...

TekSynap

Junior Cybersecurity Engineer

Albuquerque, NM · On-site

... assisting with machine learning models and security dashboards. * Linux Security & STIG ... Engineering Principles: Demonstrated experience implementing cybersecurity engineering principles ...

DataAnnotation

Programmer - AI Trainer

Albuquerque, NM · On-site +1

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Raytheon

Software Engineer II

Albuquerque, NM

$94K - $129K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

Raytheon

Software Engineer II

Albuquerque, NM

$94K - $129K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Albuquerque, NM

Machine Learning Engineer information

See Albuquerque, NM salary details

$30.5K

$124.8K

$187.5K

How much do machine learning engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for machine learning engineer in Albuquerque, NM is $124,803.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $150,200.00 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 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 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 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 are the most commonly searched types of Machine Learning Engineer jobs in Albuquerque, NM?

The most popular types of Machine Learning Engineer jobs in Albuquerque, NM are:

What are popular job titles related to Machine Learning Engineer jobs in Albuquerque, NM?

For Machine Learning Engineer jobs in Albuquerque, NM, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Albuquerque, NM look for?

The top searched job categories for Machine Learning Engineer jobs in Albuquerque, NM are:

What cities near Albuquerque, NM are hiring for Machine Learning Engineer jobs?

Cities near Albuquerque, NM with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Albuquerque, NM as of August 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $124,803 per year, or $60 per hour.

Software Engineer - AI Trainer

DataAnnotation

Albuquerque, NM • On-site, Remote

$50 - $100/hr

Contractor

Posted 8 days ago

Job description

About the job:

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for an existing Coder (this is an opportunity to work with us as an independent contractor) to help advance AI development. As a DataAnnotation’s coder, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development.

Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform.

Advantages of contracting with us:

  • You'll be able to choose which projects you want to work on and when
  • You work on your own schedule, on your own computer, from the comfort of your own home
  • Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects

Responsibilities:

  • Give AI chatbots coding challenges and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance

Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Experience with algorithms, data structures, and debugging workflows
  • A current, in progress, or completed Bachelor's is preferred but not required

Note:

Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.

#coder

Working at DataAnnotation

Perks for workers

  • Work From Anywhere

  • Set Your Own Hours

  • Competitive Pay

  • Learn Valuable AI Skills

  • No Meetings. No Commute.

  • Work on Your Schedule

  • Make a Real-World Impact

What to expect from working at DataAnnotation

From DataAnnotation

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