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Remote Machine Learning Engineer Jobs in New Mexico

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Statics Tutor

Albuquerque, NM · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Senior Engineer

Las Cruces, NM · On-site +1

$85K - $124K/yr

If you're an experienced engineer looking for meaningful work and a sustainable pace, this role ... Alternative schedules may be considered with department approval to include some remote work. This ...

With interesting opportunities in engineering, marketing, sales, supply chain, operations, HR ... Please note this role can be US Remote. Role Overview: Based in the US the Key Account Manager is ...

With interesting opportunities in engineering, marketing, sales, supply chain, operations, HR ... Please note this role can be US Remote. Role Overview: Based in the US the Key Account Manager is ...

$92K - $148K/yr

Learn: Have access to a wealth of learning resources, including our digital learning portal ... This role is not eligible for visa sponsorship (H1B, OPT/CPT, TN etc.). #LI-AY1 #LI-Remote The ...

BIM & Design Coordination Lead

Albuquerque, NM · On-site +1

$53.50 - $73.50/hr

Translate project programming, client requirements, and design intent into coordinated technical ... continuous learning and innovation. Visualization + Design Support * * Support development and ...

Showing results 41-60

Remote Machine Learning Engineer information

See New Mexico salary details

$30.5K

$124.8K

$187.5K

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

As of Aug 17, 2026, the average yearly pay for remote machine learning engineer in New Mexico is $124,787.00, 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 remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are the most commonly searched types of Machine Learning Engineer jobs in New Mexico?

The most popular types of Machine Learning Engineer jobs in New Mexico are:

What are popular job titles related to Remote Machine Learning Engineer jobs in New Mexico?

For Remote Machine Learning Engineer jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Engineer jobs in New Mexico look for?

The top searched job categories for Remote Machine Learning Engineer jobs in New Mexico are:

What cities in New Mexico are hiring for Remote Machine Learning Engineer jobs?

Cities in New Mexico with the most Remote Machine Learning Engineer job openings:

Infographic showing various Remote Machine Learning Engineer job openings in New Mexico as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $124,787 per year, or $60 per hour.

C# Software Engineer

Booz Allen Hamilton, Inc.

Albuquerque, NM • On-site, Remote

$86K - $198K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 7 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0240008
Location:
Albuquerque,NM,US
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C# Software Engineer
The Opportunity:
As a full-stack developer, you can resolve a problem with a complete end-to-end solution in a fast, agile environment. If you're looking for the chance to not just develop software, but to create a system that will make a difference, we need you on our team. We're looking for an experienced developer like you with the skills needed to develop software and systems from vision to production-ready.
This role is more than just coding. As a senior full-stack developer at Booz Allen, you'll use your passion to master new tools and techniques and identify needed system improvements. You'll help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies. You'll make sure the solution developed by the team considers the current architecture and operating environment, as well as future functionality and enhancements.
Work with us as we shape systems for the better.
Join us. The world can't wait.
You Have:
  • 5+ years of experience developing with C# software programming applications using Agile methods
  • Experience with Java, Python, C, C++, .NET, JavaScript, React, NodeJS, or Blazor
  • Experience writing source code for new applications, or generating and enhancing code samples for existing applications
  • Secret clearance
  • Bachelor's degree or 8+ years of experience in software engineering in lieu of a degree

Nice If You Have:
  • Experience acquiring client requirements and resolving workflow problems through automation optimization
  • Experience with real-time embedded systems
  • Ability to work with automated testing tools to perform testing and maintenance
  • Top Secret clearance
  • Master's degree

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914