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Contract Machine Learning Engineer Jobs in Albuquerque, NM

... learning best practices. * Drive continuous improvement by applying methodologies, capturing ... Ensure compliance with all applicable regulations, codes, and standards as they relate to contracts ...

... learning best practices. * Drive continuous improvement by applying methodologies, capturing ... Ensure compliance with all applicable regulations, codes, and standards as they relate to contracts ...

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 ...

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 ...

Showing results 41-60

Contract Machine Learning Engineer information

See Albuquerque, NM salary details

$30.5K

$124.8K

$187.5K

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

As of Aug 12, 2026, the average yearly pay for contract 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 contract machine learning engineer?

A Contract Machine Learning Engineer is a professional who builds and deploys machine learning models on a temporary or project-based basis. They typically work with companies seeking specialized expertise in data science, model development, or AI integration without committing to a full-time hire. Responsibilities may include data preprocessing, model training, algorithm optimization, and deployment. Contract roles allow for flexibility and are often remote, making them ideal for businesses with short-term AI needs or startups looking to scale their machine learning capabilities quickly.

What are the typical day-to-day responsibilities of a contract machine learning engineer?

As a Contract Machine Learning Engineer, your daily tasks usually involve gathering and preprocessing data, building and fine-tuning machine learning models, and collaborating with software engineers and product managers to integrate your models into production systems. You may also meet with clients or internal teams to gather requirements and provide technical insights, as well as document and present your findings to stakeholders. Work is typically project-based and may require a high degree of independence, flexibility, and adaptability. This dynamic environment often exposes you to a variety of industries and technical challenges, making each project unique and providing valuable experience for professional growth.

What are the key skills and qualifications needed to thrive in the contract machine learning engineer position, and why are they important?

To thrive as a Contract Machine Learning Engineer, you need a strong background in machine learning algorithms, data preprocessing, statistical analysis, and proficiency in programming languages such as Python or R, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms (AWS, Google Cloud, Azure) or certifications in these areas are common requirements. Excellent problem-solving, communication, and time management skills are vital, especially when working with cross-functional teams and managing multiple projects remotely. These skills ensure effective delivery of high-quality, scalable machine learning solutions within tight project timelines and diverse client environments.

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 Contract Machine Learning Engineer jobs in Albuquerque, NM? For Contract Machine Learning Engineer jobs in Albuquerque, NM, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Engineer jobs in Albuquerque, NM look for? The top searched job categories for Contract Machine Learning Engineer jobs in Albuquerque, NM are:

Senior Network Engineer Manager (Network Operations Team Lead)

Peraton

Albuquerque, NM • On-site

$100K - $138K/yr

Full-time

Re-posted 11 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

49th of 223 rated it services


Job description

Responsibilities

Peraton is looking for an experienced Senior Network Engineer Manager (Network Operations Team Lead) to join our team of qualified and diverse individuals. 

Peraton supports the National Nuclear Security Administration's (NNSA) Office of Secure Transportation (OST), which is responsible for the safe and secure transportation of nuclear weapons, components, and special nuclear materials throughout the United States. Operating under strict security requirements, OST relies on highly secure communications, networking, and command and control systems to support its mission. The Network Engineer Senior serves as the Network Operations Team Lead, providing technical leadership and oversight for the network infrastructure that enables these critical operations.

Location: Onsite in Albuquerque, NM (primary location), with travel to field locations as required.

Day to Day Roles and Responsibilities:

  • Serve as the senior technical lead and team lead for all network operations supporting the NNSA OST IT program
  • Design, implement, and maintain classified and unclassified network infrastructure at OST facilities and field locations
  • Ensure all network systems comply with DOE cybersecurity orders, NIST SP 800-53 controls, FISMA requirements, and the Risk Management Framework (RMF)
  • Lead network incident response, troubleshooting, and root cause analysis for network outages or security events
  • Develop and maintain network architecture documentation, configuration baselines, and as-built diagrams
  • Coordinate with NNSA's Office of the Chief Information Officer (OCIO) on enterprise IT standards and network policy compliance
  • Support Authority to Operate (ATO) processes by providing network security documentation and evidence packages
  • Manage vendor relationships and coordinate hardware/software procurement and lifecycle management
  • Lead network capacity planning and technology refresh initiatives
  • Provide technical guidance and mentorship to junior network engineers and technicians
  • Prepare and present network status reports, metrics, and briefings to program management and government stakeholders
Qualifications

Basic Qualifications:

  • High School diploma and 12 years of experience, may have supervisory or management experience
  • Must be a U.S. Citizen
  • Must possess an active DOE Q Clearance (equivalent to a Top Secret clearance) and be eligible for access to Sensitive Compartmented Information (SCI) and Special Access Programs (SAP).
  • May be required to travel to OST field locations
  • Must be able to work in a secure facility environment and comply with all OST security protocols
  • Minimum of 3 years of recent experience as a Senior Network Engineer or Network Engineering Manager within the last 5 years.
  • Experience designing, implementing, and supporting enterprise network infrastructure in classified or unclassified federal environments.
  • Experience supporting mission critical environments within DoD, DOE, the Intelligence Community, or similar organizations.
  • Experience implementing network automation, AI enabled operations, and enterprise monitoring solutions using Ansible, Terraform, Cisco DNA Center, SolarWinds, PRTG, Nagios, or equivalent.
  • Experience leading network modernization, technology refresh, or infrastructure transformation initiatives.
  • Demonstrated leadership experience managing network engineering teams, including workload prioritization, mentoring, and performance management.
  • Strong knowledge of enterprise routing, switching, firewalls, network security, and high availability architectures.

Certification Requirement:

  • ITIL v4 Foundation (or higher) certification required

Preferred Qualifications:

  • Bachelor's degree with 12 years of experience or Master's degree with 10 years of experience.
  • Experience supporting enterprise environments with 500+ network nodes across geographically dispersed locations.
  • Experience supporting federal IT contracts valued at $10M or greater.
  • Experience leveraging AI and machine learning for network anomaly detection, predictive maintenance, and automated remediation.
  • CompTIA Security+ CE (SY0-701).
  • CISSP.
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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Pay

Benefits

Hours and flexibility

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017