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Remote Machine Learning Jobs in Arizona (NOW HIRING)

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

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Senior Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a ... machine learning models that improve cost, quality, and patient outcomes. Your role · Design ...

... remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A ... Advanced understanding and practical experience in machine learning and natural language processing ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

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Remote Machine Learning information

See Arizona salary details

$23.8K

$39.7K

$82K

How much do remote machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for remote machine learning in Arizona is $39,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in Arizona? The most popular types of Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Remote Machine Learning jobs? Cities in Arizona with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Arizona as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 44% Full Time, 52% Part Time, 1% Temporary, and 1% Contract. Highlights an 73% Physical, and 27% Remote job distribution, with an average salary of $39,683 per year, or $19.1 per hour.
AI/ML Software Developer

AI/ML Software Developer

Maximus

Tucson, AZ • Remote

Full-time

Medical, Life, Retirement, PTO

Posted 2 days ago


Maximus rating

6.9

Company rating: 6.9 out of 10

Based on 287 frontline employees who took The Breakroom Quiz

229th of 424 rated business services


Job description

Description & Requirements

Maximus is a trusted federal partner supporting mission‑critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus’ role as a reliable prime for high‑impact government missions. Joining Maximus means contributing to meaningful work in fast‑paced environments alongside professionals committed to service, accountability, and results.

This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed.

This position is remote and requires a Secret security clearance.

Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS195, T3, Band 6

Job-Specific Essential Duties and Responsibilities:

- Designs, develops, trains, evaluates, and integrates AI/ML models and algorithms supporting Government operational systems

- Prepares and structures data for machine learning pipelines, feature engineering, and model lifecycle management

- Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts

- Integrates AI/ML capabilities into software applications and system architectures using APIs and microservices

- Supports DevSecOps activities including CI/CD pipelines, automated testing, and secure deployment

- Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies

- Supports system accreditation, documentation, testing, and evaluation activities

- Collaborates with Government and contractor teams across development, integration, and readiness environments

- Participates in Agile program increment (PI) planning and activities requiring periodic travels

Job-Specific Minimum Requirements:

- Active Secret security clearance required

- Bachelor’s degree in related field required
- A Master’s degree may substitute for 2 years of experience
- 5 years of experience in the functional area

- 3 years of demonstrated experience designing, developing, training, and evaluating machine learning models using industry-standard frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

- 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++).

- 3 years demonstrated experience of machine learning concepts, including supervised and unsupervised learning, model evaluation techniques, and feature engineering.

- Demonstrated experience in preparing, conducting, and documenting various systems tests and results to verify system operability and compliance with project standards and requirements.

- 3 years of experience testing web-based applications.

- 3 years of experience participating in software development programs or projects.

- Demonstrated experience with relational databases, RESTful API development and communication, and system integrations.

- 5 years of experience with Jenkins and GitLab.

- Experience structuring data so it can be integrated into machine learning technologies or AI capabilities.

Preferred Skills and Qualifications:

- Experience using Agile Test-Driven Development

- Experience integrating into DoD DevSecOps environments

- 5 years of experience with CI/CD software development

- Experience supporting RMF accreditation and security assessment activities

- Experience with model monitoring, explainability, and Responsible AI practices

- Experience integrating AI/ML services into operational dashboards or decision support platforms

#techjobs #clearance #veteranspage # USCYBERCOM

Minimum Requirements

TCS195, T3, Band 6

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com .

Minimum Salary

$

110,000.00

Maximum Salary

$

145,000.00


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