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Remote Machine Learning Jobs in Arizona (NOW HIRING)

PNC Bank

Fraud Model Analyst

Phoenix, AZ · On-site +1

$45K - $103.50K/yr

... remote work in select geographic locations, subject to approval by PNC. If approved, work must be ... machine learning to predict business outcomes. * Assists with analytical experiments in a ...

USAA

AI/ML Engineer II

Phoenix, AZ · On-site +1

$113.70K - $136.50K/yr

Work with cross-functional team to contribute to machine learning projects throughout the machine learning lifecycle to include analysis, solution design, data pipeline engineering, testing ...

USAA

Data Scientist I

Phoenix, AZ · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Develops scalable, automated solutions using machine learning, simulation, and optimization to ...

Paychex

Data Solutions Engineer

Tempe, AZ · On-site +1

$91.53K - $156.50K/yr

Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

Insight

You will have the flexibility to work fully remote from anywhere across Arizona. Insight at a ... At least 5 years specifically focused on Data Engineering, Analytics, or Machine Learning. * Cloud ...

JDA

Principal Solution Advisor, Execution

Scottsdale, AZ · Remote

$150K - $190K/yr

US-Remote with the ability to travel up to 50% What You'll Do: * Serve as a trusted advisor to ... Knowledge of AI, machine learning, and advanced analytics technologies as they apply to supply ...

Arizona Department of Administration

$18/hr

REMOTE OPTIONS, PHOENIX Categories: Information Technology/Services, Internship DEPARTMENT OF ... Machine Learning, Data Science, or related technologies. • Data management, data analytics, ETL ...

Deloitte

Databricks Engineer

Tempe, AZ · On-site +1

Experience with Databricks workspace administration, machine learning operations (MLOps), or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

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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 31, 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.

More about Remote Machine Learning jobs
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 job categories do people searching Remote Machine Learning jobs in Arizona look for? The top searched job categories for Remote 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:
Remote Machine Learning jobs near you
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 Engineer 1

AI-ML Engineer 1

Universal Avionics Systems Corporation

Tucson, AZ • On-site, Remote

$98.40K - $118.20K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

Summary
We are seeking a motivated and detail-oriented AI/ML Engineer I to join our team. This entry-level position plays a critical role in supporting the design, development, and optimization of scalable AI and machine learning solutions. The ideal candidate has a strong foundation in computer science and data science concepts and is eager to grow within a collaborative and fast-paced environment.
Essential Duties and Responsibilities include the following.  Other duties may be assigned.

  • Design and develop scalable AI solutions using machine learning models and tools 
  • Ensure the scalability, reliability, and performance of AI systems through development and testing 
  • Execute performance testing to assess the efficiency of AI systems when handling large datasets and complex algorithms 
  • Conduct research and testing to build machine learning algorithms and predictive models 
  • Utilize big data tools and cloud platforms to create data pipelines, prototypes, and training datasets 
  • Train, evaluate, and tune machine learning models using frameworks such as TensorFlow, Spark, or scikit-learn 
  • Integrate, test, and monitor AI solutions in production environments 
  • Collaborate with cross-functional teams to support project goals and solution implementation

 Competency

To perform the job successfully, an individual should demonstrate the following competencies.

Technical Skills

  • Programming Proficiency: Solid understanding of Python is essential; familiarity with Java, R, or C++ is beneficial.
  • Machine Learning: Knowledge of basic algorithms (linear regression, decision trees, k-NN, etc.) and supervised/unsupervised learning techniques.
  • AI Tools & Libraries: Familiarity with ML frameworks like scikit-learn, TensorFlow, Keras, or PyTorch.
  • Data Handling: Proficient in data wrangling, preprocessing, and working with structured and unstructured datasets using tools like Pandas and NumPy.
  • Big Data Tools: Exposure to tools like Spark or Hadoop is a plus.
  • Cloud Computing: Awareness of cloud platforms (AWS, Azure, GCP) and services like S3, EC2, or SageMaker.

Analytical & Problem-Solving

  • Ability to break down complex problems into solvable components.
  • Experience in basic model evaluation (precision, recall, F1 score).
  • Comfort working with statistical concepts and metrics.

Software Development

  • Understanding of software engineering best practices: version control (Git), testing, and debugging.
  • Exposure to containerization tools (Docker, Kubernetes) is a bonus.

What We Offer:

  • Benefits eligibility starts on your first day as a full-time employee at Universal Avionics.
  • Medical insurance (multiple plan options, including low-deductible PPO)
  • Preventive care covered at 100%
  • Affordable copays for doctor visits, urgent care, and prescriptions
  • Teladoc virtual care access
  • Vision coverage through VSP (includes exams, frames, and lenses)
  • Dental insurance (covers preventive, basic, and major services)
  • 401(k) with immediate safe harbor match (100% match on up to 4% of pay after 60 days)
  • 9/80 work schedule option – every other Friday off
  • Vacation, sick time, and 14 paid holidays (including a week in December)
  • Tuition reimbursement
  • Gym reimbursement
  • Wellness programs:
    • One Pass Select (discounted access to gyms, fitness apps, and more)
    • Travel assistance and employee discounts
  • Employee Assistance Program (EAP) and emotional wellness support:
    • Up to 3 free counseling visits per issue/year through Reliance Matrix
    • Up to 6 free counseling sessions per issue/year through Health Advocate
    • Includes mental health, financial, legal, work-life, medical navigation, and life coaching support
  • And more!

Why You’ll Love Working Here:

  • Universal Avionics offers the best of both worlds: the close-knit, agile culture of a mid-sized company, with the resources and global impact of our parent company, Elbit Systems.
  • Our team is driven by purpose, innovation, and a shared passion for aviation safety.
  • Here's what makes our work environment thrive:
  • A collaborative, supportive team of skilled professionals and mentors
  • Groundbreaking projects that shape the future of avionics technology
  • A company culture that promotes innovation, career growth, and continuous learning
  • Meaningful work that impacts air travel safety around the world
  • A strong work-life balance, including a 9/80 schedule option

 To learn more about Universal Avionics, visit: www.UniversalAvionics.com

 Universal Avionics’ products and technology are subject to U.S. export laws and regulations, including but not limited to the International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR). As part of our compliance process, we inquire about work authorization and citizenship status to ensure alignment with these regulations.

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