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Machine Learning Scientist Jobs in Arizona (NOW HIRING)

Relativity

Senior Applied Scientist

Phoenix, AZ · On-site +1

Applied Science Team The Applied Science team operates at the core of Relativity's AI development ... Develop machine learning and generative AI models that ship as customer-facing product features

Republic Services

Data Scientist III

Phoenix, AZ · On-site

Translates and champions our Machine Learning and advanced analytics capabilities for non-technical audiences. * Participates in end-to-end data science project lifecycle - data mining and ...

Republic Services

Data Scientist III

Phoenix, AZ · On-site

Translates and champions our Machine Learning and advanced analytics capabilities for non-technical audiences. * Participates in end-to-end data science project lifecycle - data mining and ...

Republic Services

Data Scientist III

Phoenix, AZ

Translates and champions our Machine Learning and advanced analytics capabilities for non-technical audiences. * Participates in end-to-end data science project lifecycle - data mining and ...

Sprouts Farmers Market

Data Scientist

Phoenix, AZ · Remote

The Data Scientist will join a team of other data scientists and analysts in helping develop the ... Development, Machine Learning & Maintenance (30%) * Train and Test Supervised and Unsupervised ...

Sprouts Farmers Market

Data Scientist

Phoenix, AZ · Remote

The Data Scientist will join a team of other data scientists and analysts in helping develop the ... Development, Machine Learning & Maintenance (30%) * Train and Test Supervised and Unsupervised ...

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Machine Learning Scientist information

See Arizona salary details

$76.2K

$138.3K

$193.7K

How much do machine learning scientist jobs pay per year?

As of Jun 18, 2026, the average yearly pay for machine learning scientist in Arizona is $138,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,903.00 and $153,884.00 per year, depending on experience, location, and employer.

What is a Machine Learning Scientist job?

A Machine Learning Scientist researches, develops, and applies machine learning models to solve complex problems. They work on designing algorithms, improving model performance, and analyzing large datasets to extract valuable insights. Their role often involves experimenting with new techniques, optimizing existing models, and collaborating with engineers and data scientists to deploy solutions. Machine Learning Scientists typically have expertise in statistics, mathematics, and programming languages like Python. They work in industries such as healthcare, finance, and technology to drive innovation using artificial intelligence.

What are the typical daily tasks and collaboration opportunities for a Machine Learning Scientist?

A typical day for a Machine Learning Scientist involves collecting and analyzing large datasets, designing and training machine learning models, and evaluating model performance to ensure accuracy and reliability. You'll often collaborate with data engineers, software developers, and domain experts to define project goals, prepare data, and integrate solutions into production systems. Regular team meetings, code reviews, and brainstorming sessions are common, fostering an environment of shared learning and problem-solving. This collaborative structure not only enhances project outcomes but also offers valuable opportunities for continuous professional growth and skill development.

What are the key skills and qualifications needed to thrive in the Machine Learning Scientist position, and why are they important?

To thrive as a Machine Learning Scientist, you need strong skills in mathematics, statistics, programming (typically in Python or R), and a graduate degree in computer science, data science, or a related field. Expertise in machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), proficiency with data processing tools, and experience with cloud platforms (like AWS or GCP) are commonly required; certifications in these can be advantageous. Critical thinking, problem-solving, and effective communication are important soft skills for collaborating with cross-functional teams and conveying complex concepts. These abilities enable Machine Learning Scientists to build effective models, deliver actionable insights, and drive innovation within organizations.

What are the most commonly searched types of Machine Learning Scientist jobs in Arizona? The most popular types of Machine Learning Scientist jobs in Arizona are:
What are popular job titles related to Machine Learning Scientist jobs in Arizona? For Machine Learning Scientist jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Machine Learning Scientist jobs in Arizona look for? The top searched job categories for Machine Learning Scientist jobs in Arizona are:
What cities in Arizona are hiring for Machine Learning Scientist jobs? Cities in Arizona with the most Machine Learning Scientist job openings:
Machine Learning Scientist jobs near you
Infographic showing various Machine Learning Scientist job openings in Arizona as of June 2026, with employment types broken down into 1% Locum Tenens, 87% Full Time, and 12% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $138,270 per year, or $66.5 per hour.
Machine Learning Engineer with Security Clearance

Machine Learning Engineer with Security Clearance

Prime Solutions Group, Inc

Goodyear, AZ

$110K/yr

Other

Posted 4 days ago

Job description

Turn machine learning into real-world mission capability.
PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power mission-critical systems. This role focuses on taking models from concept to production—developing pipelines, integrating models into software systems, and ensuring performance, scalability, and reliability in real-world environments. You’ll work at the intersection of machine learning, software engineering, and DevSecOps, collaborating with cross-functional teams to deliver secure, production-ready AI solutions supporting national security missions. What You’ll Do
- Design, build, and maintain ML pipelines for data preparation, training, evaluation, and deployment - Develop and optimize ML models and applications using Python and frameworks like PyTorch or TensorFlow - Integrate models into production systems (APIs, batch pipelines, real-time services) - Implement model validation, evaluation metrics, and performance monitoring - Improve model accuracy, scalability, and efficiency through tuning and data strategy improvements - Collaborate with data engineers and domain experts to prepare and validate datasets - Partner with DevSecOps/MLOps teams to deploy ML solutions in secure environments - Troubleshoot model and pipeline issues; perform root cause analysis and optimization - Contribute to technical documentation, test plans, and operational runbooks - Participate in design reviews, architecture discussions, and Agile development processes - Mentor junior engineers and promote engineering best practices Requirements
- U.S. Citizenship - Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain) - Bachelor’s degree in Computer Science, Engineering, Data Science, or related field - 4+ years of experience in: - Machine Learning Engineering - Applied AI/ML development - Production ML systems - Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow) - Experience developing, training, and deploying ML models in real-world applications - Solid understanding of the ML lifecycle (data > training > validation > deployment > monitoring) - Experience building maintainable, production-quality software - Familiarity with Docker and cloud environments (AWS, Azure, or GCP) - Experience working in Agile and CI/CD environments - Strong problem-solving, communication, and collaboration skills Preferred Qualifications
- Master’s degree in a related field - Experience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR) - Experience transitioning models from research to production environments - Familiarity with experiment tracking, model versioning, and reproducibility practices - Experience with GPU-based ML workflows and cloud ML platforms - Background in defense, intelligence, or other regulated environments Why Join PSG?
At PSG, you’re not just taking a job—you’re building technology that matters.
- Competitive compensation & benefits - 9/80 flexible work schedule - Professional development & tuition assistance - Small, agile team with high ownership and visibility - Work on mission-critical systems supporting national security - Opportunities to grow across AI/ML, software engineering, and platform development Bring your machine learning expertise to PSG and help deliver the next generation of secure, intelligent, mission-driven systems. Salary Description
Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.

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