Machine Learning Engineer Jobs in Arizona
Machine Learning Engineer jobs in Arizona are in strong demand, concentrated in aerospace and defense, semiconductor manufacturing, financial technology, and healthcare analytics, with openings at every level from entry-level data scientist to principal ML engineer. Phoenix and Scottsdale anchor most of the hiring, with Tempe's university corridor adding a steady pipeline, and well-established employers like Intel, Raytheon, and Banner Health consistently seeking machine learning talent. The most sought-after specialties include computer vision, natural language processing, and MLOps. Find a role that fits below and apply directly.
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Showing 5 of 257+ Machine Learning Engineer jobs
INTRODUCTION
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future!
This Jobot Job is hosted by: Craig Rosecrans
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
SALARY
Salary: $150,000 - $250,000 per year
About us
We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role.
WHY JOIN US?
- Competitive Base Salary
- Company paid health plan for employees
- Flexible Hours
- Very generous PTO
- Dental and Vision, FSA, HSA
- Small team, autonomy
- Many more great perks!
JOB DETAILS
Responsibilities:
- Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation).
- Ensure the robustness, scalability, and enterprise-level security of solutions.
- Collaborate with the data science team to transform prototypes into new products, services, and features.
- Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation.
- Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
- Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data.
- Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices.
- Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools.
QUALIFICATIONS
- Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus.
- Minimum of 6 years of experience as a Machine Learning Engineer or similar role.
- Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting.
- Proven experience in designing and implementing machine learning solutions at scale on AWS.
- Solid experience in software development with a focus on quality, performance, and scalability.
- Proven ability to design and implement robust data pipelines.
- Strong experience with data modeling, data access, and data storage techniques.
- Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills, attention to detail, and ability to think creatively.
- Ability to work independently and as part of a team in a fast-paced, dynamic environment.
- Strong passion for learning and adapting to new technologies.
- AWS Certified Machine Learning or similar certification will be a plus.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy.
INTRODUCTION
Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future!
This Jobot Job is hosted by: Craig Rosecrans
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
SALARY
Salary: $150,000 - $250,000 per year
About us
We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role.
WHY JOIN US?
- Competitive Base Salary
- Company paid health plan for employees
- Flexible Hours
- Very generous PTO
- Dental and Vision, FSA, HSA
- Small team, autonomy
- Many more great perks!
JOB DETAILS
Responsibilities:
- Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation).
- Ensure the robustness, scalability, and enterprise-level security of solutions.
- Collaborate with the data science team to transform prototypes into new products, services, and features.
- Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation.
- Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
- Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data.
- Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices.
- Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools.
QUALIFICATIONS
- Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus.
- Minimum of 6 years of experience as a Machine Learning Engineer or similar role.
- Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting.
- Proven experience in designing and implementing machine learning solutions at scale on AWS.
- Solid experience in software development with a focus on quality, performance, and scalability.
- Proven ability to design and implement robust data pipelines.
- Strong experience with data modeling, data access, and data storage techniques.
- Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills, attention to detail, and ability to think creatively.
- Ability to work independently and as part of a team in a fast-paced, dynamic environment.
- Strong passion for learning and adapting to new technologies.
- AWS Certified Machine Learning or similar certification will be a plus.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy.
See All 257+ Machine Learning Engineer Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
Find JobsMachine Learning Engineer Jobs by City in Arizona
Where Arizona roles are concentrated, by current openings.
Machine Learning Engineer Job Market in Arizona
A snapshot from current Arizona openings, updated as new roles post.
Who's Hiring
- ASM17
- Matlen Silver15
- Speechify14
- CVS Health11
- Tata Consultancy Services (TCS)11
Top Industries Hiring
- Technology & Software78
- Electronics & Hardware35
- Consulting & Professional Services23
- Staffing & Recruiting20
- Healthcare & Medical Services13
What Arizona Employers Look For
The qualifications that appear most often in machine learning engineer jobs across Arizona.
- Bachelor's or master's degree in computer science, mathematics, or a related quantitative field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience building, training, and deploying production machine learning models
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for ML workloads
- Strong understanding of statistical modeling, data pipelines, and feature engineering
- Experience with version control, CI/CD workflows, and MLOps tools like MLflow or Kubeflow
Machine Learning Engineer Jobs in Arizona: Frequently Asked Questions
How do you become a machine learning engineer in Arizona?
Machine learning engineering in Arizona requires no state-issued license, so the path runs through education and demonstrated technical skill. Most Arizona employers expect at least a bachelor's degree in computer science, statistics, or a related field, with a master's degree preferred for senior roles. Arizona State University and the University of Arizona both offer graduate programs directly relevant to the field. Building a portfolio of deployed models, contributing to open-source projects, and earning cloud certifications strengthen a candidacy considerably.
How much do machine learning engineers make in Arizona?
Machine learning engineers in Arizona earn a median of about $129,690 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $81,740 for the lowest 10% to over $178,500 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire machine learning engineers in Arizona?
Employers hiring machine learning engineers in Arizona right now include ASM, Matlen Silver, and Speechify, based on current listings on Migrate Mate as of June 2026. Arizona's concentration of aerospace, semiconductor, and healthcare organizations means demand is distributed across a broader range of industries than in purely tech-focused markets.
Which Arizona cities have the most machine learning engineer jobs?
Phoenix, Chandler, and Tempe have the most machine learning engineer openings in Arizona. Phoenix's scale as the state's economic center drives the largest share of postings, with its aerospace corridors, financial services firms, and major health systems generating consistent demand, while Scottsdale and Tempe add openings from technology companies, fintech startups, and research-adjacent organizations tied to Arizona State University.
Are there remote machine learning engineer jobs in Arizona?
Yes, and more than most fields. About 28% of machine learning engineer openings tied to Arizona are remote or hybrid as of June 2026, reflecting the fact that most ML work involves writing code and iterating on models rather than being physically on-site. Roles focused on research, data pipeline development, and model experimentation tend to offer the most location flexibility, while positions requiring hardware integration or secure government clearance are more likely to be on-site.
How can I get hired as a machine learning engineer in Arizona with little or no experience?
The most realistic entry path is an internship or new-graduate program with a large Arizona employer. Intel's university relations program and Raytheon's early-career engineering rotations are two well-known options in the state. Candidates without direct ML experience often move in from adjacent roles such as data analyst, software engineer, or research assistant. A GitHub portfolio with end-to-end model projects, completion of a cloud certification, and coursework from Arizona State University's online MS in computer science all give candidates a measurable edge in entry-level screening.
Where can I find and apply to machine learning engineer jobs in Arizona?
You can find and apply to machine learning engineer jobs in Arizona on Migrate Mate, which lists current Arizona openings. Search the listings, find roles that match your background and target location, and apply directly to the ones that fit.
See All 257+ Machine Learning Engineer Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
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