AI ML Engineer Jobs in Arizona
AI ML Engineer jobs in Arizona are in strong demand, with active hiring across defense and aerospace, semiconductor manufacturing, financial services, and healthcare technology at every level from entry-level data scientists through principal engineers and research leads. Phoenix and Scottsdale anchor the largest share of openings, with Tempe close behind as a growing hub tied to Arizona State University's research ecosystem and its surrounding tech corridor. Intel, Honeywell, and Banner Health are among the most established Arizona employers with sustained AI and machine learning hiring, and the most sought-after specialties include computer vision, natural language processing, and MLOps engineering. Find a role that fits below and apply directly.
Find AI ML Engineer JobsOverview
Showing 5 of 9+ AI ML 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 9 AI ML Engineer Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
Find AI ML Engineer JobsAI ML Engineer Jobs by City in Arizona
Where Arizona roles are concentrated, by current openings.
AI ML Engineer Job Market in Arizona
A snapshot from current Arizona openings, updated as new roles post.
Who's Hiring
- Intel1
- Jobot1
- Mayo Clinic1
- Oscar Health1
- JPMorganChase1
Top Industries Hiring
- Education3
- Electronics & Hardware2
- Manufacturing1
- Staffing & Recruiting1
- Technology & Software1
What Arizona Employers Look For
The qualifications that appear most often in AI ML engineer jobs across Arizona.
- Bachelor's or master's degree in computer science, mathematics, or a closely related field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Hands-on experience designing, training, and deploying machine learning models in production
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment
- Experience with MLOps practices including model versioning, monitoring, and CI/CD pipelines
- Strong understanding of statistical modeling, data wrangling, and feature engineering techniques
AI ML Engineer Jobs in Arizona: Frequently Asked Questions
How do you become a ai ml engineer in Arizona?
There is no state-issued license required to work as an ai ml engineer in Arizona. Most Arizona employers hire candidates who hold at least a bachelor's degree in computer science, statistics, or a related field, though a master's degree is increasingly preferred for research-oriented roles. Building a portfolio of deployed projects and earning vendor certifications from AWS or Google Cloud strengthens your profile. Arizona State University and the University of Arizona both offer graduate programs that Arizona employers actively recruit from.
Which companies hire ai ml engineers in Arizona?
Employers hiring ai ml engineers in Arizona right now include Intel, Jobot, and Mayo Clinic, based on current listings on Migrate Mate as of June 2026. Arizona's mix of defense contractors, semiconductor firms, large health systems, and fintech companies means hiring is spread across multiple industries rather than concentrated in a single sector.
Which Arizona cities have the most ai ml engineer jobs?
Phoenix, Tempe, and Tucson have the most ai ml engineer openings in Arizona. Phoenix leads because it is home to regional headquarters for defense, finance, and healthcare employers, while Scottsdale and Tempe benefit from a dense concentration of tech companies, startups, and university-affiliated research programs that generate consistent demand for machine learning talent.
Are there remote ai ml engineer jobs in Arizona?
Yes, and more than most fields. About 11% of ai ml engineer openings tied to Arizona are remote or hybrid as of June 2026, reflecting how much of the work centers on code, model development, and data pipelines rather than on-site equipment. The roles most likely to be fully remote are those focused on NLP research, data science, and model evaluation rather than embedded systems or on-premises infrastructure work.
How can I get hired as a ai ml engineer in Arizona with little or no experience?
The most realistic entry path is through a data analyst or software engineering role at an Arizona employer that has an internal AI team, then transitioning once you have demonstrated relevant project work. Companies like Intel and large Phoenix-area health systems regularly hire associate data scientists and junior ML engineers for structured early-career programs. Building a public project portfolio on GitHub, completing a graduate certificate through Arizona State University's online programs, and contributing to open-source ML projects are the credentials Arizona hiring managers mention most when evaluating candidates without industry experience.
Where can I find and apply to ai ml engineer jobs in Arizona?
You can find and apply to ai ml engineer jobs in Arizona on Migrate Mate, which lists current openings from employers actively hiring in the state. Search the available roles, find the ones that match your experience and target location, and apply directly to the ones that fit.
See All 9 AI ML Engineer Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
Find AI ML Engineer Jobs