AI ML Engineering Jobs in Arizona
AI ML Engineering jobs in Arizona are in strong and growing demand, concentrated in aerospace and defense, semiconductor manufacturing, financial services, and enterprise technology, with openings from entry-level data engineers through principal and staff ML engineers. Phoenix and Scottsdale anchor the largest share of hiring, with Tempe close behind as the university corridor, and employers like Intel, Raytheon, and American Express consistently fill AI and machine learning roles across the state. The most in-demand specialties include large language model deployment, computer vision, and MLOps pipeline engineering. Find a role that fits below and apply directly.
Find AI ML Engineering JobsOverview
Showing 5 of 8+ AI ML Engineering 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 8 AI ML Engineering Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
Find AI ML Engineering JobsAI ML Engineering Jobs by City in Arizona
Where Arizona roles are concentrated, by current openings.
AI ML Engineering Job Market in Arizona
A snapshot from current Arizona openings, updated as new roles post.
Who's Hiring
- Intel1
- Jobot1
- Oscar Health1
- JPMorganChase1
- Intel Corporation1
Top Industries Hiring
- Education2
- Electronics & Hardware2
- Manufacturing1
- Staffing & Recruiting1
- Technology & Software1
What Arizona Employers Look For
The qualifications that appear most often in AI ML engineering jobs across Arizona.
- Bachelor's or master's degree in computer science, data science, or a related field
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud ML services
- Strong understanding of data preprocessing, feature engineering, and model evaluation techniques
- Ability to communicate model results and technical findings to non-technical stakeholders
AI ML Engineering Jobs in Arizona: Frequently Asked Questions
How do you become a ai ml engineering in Arizona?
Most AI ML engineering roles in Arizona require at least a bachelor's degree in computer science, software engineering, data science, or a closely related field, with a master's degree preferred at larger employers like Intel or Raytheon. Arizona does not issue a state license specific to this role. Building a portfolio of deployed ML projects, completing recognized cloud certifications such as AWS Machine Learning Specialty, and contributing to open-source work are the credentials that move candidates through Arizona hiring pipelines most consistently.
Which companies hire ai ml engineerings in Arizona?
Employers hiring ai ml engineerings in Arizona right now include Intel, Jobot, and Oscar Health, based on current listings on Migrate Mate as of June 2026. Arizona's concentration of defense contractors, semiconductor firms, and large financial services companies means demand is distributed across industries rather than limited to pure tech.
Which Arizona cities have the most ai ml engineering jobs?
Phoenix, Tempe, and Tucson have the most ai ml engineering openings in Arizona. Phoenix drives the largest share because it is home to major corporate campuses in financial services, healthcare technology, and aerospace, while Scottsdale's growing tech hub and Tempe's proximity to Arizona State University pull consistent hiring from mid-size AI-focused companies and research-aligned employers.
Are there remote ai ml engineering jobs in Arizona?
Yes, and more than most fields. About 13% of ai ml engineering openings tied to Arizona are remote or hybrid as of June 2026, reflecting how heavily the work depends on coding, cloud infrastructure, and data pipelines rather than physical presence. Model development, research, and MLOps roles are the most consistently remote, while roles involving on-premises hardware or classified defense systems typically require on-site work.
How can I get hired as a ai ml engineering in Arizona with little or no experience?
The most realistic entry path is through an associate ML engineer or data engineer role, which large Arizona employers like Intel and Banner Health use as a pipeline for candidates without full production experience. Arizona State University's co-op and industry partnership programs place early-career candidates directly with Phoenix-area tech and defense employers. Building a public GitHub portfolio with end-to-end ML projects and earning an entry-level cloud ML certification gives candidates from adjacent roles like data analyst or software developer a credible bridge into AI ML engineering teams.
Where can I find and apply to ai ml engineering jobs in Arizona?
You can find and apply to ai ml engineering jobs in Arizona on Migrate Mate, which lists current openings across Phoenix, Scottsdale, Tempe, and the rest of the state. Find roles that fit your background and apply directly to each one.
See All 8 AI ML Engineering Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
Find AI ML Engineering Jobs