ML Engineer Jobs in Arizona
ML Engineer jobs in Arizona are in strong demand, with the state's growing technology corridor attracting consistent hiring from defense, semiconductor, and financial technology sectors at levels from entry-level through senior and principal positions. Phoenix and Scottsdale lead in overall openings, with Tempe also emerging as a secondary concentration point where university-adjacent tech campuses cluster. Established employers with long-term Arizona footprints, including Intel, Raytheon, and Wells Fargo's technology operations, regularly seek ml engineers with specializations in computer vision, natural language processing, and MLOps. Find a role that fits below and apply directly.
Find ML Engineer JobsOverview
Showing 5 of 9+ 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 ML Engineer Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
Find ML Engineer JobsML Engineer Jobs by City in Arizona
Where Arizona roles are concentrated, by current openings.
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 ML engineer jobs across Arizona.
- Bachelor's or master's degree in computer science, machine learning, or a closely related field
- Hands-on experience building and deploying production machine learning models at scale
- Proficiency in Python and core ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Familiarity with cloud ML platforms, particularly AWS SageMaker, Azure ML, or Google Vertex AI
- Experience with MLOps practices including model versioning, monitoring, and automated retraining pipelines
- Strong communication skills to translate model outputs and limitations to non-technical stakeholders
ML Engineer Jobs in Arizona: Frequently Asked Questions
How do you become a ml engineer in Arizona?
The concrete path into ml engineering in Arizona starts with a bachelor's degree in computer science, mathematics, or a related technical field, with many roles preferring a master's degree. Arizona has no state-issued license for this role. Most Arizona employers expect a portfolio of deployed model projects and demonstrated cloud platform experience. Arizona State University and the University of Arizona both offer graduate programs that feed directly into the state's major tech and defense hiring pipelines.
Which companies hire ml engineers in Arizona?
Employers hiring 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 defense, semiconductor, and financial technology industries sustain some of the most consistent demand in the region.
Which Arizona cities have the most ml engineer jobs?
Phoenix, Tempe, and Tucson have the most ml engineer openings in Arizona. Phoenix dominates by volume because it anchors the state's financial services and enterprise technology headquarters, while Scottsdale and Tempe draw from a dense cluster of software firms, semiconductor operations, and university-affiliated research groups that have expanded rapidly along the greater Phoenix metro corridor.
Are there remote ml engineer jobs in Arizona?
Yes, and more than most fields. About 11% of ml engineer openings tied to Arizona are remote or hybrid as of June 2026, reflecting how naturally the role fits distributed work. Model development, experimentation, and data pipeline work are the most consistently remote-eligible responsibilities, while on-site expectations tend to arise in defense or semiconductor settings that require access to secure facilities.
How can I get hired as a ml engineer in Arizona with little or no experience?
The most realistic entry point is an associate machine learning engineer or data analyst role, which many Arizona employers use as a pipeline into full ML positions. Intel and Raytheon both run structured early-career technical programs in Arizona that accept candidates from adjacent roles in data engineering or software development. Building a public portfolio of end-to-end model projects on real datasets, combined with a cloud certification from AWS or Google, gives early-career candidates a concrete edge over applicants with coursework alone.
Where can I find and apply to ml engineer jobs in Arizona?
You can find and apply to ml engineer jobs in Arizona on Migrate Mate, which lists current Arizona openings. Find roles that fit your experience and specialization, then apply directly through each listing.
See All 9 ML Engineer Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
Find ML Engineer Jobs