Senior ML Engineer Jobs in Arizona
Senior ML Engineer jobs in Arizona are in strong demand, concentrated in aerospace and defense, semiconductor manufacturing, financial technology, and enterprise software, with openings at every level from mid-career engineer through principal and staff. Phoenix and Scottsdale anchor the majority of hiring, with Tempe emerging as a secondary hub, and established employers like Intel, Raytheon Technologies, and JPMorgan Chase maintain large Arizona engineering teams that regularly recruit senior ml engineers. The most sought-after specialties in the Arizona market are computer vision, natural language processing, and MLOps infrastructure. Find a role that fits below and apply directly.
Find Senior ML Engineer JobsOverview
Showing 5 of 189+ Senior 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 189+ Senior ML Engineer Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
Find Senior ML Engineer JobsSenior ML Engineer Jobs by City in Arizona
Where Arizona roles are concentrated, by current openings.
Senior ML Engineer Job Market in Arizona
A snapshot from current Arizona openings, updated as new roles post.
Who's Hiring
- Matlen Silver9
- ASM8
- Honeywell7
- CVS Health7
- Tata Consultancy Services (TCS)7
Top Industries Hiring
- Consulting & Professional Services38
- Technology & Software36
- Construction & Real Estate18
- Electronics & Hardware17
- Staffing & Recruiting12
What Arizona Employers Look For
The qualifications that appear most often in senior ML engineer jobs across Arizona.
- Bachelor's or master's degree in computer science, statistics, or a closely related technical field
- Five or more years of hands-on experience designing and deploying production machine learning systems
- Proficiency in Python and at least one major ML framework such as TensorFlow or PyTorch
- Experience with cloud platforms including AWS, Azure, or Google Cloud for model training and serving
- Strong background in MLOps practices including CI/CD pipelines, model monitoring, and data versioning
- Demonstrated ability to mentor junior engineers and lead cross-functional technical projects
Senior ML Engineer Jobs in Arizona: Frequently Asked Questions
How do you become a senior ml engineer in Arizona?
Becoming a senior ml engineer in Arizona typically requires a bachelor's or master's degree in computer science, mathematics, or a related field, followed by several years building and shipping machine learning systems in production environments. Arizona does not require a state-issued license for this role. Candidates who advance quickest often accumulate experience in defense, semiconductor, or fintech environments, which are the dominant hiring sectors in the Phoenix metro, and build a portfolio of deployed model work.
How much do senior ML engineers make in Arizona?
Senior ML engineers in Arizona earn a median of about $105,240 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $52,450 for the lowest 10% to over $166,870 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ml engineers in Arizona?
Employers hiring senior ml engineers in Arizona right now include Matlen Silver, ASM, and Honeywell, based on current listings on Migrate Mate as of June 2026. Arizona's concentration of aerospace primes, chip manufacturers, and large financial institutions means demand stays consistent across economic cycles, giving senior candidates a broad range of industry contexts to choose from.
Which Arizona cities have the most senior ml engineer jobs?
Phoenix, Chandler, and Scottsdale account for the largest share of senior ml engineer openings in Arizona. Phoenix drives the most volume as home to the state's largest tech corridors and corporate campuses, Scottsdale attracts fintech and enterprise software firms, and Tempe benefits from its proximity to Arizona State University and the startup and R&D operations that cluster around it.
Are there remote senior ml engineer jobs in Arizona?
Yes, and more than most fields. About 23% of senior ml engineer openings tied to Arizona are remote or hybrid as of June 2026, reflecting the fact that most of the work happens in code, notebooks, and cloud infrastructure rather than on a physical site. Research, modeling, and experimentation phases tend to be the most remote-friendly, while roles that require close collaboration with hardware or defense-cleared facilities are more likely to require an on-site presence.
How can I get hired as a senior ml engineer in Arizona with little or no experience?
The most realistic entry path is targeting associate or junior machine learning engineer roles at Arizona's large defense and semiconductor employers, which run structured new-graduate programs, including Intel's university hiring pipeline and Raytheon's engineering development program, where candidates transition into ML-adjacent data science or software engineering positions before moving into dedicated ML work. Building a public portfolio of end-to-end projects, contributing to open-source ML tooling, and completing cloud certifications from AWS or Google Cloud gives candidates a concrete edge when competing for those early-career openings.
Where can I find and apply to senior ml engineer jobs in Arizona?
You can find and apply to senior ml engineer jobs in Arizona on Migrate Mate, which lists current openings tied to the Arizona market. Search the available roles, identify the ones that match your background and preferred location, and apply directly to each one that fits.
See All 189+ Senior ML Engineer Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
Find Senior ML Engineer Jobs