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Machine Learning Engineer Jobs in Phoenix, AZ (NOW HIRING)

Intel

Sr. Machine Learning Engineer

Phoenix, AZ

$103K - $142K/yr

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research and model fine tuning. This role sits at the intersection of research and engineering: the ideal ...

MY DR NOW

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr

Knowledge of Machine Learning and Generative AI frameworks * Strong engineering fundamentals and problem-solving skills * A builder mindset -- curious, resourceful, fast-moving, and focused on ...

YO AI Labs

Machine Learning Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Phoenix, AZ

Machine Learning Engineer information

See Phoenix, AZ salary details

$31.3K

$127.9K

$192.1K

How much do machine learning engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for machine learning engineer in Phoenix, AZ is $127,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $153,900.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

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For Machine Learning Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:

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The top searched job categories for Machine Learning Engineer jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Machine Learning Engineer jobs?

Cities near Phoenix, AZ with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $127,856 per year, or $61.5 per hour.

ML Machine Learning Engineer

InterSources Inc

Phoenix, AZ • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
InterSources Inc is an Award-Winning Global Software Consultancy focused on Digital Transformations across various domains. They are seeking a Machine Learning Engineer to create and deliver technical solutions for their AI/Client Engineering portfolio, collaborating with business teams and technology partners to operationalize model development and drive the adoption of Machine Learning.
Responsibilities:
• Regularly engage with business teams to understand their needs and imperatives and operationalize a framework for end to end of model development life cycle.
• Communication with release manager on product related issues and enhancements.
• Uplift existing system to new Client platform and conduct migration testing Automated transformation and data analysis pipeline to create visualization reports and monitoring
• Capability of implementing REST/function API with various types of database
• Review metadata, provide trouble shooting and change requirement between file batches
• Capability of writing, debugging and compiling codes in Machine learning Operation environment
• More than 70%+ of the time spent on coding and/or hands-on technical implementation of re-usable frameworks to drive adoption of Machine Learning in Client
Qualifications:
Required:
• At least 3+ years of experience in the following areas: Bachelor or Master degree in Computer Science, Computer Engineering.
• Hands on knowledge of JAVA, Python, Rest API, Function API, SQL/Hive QL
• Deep understanding of CI/CD process and tools like Git, Docker, Jenkins, XL Release etc.
• Experience with SQL/NSQL databases (MongoDB, Couchbase, Postgres, Cassandra)
• Knowledge in public cloud platforms like AWS, GCP, and Azure
• Ability to scale to big data framework (Hive, pySpark)
• Ability to work in cross functional teams
• Excellent data presentation and visualization skills
Preferred:
• Nice to have experience with any of the Container technologies
• Kubernetes, Helm, Openshift etc.
• Prefer knowledge on Airflow, MLflow.
Company:
InterSources Inc. solves operational problems where protection, performance, compliance, AI, and workforce capability must work together. Founded in 2007, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.
InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

Social media

Twitter

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