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Entry Level Machine Learning Engineer Jobs in Arizona

Champions Funding LLC

Data Scientist

Gilbert, AZ · On-site

Partner with data engineering, IT, and business teams to develop scalable data pipelines and deploy machine learning models into production environments. * Evaluate data quality, model performance ...

CNH Industrial N.V.

AI Development Engineer

Tempe, AZ · On-site

$111K - $163K/yr

Engineering and Technical Job Type for Job Posting: Full Time Working Mode for Job Posting: Hybrid ... Generating software systems derived from various Machine Learning (ML) techniques to drive ...

TSMC

Quality Management Engineer

Phoenix, AZ · On-site

$88K - $114K/yr

As a Quality Management Engineer at tsmc Arizona site, you will co-work with Taiwan Central quality ... Predictive analytics and statistical applications including modeling, machine learning, data ...

TSMC

Quality Management Engineer

Phoenix, AZ · On-site

$88K - $114K/yr

As a Quality Management Engineer at tsmc Arizona site, you will co-work with Taiwan Central quality ... Predictive analytics and statistical applications including modeling, machine learning, data ...

Cognizant Technology Solutions

AI Engineer

Mesa, AZ · On-site

$65K/yr

Key Responsibilities • Build, train, and deploy machine learning and deep learning models ... engineering, and statistical analysis to support model development. • Ingest, process, and ...

Pwc

US Tech - AI Engineering Senior Associate

Phoenix, AZ · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

HF Sinclair

Entry Level Operator

Glendale, AZ · On-site

$16.25 - $19.50/hr

... Entry Level Operator ... This position will be responsible for learning the skills necessary to assist with production and ...

HF Sinclair

Entry Level Operator

Glendale, AZ · On-site

$16.25 - $19.50/hr

... Entry Level Operator ... This position will be responsible for learning the skills necessary to assist with production and ...

eFulgent

Engineer II (ServiceNow Developer)

Phoenix, AZ · On-site

$53.50 - $73.75/hr

Job Summary (List Format) - Engineer II (ServiceNow Developer): - Develop, customize, and maintain ... Utilize knowledge of Machine Learning or Generative AI within ServiceNow, if applicable.

TPI Composites

Engineer, Development

Scottsdale, AZ · On-site +1

Develops numerical models to simulate the manufacturing processes and create engineering tools ... Experience with developing machine learning and artificial intelligence techniques is highly ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Arizona

Entry Level Machine Learning Engineer information

See Arizona salary details

$28K

$64.6K

$110K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for entry level machine learning engineer in Arizona is $64,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $73,200.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are the most commonly searched types of Machine Learning Engineer jobs in Arizona?

The most popular types of Machine Learning Engineer jobs in Arizona are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Arizona?

For Entry Level Machine Learning Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning Engineer jobs in Arizona look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Arizona are:

What cities in Arizona are hiring for Entry Level Machine Learning Engineer jobs?

Cities in Arizona with the most Entry Level Machine Learning Engineer job openings:

Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Arizona as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $64,638 per year, or $31.1 per hour.

Data Scientist

Champions Funding LLC

Gilbert, AZ • On-site

Full-time

Posted 29 days ago

Job description

Description:

• Design, develop, and evaluate machine learning, statistical, and predictive models to solve complex business challenges across multiple departments.
• Apply modern artificial intelligence and machine learning techniques, including large language models (LLMs), generative AI, and advanced analytics, to automate processes, enhance decision-making, and generate business insights.
• Translate business objectives into well-defined analytical, statistical, and machine learning solutions that deliver measurable business value.
• Analyze large, complex datasets to identify trends, patterns, opportunities, and operational improvements.
• Partner with data engineering, IT, and business teams to develop scalable data pipelines and deploy machine learning models into production environments.
• Evaluate data quality, model performance, and AI system limitations while ensuring responsible, ethical, and practical implementation of predictive models.
• Present analytical findings, recommendations, and technical concepts clearly to executive leadership and both technical and non-technical stakeholders.
• Develop, monitor, and optimize predictive models, ensuring ongoing performance, accuracy, and reliability through continuous improvement.
• Stay current with emerging technologies, AI advancements, machine learning methodologies, and data science best practices to identify opportunities for innovation.
• Collaborate across departments to support strategic initiatives, business intelligence projects, forecasting, automation, and operational optimization.
• Maintain thorough documentation of models, methodologies, assumptions, and development processes to support transparency, reproducibility, and governance.
• Support ad hoc analytical projects and provide data-driven recommendations that improve business performance and operational efficiency.

Requirements:

• Bachelor's degree required in Mathematics, Data Science, Computer Science, Engineering, Physics, or another quantitative discipline; advanced degree preferred.
• Strong technical foundation in statistics, predictive modeling, machine learning algorithms, and programming languages such as Python and SQL.
• Demonstrated experience working with modern AI technologies, including deep learning, large language models (LLMs), generative AI, MLOps, or related machine learning frameworks.
• Experience developing, deploying, and maintaining machine learning models in production environments.
• Strong understanding of cloud computing platforms and modern data science tools and technologies.
• Ability to evaluate model performance, balance trade-offs between accuracy, interpretability, speed, and risk, and apply sound judgment in ambiguous situations.
• Experience communicating complex technical concepts to business leaders and collaborating effectively with cross-functional teams.
• Experience within financial services, mortgage lending, or other highly regulated industries preferred.
• Familiarity with model governance, model risk management, compliance, or regulatory frameworks is a plus.