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Junior Machine Learning Jobs in Arizona (NOW HIRING)

Provide technical leadership to junior scientists, guiding the transition of R&D concepts into ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

Provide technical leadership to junior scientists, guiding the transition of R&D concepts into ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

The junior machine operator safely and efficiently assists with operation of our automated ... to learning from people whose backgrounds, skills, and perspectives challenge and enrich our own.

Responsibilities: • Machine Learning Development: o Design, develop, and implement machine ... mentorship to junior team members. • Innovation and Research: o Stay updated with the latest ...

We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for ...

AI Solutions Architect

Tempe, AZ

$60.25 - $79.50/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... junior team members on technical practices A successful candidate would possess these skills:

Mentor junior data scientists and contribute to best practices in MLOps and model governance. Required Qualifications * 6+ years of experience in data science or applied machine learning roles.

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Junior Machine Learning information

See Arizona salary details

$7

$25

$44

How much do junior machine learning jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for junior machine learning in Arizona is $25.12, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $30.91 per hour, depending on experience, location, and employer.

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

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What types of projects and tasks can a Junior Machine Learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.
What are the most commonly searched types of Machine Learning jobs in Arizona? The most popular types of Machine Learning jobs in Arizona are:
Infographic showing various Junior Machine Learning job openings in Arizona as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 3% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $52,250 per year, or $25.1 per hour.
Junior machine Learning Engineer

Junior machine Learning Engineer

SynergisticIT

Phoenix, AZ

Other

Posted 12 days ago


Job description

Synergistic IT Job Posting

Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We intend to deliver exceptional student outcome. We don't just help you secure a tech job but build a solid career in technology.

Job Description
  • Perform statistical analysis
  • Flask introduction and Flask application
  • Tokenization and Ada boost
  • Work on CNN in python and SVR/SVM and isolation forest
Skills Required
  • Applied Mathematics. Math's is quite an important skill in the arsenal of a Machine Learning engineer.
  • Computer Science Fundamentals and Programming.
  • NLP and Text Mining Required.
  • Pandas Data Analysis Required
  • Experience on Cleansing Data with Python.
Education Requirement

Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

Benefits
  • On Job Technical support
  • E- verified
  • Filing of H1b and Green card
  • Full time position

Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry.

If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you