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Entry Level Machine Learning Jobs in Tucson, AZ (NOW HIRING)

Royal Speedway Inc

Hourly Technician

Tucson, AZ

The position for which you are applying includes entry-level through advanced master certified ... Reports machinery defects or malfunctions to supervisor. * Attends departmental meetings and ...

Precision Toyota of Tucson

IT Support Agent - Tier 1

Tucson, AZ · On-site

$19.25 - $26.50/hr

Precision Toyota of Tucson is seeking a motivated and congenial Entry-Level IT Help Desk Agent to ... Aptitude for learning new technologies and procedures quickly. * Reliable, punctual, and able to ...

Precision Toyota of Tucson

IT Support Agent - Tier 1

Tucson, AZ · On-site

$19.25 - $26.50/hr

Precision Toyota of Tucson is seeking a motivated and congenial Entry-Level IT Help Desk Agent to ... Aptitude for learning new technologies and procedures quickly. * Reliable, punctual, and able to ...

All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Tucson, AZ

Entry Level Machine Learning information

See Tucson, AZ salary details

$11

$16

$20

How much do entry level machine learning jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for entry level machine learning in Tucson, AZ is $16.51, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $17.93 per hour, depending on experience, location, and employer.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and specialized knowledge. These positions usually involve leadership, strategic planning, and the development of complex AI systems, and they tend to be found in large tech companies or specialized AI firms.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized knowledge in data analysis, programming, and domain expertise that AI tools currently cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and AI system trainers, are also expected to remain in demand. Developing skills in programming languages like Python and understanding of algorithms will enhance job security in this field.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

What Are Entry-Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What jobs pay $4000 a week without a degree?

Entry-level machine learning roles typically do not pay $4000 a week without advanced skills or certifications. High-paying tech jobs often require specialized knowledge, experience, or degrees, but some freelance data scientists or AI consultants with strong portfolios can reach high earnings through project-based work. Most roles at this pay level generally demand experience or advanced training beyond entry-level positions.
More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Tucson, AZ? The most popular types of Machine Learning jobs in Tucson, AZ are:
What are popular job titles related to Entry Level Machine Learning jobs in Tucson, AZ? For Entry Level Machine Learning jobs in Tucson, AZ, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Tucson, AZ look for? The top searched job categories for Entry Level Machine Learning jobs in Tucson, AZ are:
What cities near Tucson, AZ are hiring for Entry Level Machine Learning jobs? Cities near Tucson, AZ with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Tucson, AZ as of July 2026, with employment types broken down into 1% Locum Tenens, 83% Full Time, 15% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $34,346 per year, or $16.5 per hour.
AI-ML Engineer 1

AI-ML Engineer 1

Universal Avionics Systems Corporation

Tucson, AZ • On-site, Remote

$98K - $118K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago

Job description

Summary
We are seeking a motivated and detail-oriented AI/ML Engineer I to join our team. This entry-level position plays a critical role in supporting the design, development, and optimization of scalable AI and machine learning solutions. The ideal candidate has a strong foundation in computer science and data science concepts and is eager to grow within a collaborative and fast-paced environment.
Essential Duties and Responsibilities include the following.  Other duties may be assigned.

  • Design and develop scalable AI solutions using machine learning models and tools 
  • Ensure the scalability, reliability, and performance of AI systems through development and testing 
  • Execute performance testing to assess the efficiency of AI systems when handling large datasets and complex algorithms 
  • Conduct research and testing to build machine learning algorithms and predictive models 
  • Utilize big data tools and cloud platforms to create data pipelines, prototypes, and training datasets 
  • Train, evaluate, and tune machine learning models using frameworks such as TensorFlow, Spark, or scikit-learn 
  • Integrate, test, and monitor AI solutions in production environments 
  • Collaborate with cross-functional teams to support project goals and solution implementation

 Competency

To perform the job successfully, an individual should demonstrate the following competencies.

Technical Skills

  • Programming Proficiency: Solid understanding of Python is essential; familiarity with Java, R, or C++ is beneficial.
  • Machine Learning: Knowledge of basic algorithms (linear regression, decision trees, k-NN, etc.) and supervised/unsupervised learning techniques.
  • AI Tools & Libraries: Familiarity with ML frameworks like scikit-learn, TensorFlow, Keras, or PyTorch.
  • Data Handling: Proficient in data wrangling, preprocessing, and working with structured and unstructured datasets using tools like Pandas and NumPy.
  • Big Data Tools: Exposure to tools like Spark or Hadoop is a plus.
  • Cloud Computing: Awareness of cloud platforms (AWS, Azure, GCP) and services like S3, EC2, or SageMaker.

Analytical & Problem-Solving

  • Ability to break down complex problems into solvable components.
  • Experience in basic model evaluation (precision, recall, F1 score).
  • Comfort working with statistical concepts and metrics.

Software Development

  • Understanding of software engineering best practices: version control (Git), testing, and debugging.
  • Exposure to containerization tools (Docker, Kubernetes) is a bonus.

What We Offer:

  • Benefits eligibility starts on your first day as a full-time employee at Universal Avionics.
  • Medical insurance (multiple plan options, including low-deductible PPO)
  • Preventive care covered at 100%
  • Affordable copays for doctor visits, urgent care, and prescriptions
  • Teladoc virtual care access
  • Vision coverage through VSP (includes exams, frames, and lenses)
  • Dental insurance (covers preventive, basic, and major services)
  • 401(k) with immediate safe harbor match (100% match on up to 4% of pay after 60 days)
  • 9/80 work schedule option – every other Friday off
  • Vacation, sick time, and 14 paid holidays (including a week in December)
  • Tuition reimbursement
  • Gym reimbursement
  • Wellness programs:
    • One Pass Select (discounted access to gyms, fitness apps, and more)
    • Travel assistance and employee discounts
  • Employee Assistance Program (EAP) and emotional wellness support:
    • Up to 3 free counseling visits per issue/year through Reliance Matrix
    • Up to 6 free counseling sessions per issue/year through Health Advocate
    • Includes mental health, financial, legal, work-life, medical navigation, and life coaching support
  • And more!

Why You’ll Love Working Here:

  • Universal Avionics offers the best of both worlds: the close-knit, agile culture of a mid-sized company, with the resources and global impact of our parent company, Elbit Systems.
  • Our team is driven by purpose, innovation, and a shared passion for aviation safety.
  • Here's what makes our work environment thrive:
  • A collaborative, supportive team of skilled professionals and mentors
  • Groundbreaking projects that shape the future of avionics technology
  • A company culture that promotes innovation, career growth, and continuous learning
  • Meaningful work that impacts air travel safety around the world
  • A strong work-life balance, including a 9/80 schedule option

 To learn more about Universal Avionics, visit: www.UniversalAvionics.com

 Universal Avionics’ products and technology are subject to U.S. export laws and regulations, including but not limited to the International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR). As part of our compliance process, we inquire about work authorization and citizenship status to ensure alignment with these regulations.

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