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Machine Learning Engineer Python Jobs in Tucson, AZ

University of Arizona

AI Research Scientist

Tucson, AZ · On-site

Create rigorous educational materials focused on applied machine learning, prompt engineering frameworks, transformer dynamics, and responsible AI development. * Establish institutional benchmarks ...

Varsity Tutors

Linear Algebra Tutor

Tucson, AZ · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Trico Electric Cooperative

AI Developer

Marana, AZ · On-site

Incorporates machine learning (including large language models/LLMs) into scalable applications ... Java, Javascript, C#, C++, Python, etc) * Strong technical aptitude with excellent proficiency in ...

Trico Electric Cooperative

AI Developer

Marana, AZ · On-site

$111K - $130K/yr

Incorporates machine learning (including large language models/LLMs) into scalable applications ... Java, Javascript, C#, C++, Python, etc) * Strong technical aptitude with excellent proficiency in ...

Accord Technologies Inc.

FEA Engineer

Tucson, AZ · On-site

$55.50 - $76/hr

FEA Engineer Location: Tucson, Arizona (Onsite) Contract Duration: 2 Years Position type: C2C Must ... Python Scripting - Good to have Preferred Experience * Experience with machines involving heavy ...

Leidos

Mid-Level Software Engineer

Tucson, AZ

If you're passionate about solving complex technical challenges, learning emerging technologies ... Python, Java, or JavaScript * Advanced Programming: Go * Front-end and Back-end Frameworks: React ...

Leidos

Mid-Level Software Engineer

Tucson, AZ · On-site

$87K - $157K/yr

If you're passionate about solving complex technical challenges, learning emerging technologies ... Python, Java, or JavaScript * Advanced Programming: Go * Front-end and Back-end Frameworks: React ...

Raytheon Technologies

Software Engineer II

Tucson, AZ · On-site

$92K - $126K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

Raytheon Technologies

Software Engineer II

Tucson, AZ · On-site

$92K - $126K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

Raytheon

Software Engineer II

Tucson, AZ

$92K - $126K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

Raytheon

Software Engineer II

Tucson, AZ

$92K - $126K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

Raytheon

Software Engineer II

Tucson, AZ

$92K - $126K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

Raytheon

Software Engineer II

Tucson, AZ

$92K - $126K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

Varsity Tutors

Business Analytics Tutor

Tucson, AZ · Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business ... Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies ...

Varsity Tutors

Statistics Graduate Level Tutor

Tucson, AZ · Remote

$18 - $40/hr

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... Adapts instruction using R or Python statistical computing, research paper examples, and proof ...

RTX

Software Engineer II with Security Clearance

Tucson, AZ · On-site

$90K - $124K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

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All JobsMachine Learning Engineer Python JobsMachine Learning Engineer Python Jobs in Tucson, AZ

Machine Learning Engineer Python information

See Tucson, AZ salary details

$21.7K

$132.3K

$191.5K

How much do machine learning engineer python jobs pay per year?

As of Aug 5, 2026, the average yearly pay for machine learning engineer python in Tucson, AZ is $132,340.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $155,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by machine learning engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What are the key skills and qualifications needed to thrive as a machine learning engineer python?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

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

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What is a machine learning engineer python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.
What are popular job titles related to Machine Learning Engineer Python jobs in Tucson, AZ? For Machine Learning Engineer Python jobs in Tucson, AZ, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in Tucson, AZ look for? The top searched job categories for Machine Learning Engineer Python jobs in Tucson, AZ are:
Machine Learning Engineer Python jobs near you
Infographic showing various Machine Learning Engineer Python job openings in Tucson, AZ as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $132,340 per year, or $63.6 per hour.

AI Research Scientist

University of Arizona

Tucson, AZ • On-site

Other

This job post has expired today. Applications are no longer accepted.

University Of Arizona rating

7.2

Company rating: 7.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

383rd of 614 rated colleges and universities

Job description

Advanced AI/ML Development & Technical Consulting

  • Develop, validate, and deploy advanced statistical, machine learning, and deep learning predictive models to generate actionable insights for institutional and research stakeholders.
  • Design and implement Natural Language Processing (NLP) pipelines, text vectorization methods, and unstructured data workflows to extract strategic value from large-scale textual datasets and institutional documents.
  • Serve as an internal consultant for campus researchers and units, advising on model selection, feature engineering, fine-tuning LLMs with custom datasets, validation frameworks, and production deployment strategies.
  • Systematically evaluate model performance utilizing advanced testing and verification frameworks to ensure accuracy, stability, and operational efficiency.

Educational Programming, Curriculum Design & Assessment

  • Design, implement, and facilitate high-impact AI/ML, data science, and generative AI training programs, workshops, and self-paced learning modules tailored for various university audiences (faculty, staff, and students).
  • Create rigorous educational materials focused on applied machine learning, prompt engineering frameworks, transformer dynamics, and responsible AI development.
  • Establish institutional benchmarks and best practices for AI/ML education that seamlessly align with the Office of Responsible AI (ORAI) governance principles.
  • Deploy robust formative and summative learning assessment tools to measure AI literacy gains, track training efficacy, and continuously refine programming to reflect evolving industry standards.

Responsible AI, Governance & Strategic Alignment

  • Operationalize responsible AI practices across the institution, directly guiding stakeholders on algorithmic bias mitigation, model reproducibility, transparency, and data privacy.
  • Partner with colleges, research units, and administrative divisions to identify emerging AI/ML needs, influence data governance policies, and develop collaborative, data-driven solutions.
  • Translate highly complex, technical AI/ML and NLP concepts into accessible, strategic guidance and executive summaries for university leadership and non-technical audiences.
  • Contribute actively to AI strategy alignment and knowledge exchange with external and internal academic, research, and industry partners.

Grant Writing & Program Sustainability

  • Draft and co-author high-quality, multidisciplinary grant proposals and technical funding applications to secure external resources for programmatic sustainability.
  • Partner with cross-functional campus investigators to seamlessly integrate technical data specifications, AI/ML research objectives, budget justifications, and educational project milestones into compelling reviewer narratives.

Knowledge, Skills, and Abilities:

  • Comprehensive understanding of AI ethics, including bias mitigation, model reproducibility, transparency, data governance, and policy compliance.
  • Skilled in drafting high-quality, multidisciplinary grant proposals.
  • Skilled in utilizing real-world case studies, accessible analogies, and practical applications to help understand and ethically apply AI tools.

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