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Machine Learning Engineer Python Jobs in Tucson, AZ

Arete

Scientist (Algorithm Developer)

Tucson, AZ · On-site

Demonstrated experience with signal processing, image processing, computer vision, or machine learning * Experience programming in Python, C, C++, MATLAB or similar languages * Intellectual curiosity ...

Arete Associates

Scientist (Algorithm Developer)

Tucson, AZ · On-site

$85K - $145K/yr

Demonstrated experience with signal processing, image processing, computer vision, or machine learning * Experience programming in Python, C, C++, MATLAB or similar languages * Intellectual curiosity ...

Arete

Scientist (Algorithm Developer)

Tucson, AZ · On-site

Demonstrated experience with signal processing, image processing, computer vision, or machine learning * Experience programming in Python, C, C++, MATLAB or similar languages * Intellectual curiosity ...

Arete

Scientist (Algorithm Developer)

Tucson, AZ · On-site

Demonstrated experience with signal processing, image processing, computer vision, or machine learning * Experience programming in Python, C, C++, MATLAB or similar languages * Intellectual curiosity ...

Varsity Tutors

Data Science Tutor

Tucson, AZ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

University of Arizona

Scientific Analyst II

Tucson, AZ · On-site

... machine learning, deep learning, and statistical modeling. * Strong data wrangling and preprocessing skills for large, heterogeneous datasets. * Expert-level programming skills in Python and/or R ...

Arete

Scientist

Tucson, AZ · On-site

... and machine learning. These efforts involve the development of advanced algorithms, scalable ... Significant experience programming in Python, C/C++, MATLAB or similar languages * Experience ...

Arete

Scientist

Tucson, AZ · On-site

... and machine learning. These efforts involve the development of advanced algorithms, scalable ... Significant experience programming in Python, C/C++, MATLAB or similar languages * Experience ...

Arete

Scientist

Tucson, AZ · On-site

... and machine learning. These efforts involve the development of advanced algorithms, scalable ... Significant experience programming in Python, C/C++, MATLAB or similar languages * Experience ...

Arete Associates

Scientist

Tucson, AZ · On-site

$80K - $130K/yr

... and machine learning. These efforts involve the development of advanced algorithms, scalable ... Significant experience programming in Python, C/C++, MATLAB or similar languages * Experience ...

Top Engineer

X-Midas Software Engineer

Tucson, AZ

Your experience with X‑MIDAS and Python lets you jump right into the team's workflow, and you ... Continuous learning is built into the job as you tackle new DSP challenges and expand your skills ...

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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 Jul 15, 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 is the salary of machine learning engineer in Python?

The average salary for a machine learning engineer proficient in Python typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring specialized skills in deep learning or data engineering may offer higher compensation.

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

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 engineer makes $500,000 a year?

A senior or lead machine learning engineer with extensive experience, advanced skills in Python, deep learning, and data modeling can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI director, often involving advanced skills in Python, deep learning, and data science. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in competitive industries like tech or finance.

Is Python enough for ML engineers?

Python is a fundamental programming language for machine learning engineers due to its extensive libraries like TensorFlow, PyTorch, and scikit-learn. However, proficiency in data manipulation, algorithms, and understanding of machine learning concepts, along with knowledge of tools like SQL and cloud platforms, are also important for success in the role.
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.
Trust & Safety Engineer (GenAI) - Remote

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Tucson, AZ • Remote

$50 - $90/hr

Part-time

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

Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.

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