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Machine Learning Engineer Python Jobs in Tucson, AZ

SynergisticIT

Entry Level Data Scientist

Tucson, AZ · On-site

Hands on experience Python scripting * Hands on experience in building Machine Learning and ... Bachelors, Masters in Computer Science/Computer Engineering/Information Systems/Information ...

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 ...

Sedgwick

Principal Data Scientist

Tucson, AZ · On-site +1

Deep expertise in machine learning algorithms, statistical modeling techniques, and predictive analytics methodologies. * Strong programming skills in Python, R, or similar analytical languages.

SynergisticIT

Data Analyst

Tucson, AZ · On-site

Python. * SQL and NoSQL. * Machine Learning. * Linear Algebra and Calculus. Education Requirement: Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information ...

Varsity Tutors

Data Science Tutor

Tucson, AZ · Remote

$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 ...

DataAnnotation

DevOps Engineer

Tucson, AZ · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

DataAnnotation

Software Engineer

Tucson, AZ · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

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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 Jun 4, 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 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 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 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 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 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 May 2026, with employment types broken down into 48% Full Time, 50% Part Time, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $132,340 per year, or $63.6 per hour.
Junior java developer spring boot and AI focus/Data engineer

Junior java developer spring boot and AI focus/Data engineer

SynergisticIT

Tucson, AZ • On-site, Remote

$64.60K - $83.90K/yr

Other

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

Job description

"Ghosted by companies and/or Failing Interviews?-Start getting offers"
For jobseekers who get interviews but don't convert them into offers
Many job seekers assume the tech market has shut down, but the truth is companies are still hiring - they're just being more selective. Employers want candidates who demonstrate practical skills, confidence, and readiness. That means only the most prepared, polished, and employer-ready candidates get through. Getting hired in tech isn't just about knowing how to code - it's about proving you can deliver value from day one.
If you're getting interviews but not offers, you're closer than you think-yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds. The result is painful: "almost hired" over and over again, while the confidence drops. The truth is that interviewing is its own skill, and most bootcamps don't teach it deeply. They teach how to code-but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer.
Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers.
The best way to understand this: you can be smart and still fail interviews if you don't know what the interview is truly measuring. Interviews rarely test "can you write code at home." They test:
  • Can you solve problems under constraints and time pressure?
  • Can you communicate your approach clearly?
  • Can you handle edge cases and complexity?
  • Can you explain trade-offs and design choices?
  • Can you show job-ready project depth, not just toy examples?
SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers. The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for.
If your pattern is "I reach interviews but don't clear them," you likely need three upgrades:
  1. Stronger project narratives (what you built, why it matters, how it works)
  2. Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design)
  3. Mock interview reps (realistic simulation, feedback, improvement loops)

Many jobseekers underestimate how much hiring is about clarity. You don't need to be perfect-you need to show you can think, collaborate, and deliver. That's why guided mock interviews and structured interview coaching can be a game-changer.
Please read our blogs
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
What Recruiters Look for in Junior Developers | SynergisticIT
Software engineering or Data Science as a career?
Ideal candidates for this version include:
  • Candidates who get interviews but repeatedly fall short
  • Jobseekers stuck in "screen round limbo"
  • Developers who panic during live coding
  • Candidates who can build projects but struggle to explain them
  • Professionals who haven't interviewed in years and feel rusty
  • Career changers who fear "I'm behind CS grads" (often untrue with support)
SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical.
  • Event videos (OCW, JavaOne, Gartner):
  • USA Today feature

If you're tired of failing interviews and want a structured plan to convert interviews into offers, start here:
Contact SynergisticIT: https://www.synergisticit.com/contact-us/
Because getting hired isn't about trying harder-it's about preparing smarter, practicing correctly, and having the right guidance.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

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