1

Machine Learning Engineer Python Jobs in Utah (NOW HIRING)

Data Engineer

Lehi, UT · On-site

$90K - $120K/yr

ZimZee Recruiting is looking for a Data Engineer to join our medical device client in Lehi focused ... machine learning applications. * Develop robust Python-based data processing solutions and ...

AI Engineer

Saint George, UT · On-site

$50K - $90K/yr

Collaborating closely with cross-functional teams, you will develop and optimize machine learning ... Architect and maintain scalable data pipelines using Python, SQL, and AWS services * Integrate and ...

Collaborating closely with cross-functional teams, you will develop and optimize machine learning ... Architect and maintain scalable data pipelines using Python, SQL, and AWS services * Integrate and ...

Senior Data Scientist

Lehi, UT · On-site

$140K - $175K/yr

Strong Python programming skills with experience using scientific computing and machine learning libraries such as NumPy, SciPy, scikit-learn, PyTorch, or TensorFlow * Experience working with ...

Advanced Python Application Development - Hands-on experience developing enterprise-grade ... Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering.

Sr. Data Engineer

Draper, UT

$107K - $128K/yr

Design, build, and operationalize machine learning pipelines for training, validation, deployment ... Strong Python development experience * Advanced SQL development and query optimization skills

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.). * Experience implementing CI/CD pipelines, MLOps practices, and ...

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93K - $122K/yr

Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.). * Experience implementing CI/CD pipelines, MLOps practices, and ...

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.). * Experience implementing CI/CD pipelines, MLOps practices, and ...

AI Infrastructure Engineer IV

Lehi, UT

$100K - $132K/yr

Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.). * Experience implementing CI/CD pipelines, MLOps practices, and ...

next page

Showing results 1-20

Machine Learning Engineer Python information

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 Utah? For Machine Learning Engineer Python jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Machine Learning Engineer Python jobs? Cities in Utah with the most Machine Learning Engineer Python job openings:
Chair, Faculty (AI & Machine Learning)

Chair, Faculty (AI & Machine Learning)

Neumont College of Computer Science

Salt Lake City, UT • On-site

Full-time

Re-posted 11 days ago


Job description

CHAIR, FACULTY is needed to perform the following duties:
  • Cover all material defined in the course description and syllabus; meet course schedule expectations per the academic calendar
  • Demonstrate considerable theoretical and applied understanding of subjects including Machine Learning, AI, Data Engineering, Business Intelligence, Probability and Statistics, Python, R, and SQL
  • Deliver course content using active and project-based learning methodologies; develop effective assessments measuring applied student learning
  • Maintain LMS with updated syllabi, materials, and grades; provide timely feedback on assignments and projects
  • Use mid- and end-of-quarter evaluations to continuously improve course delivery
  • Attend faculty meetings; collaborate with faculty to improve student outcomes; hold minimum 1-2 hours of office hours per weekday.
  • Design and develop courses including Data Science, Applied AI Tools in Business, Data Analytics and Visualization, Applied Python for Data Analysis, Data Engineering, and Cloud-Based AI Solutions
  • Evaluate and adjust degree curriculum through annual program audits and biannual PAC feedback; serve on the curriculum committee
  • Oversee course supervision; guide course development using project-based and active learning methodologies
  • Assist Corporate Relations in evaluating Enterprise Projects; evaluate student Capstone project proposals for technical rigor
  • Manage department budget; monitor overall student performance across the program
  • Build mentor relationships with students individually and in groups; address student complaints and problems respectfully
  • Identify areas for personal development; collaborate with faculty to continuously improve course offerings and student outcomes
  • Provide critical feedback to instructors on teaching effectiveness; conduct peer observations and faculty mentoring
  • Participate in evaluating and interviewing teaching candidates; contribute to committee membership and academic metrics reporting
  • Demonstrate excellent written and verbal communication, conflict resolution, and ethical conduct

Bachelor's Degree is required in Computer Science or Computer Engineering or Engineering Management.
SCHEDULE:
  • Exempt position
  • 40+ hours a week
  • Occasional evenings and weekends, with advanced notice

REPORTS TO: Vice President, Academics
LOCATION: On-site
PHYSICAL EXPECTATIONS:
  • Spending extended periods of time at the campus reception desk
  • Sitting for extended periods
  • Standing for extended periods
  • Lift and carry up to 30 pounds

Neumont University is an equal opportunity employer and provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Neumont's Annual Security & Fire Safety Report is available online at https://www.neumont.edu/campus-safety under the Student Life section. This report is required by federal law to comply with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and contains policy statements and crime statistics for the school. The policy statements address the school's policies, procedures and programs concerning safety and security. You may also request a paper copy from the Vice President, Student Affairs.