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Machine Learning Engineer Python Jobs in Lehi, UT

Autonomous Solutions

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 ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

Required : • Complete familiarity with various statistical and machine learning techniques ... SQL Server) • Ability to code in 1+ general purpose programming language (C#, Java, etc.) • ...

PDF Solutions

Senior Layout Extraction Engineer

Midvale, UT · On-site +1

$120K - $160K/yr

... using Machine Learning / AI (preferred) o Analytical & Problem-Solving Skills · Analysis and ... Linux · Python, Perl, Tcl, Shell scripting · Experience in large-scale data processing and ...

Patientco

Data Scientist

Lehi, UT

This is a product engineering role in which employees work with multiple types of business data ... Complete familiarity with various statistical and machine learning techniquesincluding ...

Crew Career Center

Data Scientist

Lehi, UT

This is a product engineering role in which employees work with multiple types of business data ... Complete familiarity with various statistical and machine learning techniquesincluding ...

Waystar

Data Scientist

Lehi, UT · On-site

This is a product engineering role in which employees work with multiple types of business data ... The role will focus on extending machine learning, predictive modeling, and analytic components to ...

AdvancedMD

Technical Product Manager

South Jordan, UT · On-site

$159K - $184K/yr

Collaborate with product managers across the portfolio, data scientists, machine learning engineers ... Technical proficiency with data stacks (e.g., Python, SQL, APIs, cloud services) and common AI/ML ...

AdvancedMD

Technical Product Manager

South Jordan, UT · On-site

$159K - $184K/yr

Collaborate with product managers across the portfolio, data scientists, machine learning engineers ... Technical proficiency with data stacks (e.g., Python, SQL, APIs, cloud services) and common AI/ML ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

The role will focus on extending machine learning, predictive modeling, and analytic components to ... Works closely with Application Engineering teams to gather and process data, as well as in ...

Crew Career Center

Sr. Data Scientist

Lehi, UT

The role will focus on extending machine learning, predictive modeling, and analytic components to ... Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing ...

Fidelity Corp

Senior Data Engineer

Salt Lake City, UT

$102K - $139K/yr

Programs testable and maintainable software solutions using Object Oriented (OO) Python programming and Machine Learning (ML) libraries, including Pandas, NumPy, Scikit-learn, and TensorFlow.

Patientco

Sr. Data Scientist

Lehi, UT

The role will focus on extending machine learning, predictive modeling, and analytic components to ... Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing ...

nCino

Senior Data Scientist

Lehi, UT · On-site

... of programming skills in Python or R • Experience with data visualization tools (DOMO, AWS Quicksight, Tableau, etc.) • Demonstrated mastery of machine learning algorithms and techniques • ...

KēSTA I.T.

Data Engineer

Draper, UT · On-site

$100K - $114K/yr

... and machine learning * Identify and evaluate external data sources, and develop strategies to ... Programming experience in languages such as Python, Scala, Java, or similar (Python preferred)

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All JobsMachine Learning Engineer Python JobsMachine Learning Engineer Python Jobs in Lehi, UT

Machine Learning Engineer Python information

See Lehi, UT salary details

$21.6K

$131.4K

$190.1K

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

As of Jul 16, 2026, the average yearly pay for machine learning engineer python in Lehi, UT is $131,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,700.00 and $154,400.00 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 Lehi, UT? For Machine Learning Engineer Python jobs in Lehi, UT, the most frequently searched job titles are:
Machine Learning Engineer Python jobs near you
AI Infrastructure Engineer IV

AI Infrastructure Engineer IV

Autonomous Solutions

Lehi, UT

$100K - $132K/yr

Full-time

Re-posted 9 days ago

Job description

At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail and Growth guiding everything we do, we're shaping the future of automation in dynamic markets.

As an AI Infrastructure Engineer IV, you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our compute, storage, and cloud environments are scalable, efficient, and tuned for high-performance AI workloads. Working closely with data scientists, robotics engineers, and software teams, you'll develop robust infrastructure that supports the deployment and reliability of our AI-driven autonomous systems.

Responsibilities:

  • Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage, and networking to support AI and ML workloads.

  • Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability, cost-efficiency, and high availability.

  • Collaborate with data scientists, ML engineers, and software teams to support AI model development, training, and deployment workflows.

  • Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and reliable AI infrastructure processes.

  • Optimize compute and storage systems to achieve maximum performance and throughput for AI/ML pipelines.

  • Monitor system health and troubleshoot performance bottlenecks, infrastructure issues, and deployment challenges.

Required Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.

  • 8+ years of experience in cloud infrastructure, DevOps, or platform engineering with 3+ years working on AI/ML systems.

  • Strong understanding of modern AI infrastructure components, including distributed computing, GPU-accelerated systems, and large-scale storage.

  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.

  • Proficiency with Kubernetes, Docker, Terraform, or similar containerization and orchestration tools.

  • 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 automation tooling.

At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

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