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Machine Learning Engineer Associate Jobs in Orem, UT

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages

Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...

Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...

Data Scientist

Lehi, UT · On-site

$120K - $145K/yr

Collaborate with data science peers, engineering, product, and operations teams to design, test, and deploy machine learning models that deliver operational impact * Partner with engineering teams to ...

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

The Research Associate plays a key role in advancing the College of Dental Medicine and the ... Proficiency in statistical software and programming languages. * Experience with machine learning ...

POSITION SUMMARY The DSP/Firmware Engineer role at AtlasIED involves the development of embedded ... Basic knowledge of core machine learning concepts * Experience with real-time audio processing and ...

They are seeking a Senior Software Engineer - Full Stack to contribute to their Aware platform by ... AI, machine learning, and predictive algorithms • Familiarity with statistics and healthcare ...

Sr. Data Scientist

Lehi, UT · On-site

$150K - $185K/yr

Partner with engineering, product, and operational stakeholders to design, test, and deploy machine learning and analytical solutions that leverage system data and user behavior * Collaborate with ...

They are seeking a Senior Software Engineer to contribute to their Aware platform, focusing on ... AI, machine learning, and predictive algorithms • Familiarity with statistics and healthcare ...

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

... machine learning applications • Develop and maintain data ingestion processes to bring data from external sources into the organization's data environment • Identify and address performance ...

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Machine Learning Engineer Associate information

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$71.8K

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

As of Jun 19, 2026, the average yearly pay for machine learning engineer associate in Orem, UT is $71,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $82,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

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

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Orem, UT? The most popular types of Machine Learning Engineer jobs in Orem, UT are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Orem, UT? For Machine Learning Engineer Associate jobs in Orem, UT, the most frequently searched job titles are:
What cities near Orem, UT are hiring for Machine Learning Engineer Associate jobs? Cities near Orem, UT with the most Machine Learning Engineer Associate job openings:

Senior Data Scientist

nCino OpCo

Lehi, UT • On-site

$107K - $183K/yr

Full-time

Posted 9 days ago


Job description

nCino offers exciting career opportunities for individuals who want to join the worldwide leader in cloud banking.


Are you a highly motivated problem solver looking for a challenge? Do you want to make a significant impact on complex banking problems and be a driving force in the AI revolution in banking? Then look no further! Our Data & AI team is seeking a Senior Data Scientist to join us in building intelligent automation and insights into our products.
As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify high-impact business challenges and opportunities, analyze complex datasets, extract meaningful insights, and develop/deploy/monitor data-driven solutions. Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be instrumental in driving data-driven products and services across the banking industry.


 

Essential Functions:

  • Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages

  • Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to solve business problems

  • Experience in large data sets and algorithms

  • Considers and analyzes information from multiple data sources, including experience and input from others when determining the best approach for routine and non-routine problems

  • Ability to prototype ideas and demonstrate pros and cons in a clear and concise manner

  • Understanding of data science priorities and how each contributes to the success of nCino

  • Demonstrates ability to acquire domain knowledge of the business and effectively applies this expertise to inform model development and problem-solving approaches

  • Extensive experience in developing, deploying, and monitoring complex machine learning models

  • Lead and guide teams in implementing programming best practices and adopting emerging technologies

  • Leverage AI tools and techniques to enhance software development activities, including code generation, testing, debugging, and optimization.

  • Apply AI insights to identify patterns, automate repetitive tasks, and improve overall development efficiency and product quality.

  • Evaluate and integrate AI/ML capabilities where appropriate to strengthen product functionality and user experience.

  • Maintain awareness of emerging AI trends and best practices to inform continuous learning and innovation.

Qualifications:

Required:

  • Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field with 5+ years of related experience or combination of experience and education

  • Demonstrated mastery 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

  • Strong problem-solving skills and ability to work independently and collaboratively

  • Strong experience with SQL or noSQL and database management systems

  • Experience deploying and monitoring models in production

  • Strong understanding of the business domain

  • Ability to translate business questions into analytics projects and deliver actionable insights

  • Flexibility and the ability to be productive in a fast-paced, team environment

  • Excellent verbal and written communication skills for technical and non-technical audiences

  • Familiarity with production code practices, including unit testing, object-oriented programming (OOP), error handling, logging, contract testing, and version control

Desired:

  • Advanced degree in Data Science, Statistics, Mathematics, Computer Science or a related field

  • Experience developing and deploying models using Databricks and mlflow

  • Experience with AWS tools and services, including Lambda, Sagemaker, S3, Athena, Quicksight

  • Experience with Agile software development


 

If you thrive in a high-energy, entrepreneurial environment, we invite you to share your passion, ideas and excitement at nCino.


 

The pay range for this role is based on relative market data and alignment with our compensation philosophy. The range displayed reflects the minimum and maximum of the pay range for each job posting, which is used to determine new hire rates/salaries and takes into consideration multiple factors including but not limited to knowledge, skills, abilities, proficiencies, experience, education, licensures/certifications, as well as business and organizational needs. nCino reserves the right to modify the posted range consistent with our internal practices and external market movement. The recruiter for this job posting can share more compensation details during the recruitment process, as base salary is only one component of the total compensation package per position posted.

The base salary range for this job is:

$107,900.00 - $183,400.00

nCino provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, genetics or other protected groups. In addition to federal law requirements, nCino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

nCino is committed to the full inclusion of all qualified individuals. As part of this commitment, nCino will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us at recruiting@ncino.com.

Our commitment to inclusion and equality includes a strong belief that the diversity of our team is instrumental to our success. We strive to create workplaces where employees are empowered to bring their authentic selves to work.