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Contract Machine Learning Software Engineer Jobs in Utah

Waystar

Sr. Software Engineer - Full Stack

Lehi, UT · On-site

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 ...

Waystar

Sr. Software Engineer - Full Stack

Lehi, UT · On-site

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 ...

Pattern

Senior Software Engineer

Lehi, UT · Hybrid

$115K - $151K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... The Senior Software Engineer leads and oversees the software engineering function in developing ...

Pattern

Senior Software Engineer

Lehi, UT · On-site

$115K - $151K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... The Senior Software Engineer leads and oversees the software engineering function in developing ...

Pattern

Senior Software Engineer

Lehi, UT · Hybrid

$115K - $151K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... The Senior Software Engineer leads and oversees the software engineering function in developing ...

Indeed

Staff ML Software Engineer

Salt Lake City, UT

Comscore, Total Visits, March 2025) Day to Day As a Software Engineer IV (ML) on the Machine Learning Model Platform team at Indeed, you will be responsible for leading and executing key objectives ...

Pattern

Senior Software Engineer - Backend

Lehi, UT · On-site

$115K - $151K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... What is a day in the life of a Senior Software Engineer? * Develop and maintain foundational ...

Pattern

Senior Software Engineer - Backend

Lehi, UT · Hybrid

$115K - $151K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... What is a day in the life of a Senior Software Engineer? * Develop and maintain foundational ...

Pattern

Senior Software Engineer - Backend

Lehi, UT · Hybrid

$115K - $151K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... What is a day in the life of a Senior Software Engineer? * Develop and maintain foundational ...

Pattern

Staff Software Engineer, Predict

Lehi, UT · On-site

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Lead software engineers to deliver innovative, high-quality products on a foundation of ...

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Contract Machine Learning Software Engineer information

How does a Contract Machine Learning Software Engineer typically collaborate with full-time team members during a project?

As a Contract Machine Learning Software Engineer, you will often work closely with full-time data scientists, software engineers, and product managers. Collaboration usually happens through regular stand-up meetings, code reviews, and shared documentation platforms. Despite being a contractor, you’re expected to integrate seamlessly with the team, communicate progress transparently, and adapt to the company’s workflows. Building strong relationships and proactively seeking feedback can help ensure your contributions align with the project’s goals and timelines.

What is the difference between Contract Machine Learning Software Engineer vs Data Scientist?

AspectContract Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master’s in CS, ML, or related fields; experience with ML frameworksBachelor's or Master’s in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often remote, focused on developing ML models and softwareData analysis, visualization, and interpretation, often in research or business settings
Employer & Industry UsageTech companies, startups, consulting firms; used for deploying ML solutionsResearch institutions, finance, healthcare, and tech; used for insights and decision-making

The main difference is that Contract Machine Learning Software Engineers focus on developing and deploying ML models as software solutions, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary objectives and work environments differ.

Which 5 jobs will survive AI?

For a Contract Machine Learning Software Engineer, roles that involve complex problem-solving, creativity, and human judgment are more likely to persist, such as AI research, data science, cybersecurity, software architecture, and technical consulting. These jobs require specialized skills, domain expertise, and adaptability that AI tools currently cannot fully replicate. Continuous learning and proficiency with AI and machine learning tools will help maintain relevance in this evolving field.

What engineers make $500,000?

Senior machine learning software engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.

What is a $900,000 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 research director, often involving advanced skills in deep learning, data science, and software engineering. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working with cutting-edge AI technologies. Compensation at this level reflects the complexity and impact of the work, often including bonuses and stock options.

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

To thrive as a Contract Machine Learning Software Engineer, you need a strong background in computer science, proficiency in programming languages like Python, and expertise in machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, along with knowledge of version control systems like Git, is essential. Strong problem-solving abilities, communication skills, and the ability to work independently or with cross-functional teams make someone stand out in this role. These skills ensure efficient delivery of scalable machine learning solutions that meet client requirements and project timelines.

How much do contract software engineers make?

Contract machine learning software engineers typically earn between $50 and $150 per hour, depending on experience, location, and project complexity. Rates can vary based on skills in specific frameworks, tools, and the duration of the contract.

What is a Contract Machine Learning Software Engineer?

A Contract Machine Learning Software Engineer is a professional who is hired on a temporary or project basis to design, develop, and deploy machine learning models and systems. They often work with organizations that need specialized expertise for a limited duration, helping to build algorithms, analyze data, and integrate AI solutions into existing software products. Contract engineers typically have strong backgrounds in programming, mathematics, and data science, and they may work remotely or on-site. Their responsibilities can range from data preprocessing and model training to deploying models in production environments. This arrangement allows companies to access advanced machine learning skills without committing to a full-time hire.
What are the most commonly searched types of Machine Learning Software Engineer jobs in Utah? The most popular types of Machine Learning Software Engineer jobs in Utah are:
What cities in Utah are hiring for Contract Machine Learning Software Engineer jobs? Cities in Utah with the most Contract Machine Learning Software Engineer job openings:
Contract Machine Learning Software Engineer jobs near you
Platform Engineer Machine Learning (Utah)

Platform Engineer Machine Learning (Utah)

Patientco

Lehi, UT

Other

Medical, Retirement, PTO

Posted 22 days ago

Job description

ABOUT THIS POSITION

We are looking for a Machine Learning Platform Engineer - Backend Services that will help us build out the platform that supportsthe training and application of our predictive models and performs deep analysis to extract machine consumable meaning from unstructured clinical documentation. You will be joining a small team that has become one of the top players in our field in just two years. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. You will be accessing our enormous amount of data to help drive our future innovation.

WHAT YOU'LL DO

Responsibilities:

  • Developand enhance the machine learning platform to manage the full model life cycle

  • Build frameworksand toolstoenablethe data science teamdevelopingand enhancingpredictive models,supportscalablereal-time predictions in production

  • Design and implementdata engineering solutionsformodel training

  • Expand NLP capabilities with advanced analysis techniques to improve text understanding

  • Design and implementhigh-performance, scalable services and applications

  • Collaborate with team members to create integrated solutions and ensuretimelydelivery of quality software and documentation

  • Understandand adhere to development standards for consistency across teams

  • Performin-depthtechnical and performance analyses to troubleshoot production issues

  • Monitor andmaintainproduction systemsfor reliability and efficiency

WHAT YOU'LL NEED

  • MinimumRequirements (Education,certificationsand experience):

  • Bachelor's degree in Computer Scienceor related area,Masters preferred

  • 7+ years of professional experience writing Pythonor Javacode,with at least 3 years building data platforms

  • Expertproficiencywith SQL

  • NLP

  • Seasoned practitioner of engineering best practices such asCI/CD and automated testing

  • Comfort working in a Linux environment

  • Passion for exploring,applyingand following the evolution ofcutting edgetechnologies related to AI, machine learning, NLP andlarge scaledata processing

  • Professional experience withMLOps, Docker, Kubernetes, relational databases (PostgreSQL preferred), Kafka, REST API design, and microservices application architectures

  • Experience with public cloud solutions, such as AWS orGCP

  • Proventrack recordof successful delivery of progressively complex technical projects

  • Coaching and mentoring junior engineers in the team

  • Team player DNA with a positive, self-starter attitude

  • Attention to detail, highly organized, with an absolute focus on quality of work

Preferred Requirements:

  • Familiarity withClearML, Triton,PyTorch, and TensorFlow

  • Familiarity with statistics and healthcare domain

  • Provenexpertisein successful large project/build management and execution

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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