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Contract Machine Learning Software Engineer Jobs in Utah

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

Minimum Qualifications * 5+ years of software engineering or machine learning engineering experience. * Hands-on experience fine-tuning, adapting, or deploying large language models. * Strong ...

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site

$144K - $233K/yr

Minimum Qualifications * 5+ years of software engineering or machine learning engineering experience. * Hands-on experience fine-tuning, adapting, or deploying large language models. * Strong ...

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

Minimum Qualifications * 5+ years of software engineering or machine learning engineering experience. * Hands-on experience fine-tuning, adapting, or deploying large language models. * Strong ...

Socket.dev

Senior Engineer - Machine Learning

Midvale, UT · On-site

$150 - $200/hr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting ... Qualifications: * 6+ years of professional software development experience, with a focus on Python.

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Contract Machine Learning Software Engineer information

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 key skills and qualifications needed to thrive as a contract machine learning software engineer?

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 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.

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 are popular job titles related to Contract Machine Learning Software Engineer jobs in Utah?

For Contract Machine Learning Software Engineer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Contract Machine Learning Software Engineer jobs in Utah look for?

The top searched job categories for Contract 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

Software Engineer (C++, Embedded Development, Real-Time, Linux Development, GNU Radio, virtualizatio

Salt Lake City, UT • On-site

DBA Web Technologies
IT Services • 11 - 50 employees
Learn more about DBA Web Technologiesexternal

$100 - $125/hr

Other

Retirement

Posted 6 days ago

Job description

Software Engineer (C++, Embedded Development, Real-Time, Linux Development, GNU Radio, virtualization, Docker, Machine learning, Kafka, MongoDB, Simulation Tools, Python, Perl, networking technologies) in Salt Lake City, UT

C++, Embedded C++, Linux, Machine Learning, Perl, Python

Location: Utah

Job Function: Software Development

Date Of Job Posting: 09-28-2021

Software Engineer (C++, Embedded Development, Real-Time, Linux Development, GNU Radio, virtualization, Docker, Machine learning, Kafka, MongoDB, Simulation Tools, Python, Perl, networking technologies) in Salt Lake City, UT

Position: Software Engineer (C++, Embedded Development, Real-Time, Linux Development, GNU Radio, virtualization, Docker, Machine learning, Kafka, MongoDB, Simulation Tools, Python, Perl, networking technologies)

Location: Salt Lake City, Utah

Duration: Full Time

Salary: Excellent Compensation with benefits + relocation + interview travel + 401K

SKILLS: C++, IP, Ethernet, and wireless communications,open source networking technologies, Open source Linux development, GNU Radio, virtualization, Docker, scripting, git, testing and automation, Machine learning, data analysis, compilers, Cassandra, Kafka, MongoDB, Network Modeling, Simulation Tools, Python, Bash, perl, Networking Certifications from Cisco and/or Juniper.

Overview

For our prestigious client, we are seeking a Software Engineer with a background and experience in embedded real-time software development and networking. This position requires an individual to support existing, new and next generation communications applications. An engineer in this position is responsible for leading projects, developing and managing schedules, providing responses to bid and proposals, deriving software requirements, adding features to current designs and creating the design and developing applications implementing these requirements.

Qualifications
  • 4+ years of experience in embedded software engineering
  • BS/MS in Computer Science, Computer Engineering or EE with embedded software experience
Additionally, knowledge and experience in at least some of the following is preferable
  • Networking technologies in routing, switching, quality of service, the OSI model, Quagga, and emerging MANET technologies
  • Knowledge of protocols such as RIP, OSPF, IP, Ethernet, and wireless communications
  • Open source networking technologies (network stack, open flow, etc)
  • Low-level drivers and hardware interfaces such as PCIe
  • Software defined systems, especially software-defined radios (e.g. GNU Radio)
  • DevOps technologies such as virtualization, Docker, scripting, git, testing and automation
  • Agile development methodology and Atlassian tools
  • Machine learning, data analysis, and advanced algorithm design and development
  • A very strong depth of knowledge in programming languages, compilers, and application execution
  • Scalable high performance data management technologies (Cassandra, Kafka, MongoDB)
  • Experience with Network Modeling and Simulation Tools both discrete event and real-time (QualNet, OPNet, Emane, NS3)
  • Scripting Languages such as Python, Bash, Perl
  • Networking Certifications from Cisco and/or Juniper
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