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Machine Learning Engineer Jobs in Hawaii (NOW HIRING)

SMX

Assessments Data Scientist (Temporary)

Aiea, HI

Hands-on experience with development and implementation of machine learning (ML) models. * Basic proficiency in mathematics and statistics. * Experience with general-purpose programming languages (e ...

KBR

Data Engineer with Security Clearance

Honolulu, HI · On-site

$113K - $135K/yr

Title: Data Engineer Belong. Connect. Grow. with KBR! KBR's National Security Solutions team ... machine learning, and operations research to provide robust and flexible testing and evaluation ...

Cymertek

Cloud Analytic Software Engineer

Honolulu, HI · On-site

$59.25 - $77/hr

Cloud Analytic Software Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please ... Experience with machine learning frameworks in cloud environments * Knowledge of serverless ...

Booz Allen Hamilton

Zero Trust Engineer

Waipahu, HI · On-site

$99 - $225/hr

Zero Trust Engineer As a Zero Trust Engineer on our project, you'll coordinate with a dynamic team ... Experience with innovative cybersecurity capabilities, including A & O, AI and machine learning ...

SMX

Assessments Data Scientist (Temporary)

Aiea, HI · On-site

$103K - $125K/yr

Hands-on experience with development and implementation of machine learning (ML) models. * Basic proficiency in mathematics and statistics. * Experience with general-purpose programming languages (e ...

SMX

Assessments Junior Data Analyst (part-time)

Aiea, HI · On-site

$17 - $30/hr

Hands-on experience with development and implementation of machine learning (ML) models * Basic proficiency in mathematics and statistics * Experience with general-purpose programming languages (eg ...

New

Cymertek Corporation

Analytic Cloud Developer

Honolulu, HI · On-site

$55.50 - $76/hr

Cymertek Corporation is seeking an innovative Analytic Cloud Developer to join their team. In this ... with machine learning • Understanding of big data frameworks • Strong collaboration and ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

Booz Allen Hamilton

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Honolulu, HI · On-site

$99K - $225K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

Booz Allen Hamilton

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

Booz Allen Hamilton

Data Engineer

Honolulu, HI · On-site

$113K - $136K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Hawaii

Machine Learning Engineer information

See Hawaii salary details

$32.7K

$133.8K

$201K

How much do machine learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning engineer in Hawaii is $133,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $161,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Hawaii?

The most popular types of Machine Learning Engineer jobs in Hawaii are:

What are popular job titles related to Machine Learning Engineer jobs in Hawaii?

For Machine Learning Engineer jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Hawaii look for?

The top searched job categories for Machine Learning Engineer jobs in Hawaii are:

What cities in Hawaii are hiring for Machine Learning Engineer jobs?

Cities in Hawaii with the most Machine Learning Engineer job openings:

What are popular job titles related to Machine Learning Engineer jobs in HI?

For Machine Learning Engineer jobs in HI, the most frequently searched job titles are:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Hawaii as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $133,786 per year, or $64.3 per hour.

Assessments Data Scientist (Temporary)

SMX

Aiea, HI

Temporary

Posted 21 days ago

Job description

The Assessments Data Scientist supports SOCPAC SOJ54 initiatives by developing and implementing AI/ML-enabled capabilities to enhance operational planning and decision-making. This role focuses on transforming operational requirements into data-driven solutions through advanced analytics, machine learning models, and data visualization tools. The position operates within a fast-paced, cross-functional environment, integrating technical expertise with mission-focused problem solving to support Department of Defense priorities. Secret Clearance required, must be able to obtain TS/SCI

This position requires an active DoD Top Secret clearance with SCI eligibility which requires US citizenship for work on DoD contracts.

This position is working onsite in Aiea, Hawaii.

Essential Duties & Responsibilities

  • Develop, design, and document technical data solutions that translate operational requirements into data-driven capabilities.
  • Build, train, and implement machine learning and predictive models to support operational planning and analysis.
  • Formulate and execute end-to-end data modeling processes, including data collection, preprocessing, analysis, and delivery of analytical outputs.
  • Structure and preprocess datasets to extract actionable insights and prepare data for modeling and visualization. 
  • Develop analytical dashboards and visualization tools to support decision-making and communicate findings effectively.
  • Collaborate with cross-functional stakeholders, including planners, operators, and technical teams, to refine requirements and deliver solutions.

Required Skills & Experience 

  • Hands-on experience with development and implementation of machine learning (ML) models.
  • Basic proficiency in mathematics and statistics.
  • Experience with general-purpose programming languages (e.g., Python, C++).
  • Skilled in data manipulation, processing, and analysis.
  • Familiarity with building secure software using modern security principles.
  • Strong collaboration and interpersonal communication skills.
  • Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics). 
  • Minimum of 5 years of hands-on experience in big data analysis and data-driven solution development.
  • Must possess an active DoD Top Secret clearance with SCI eligibility (U.S. citizenship required).

Desired Skills & Experience 

  • SOF experience
  • Joint experience
  • SOCPAC/INDOPACOM experience

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About SMX

Sourced by ZipRecruiter

Our tradition of delivering innovative, technical solutions dates back to 1995, however, you may know us better by one of our legacy company names: Trident Technologies, Smartronix, Datastrong or C2S Consulting Group. With the support of OceanSound Partners, our private equity investment sponsor, we began operating as one business starting in 2019 and became SMX in 2021. We operate in close proximity to our clients around the globe and have core locations in Alabama, California, DC Metro, Florida, Hawaii, Maryland, and Massachusetts. Today, as SMX, we are one team and together empower government and commercial enterprises to become more effective, innovative, and resilient, no matter what challenges they face.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Hollywood, MD, US

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