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Machine Learning Contract Remote Jobs in Honolulu, HI

Vultus Inc

Machine Learning Engineer

Honolulu, HI · On-site +1

$110K - $145K/yr

Machine Learning EngineerJob Summary We are looking for a talented Machine Learning Engineer to ... Experience 3-6 Years Employment Type Full-Time Work Location Remote / Hybrid / On-site Salary Range ...

Booz Allen Hamilton, Inc.

OSINT Data Scientist

Honolulu, HI · On-site +1

$77K - $176K/yr

Knowledge of machine learning, AI, or Natural Language Processing (NLP) * Knowledge of text mining ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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 ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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 ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Booz Allen Hamilton, Inc.

Identity Engineer

Honolulu, HI · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0240159 Location: Honolulu,HI,US Share job via: Share Identity ... machine identity and identity for Agentic AI. You will Interface with key stakeholders and users ...

All JobsMachine Learning Contract JobsMachine Learning Contract Remote JobsMachine Learning Contract Remote Jobs in Honolulu, HI

Machine Learning Contract Remote information

See Honolulu, HI salary details

$25.2K

$42.1K

$86.9K

How much do machine learning contract remote jobs pay per year?

As of Aug 1, 2026, the average yearly pay for machine learning contract remote in Honolulu, HI is $42,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote machine learning contractors, and how can they be effectively addressed?

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

What are the key skills and qualifications needed to thrive as a Machine Learning Contractor in a remote role, and why are they important?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

What are machine learning contract remote jobs?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

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

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

What are popular job titles related to Machine Learning Contract Remote jobs in Honolulu, HI? For Machine Learning Contract Remote jobs in Honolulu, HI, the most frequently searched job titles are:
What job categories do people searching Machine Learning Contract Remote jobs in Honolulu, HI look for? The top searched job categories for Machine Learning Contract Remote jobs in Honolulu, HI are:
Machine Learning Contract Remote jobs near you
Infographic showing various Machine Learning Contract Remote job openings in Honolulu, HI as of June 2026, with employment types broken down into 1% As Needed, 67% Full Time, 27% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $42,056 per year, or $20.2 per hour.

Machine Learning Engineer

Vultus Inc

Honolulu, HI • On-site, Remote

$110K - $145K/yr

Full-time

Posted 11 days ago

Job description

Machine Learning EngineerJob Summary

We are looking for a talented Machine Learning Engineer to design, develop, and deploy scalable machine learning models that solve complex business problems. The ideal candidate should have experience in data preprocessing, model development, feature engineering, and deploying ML solutions in production environments. You will work closely with data scientists, software engineers, and product teams to build intelligent applications.

Key Responsibilities
  • Design, build, and deploy machine learning models for predictive analytics and automation.
  • Collect, clean, and preprocess structured and unstructured datasets.
  • Perform feature engineering and model optimization to improve performance.
  • Train, validate, and evaluate machine learning models using industry best practices.
  • Deploy ML models using cloud platforms and containerization technologies.
  • Monitor model performance and retrain models as needed.
  • Collaborate with cross-functional teams to understand business requirements.
  • Develop APIs and services for model inference.
  • Document model architecture, experiments, and deployment processes.
  • Stay updated with the latest advancements in AI and machine learning technologies.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 3–6 years of experience in Machine Learning or Artificial Intelligence.
  • Strong programming skills in Python.
  • Experience with supervised and unsupervised learning algorithms.
  • Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of statistics, probability, and linear algebra.
  • Experience with SQL and NoSQL databases.
  • Familiarity with REST APIs and microservices architecture.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Understanding of CI/CD pipelines for ML deployment.
Primary Skills
  • Python
  • Machine Learning
  • Deep Learning
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • Feature Engineering
  • Model Deployment
  • Data Preprocessing
  • SQL
  • Docker
  • Kubernetes
  • Git
Secondary Skills
  • NLP (Natural Language Processing)
  • Computer Vision
  • MLOps
  • Apache Spark
  • MLflow
  • Airflow
  • Kafka
  • Azure ML
  • AWS SageMaker
  • Google Vertex AI
  • FastAPI
  • Flask
Preferred Qualifications
  • Experience with large-scale ML model deployment.
  • Knowledge of Generative AI and Large Language Models (LLMs).
  • Experience with vector databases such as Pinecone, Milvus, or FAISS.
  • Familiarity with prompt engineering and Retrieval-Augmented Generation (RAG).
  • Experience with Agile/Scrum methodologies.
Experience

3–6 Years

Employment Type

Full-Time

Work Location

Remote / Hybrid / On-site

Salary Range

$110,000 – $145,000 per year (Based on experience and location)