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Remote Senior Machine Learning Engineer Jobs in Honolulu, HI

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 ...

Showing results 21-40

Remote Senior Machine Learning Engineer information

See Honolulu, HI salary details

$74.6K

$141.5K

$189.6K

How much do remote senior machine learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote senior machine learning engineer in Honolulu, HI is $141,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $159,500.00 per year, depending on experience, location, and employer.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

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

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Honolulu, HI?

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

What job categories do people searching Remote Senior Machine Learning Engineer jobs in Honolulu, HI look for?

The top searched job categories for Remote Senior Machine Learning Engineer jobs in Honolulu, HI are:

Cybersecurity & Risk Management Framework Specialist

Booz Allen Hamilton, Inc.

Honolulu, HI • On-site, Remote

$69K - $158K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 14 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

10th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0242623
Location:
Honolulu,HI,US
Share job via:
Share
Cybersecurity & Risk Management Framework Specialist
The Opportunity:
Manage the application of analytical risk management principles that enable organizations to achieve mission assurance by preparing for, preventing, mitigating, responding to, and recovering from emergencies. Apply advanced skills, extensive technical expertise, and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction. Mentor and supervise team members. Support enterprise cybersecurity governance, risk management, compliance, and innovation activities for Department of War (DoW) information systems and networks. Assume responsibility for developing cybersecurity strategies, managing the Risk Management Framework (RMF) process, ensuring regulatory compliance, and supporting mission partners with cybersecurity risk mitigation and emerging threat awareness. Work across multiple cybersecurity functions, including governance, RMF operations, compliance monitoring, and cyber threat innovation initiatives.
Join us. The world can't wait.
You Have:
  • 5+ years of experience with IT operations or cybersecurity
  • Experience in a cybersecurity compliance, operations, or engineering leadership role
  • Experience supporting cybersecurity compliance, audits, or inspections
  • Ability to work with and guide senior leaders, including CISO, CIO, CTO, and executives to ideate, build, and execute cybersecurity capability maturation
  • Ability to collaborate with project and proposal teams to incorporate cybersecurity solutions and develop high quality implementation plans and roadmaps
  • Ability to author technical documentation, whitepapers, and blogs on leading cybersecurity topics and concepts
  • TS/SCI clearance
  • HS diploma or GED
  • Information Security Certification such as CEH, CISM, CCSP, CCSK, CISSP, or CompTIA Security+ Certification

Nice If You Have:
  • Experience working on defense or national security issues in the Indo-Pacific region
  • Experience working at a DoW Command-level Headquarters
  • Experience with NIST 800-53 and DoD 8500 or 8510
  • Experience selecting, designing, and implementing security tools and capabilities for large, complex federal or commercial organizations
  • Experience with Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP)
  • Knowledge of the Enterprise Mission Assurance Support Service (eMASS) and Mission Partner Engagement (MPE)
  • Knowledge of innovative cybersecurity capabilities, including AI and machine learning, Next-Generation Firewall (NGFW), and Big Data
  • Ability to support the development of cybersecurity policies or governance frameworks
  • Possession of excellent verbal and written communication skills
  • Bachelor's degree

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,400.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914