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Executive Full Stack Machine Learning Engineer Jobs in Cambridge, MD

AI Automation Engineer -Remote

Seaford, DE · On-site

$202K - $234K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent ...

CHIEF ENGINEER

Hollywood, MD · On-site

$200K - $250K/yr

ENGINEERING REPORTS TO: CEO CLASSIFICATION:EXEMPT CLEARANCE: SECRET LOCATION: HOLLYWOOD, MD PRIMARY ... Software design and testing from static, functional, and full system level * Electrical hardware ...

Electrical Controls Systems Engineer

Chester, MD · On-site

$78K - $105K/yr

Industrial Machinery | Electromechanical Equipment | Custom Automation | Robotics | Packaging | OEM ... Access to continuous learning and mentorship from senior engineers. If you are passionate about ...

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Executive Full Stack Machine Learning Engineer information

See Cambridge, MD salary details

$41.8K

$126.6K

$179K

How much do executive full stack machine learning engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for executive full stack machine learning engineer in Cambridge, MD is $126,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $148,500.00 per year, depending on experience, location, and employer.

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

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

Data Analytics Engineer

Data Analytics Engineer

Sabre Systems LLC

Lexington Park, MD

$111K - $133K/yr

Full-time

Posted 10 days ago


Job description

Responsibilities

The NAVAIR Digital Department, Command Data Officer Team is seeking a Data Analytics Engineer to work with our diverse operational and customer stakeholders to identify, help acquire, process, and when necessary, visualize and analyze our diverse data sources. The successful candidate will work across diverse technical and operational customers on a number of mission-critical, high-visibility projects to contribute foundational data assets for our analytics team.

Primary Responsibilities:

  • Work with data engineers & developers to acquire, process, and format data both at source and post-extraction to create analytical products
  • Work hand-in-hand with data analysts & data scientists to ready diverse data sources for analytics work
  • Liaise with business and operational stakeholders and customers to understand business needs, metrics, and goals and objectives. Translate and map user requirements to underlying data sources and develop plans for how those data sources can be extracted
  • Work with data scientists, analysts, architects, and business stakeholders to develop thorough documentation for data sources and pipelines (e.g. data dictionaries, flow models, etc)

Qualifications
  • Bachelor’s degree in an information technology related field is required, Master’s degree is preferred.
  • Three (3) years of related experience is required
  • Thorough working knowledge of at least two analytical programming languages (R, Python, Scala, SQL)
  • Working knowledge of code repositories & version control (Git)
  • Basic working knowledge at least one BI/visualization tool (Qlik, Tableau, Power BI)
  • Technical and business domain-focused customer experience
  • A Security + certification is required within 90 days of higher
  • An active DoD Secret Clearance or higher is required
  • Selected candidate must pass a background investigation

Desired Skills

  • Experience working with Cybersecurity / RMF
  • Knowledge of advanced analytics principals (statistical modeling, machine learning, AI)
  • Experience building/maintaining/automating dashboards for users
  • Military background a plus

Compensation Statement
At Sabre Systems, LLC, compensation is based on factors such as location, qualifications, experience, and contract-specific requirements; however, final compensation will be determined by individual qualifications and applicable contract terms. The general salary range for this position is as follows: $80,000.00 - $125,000.00
Refer & Earn: Employee Referral Bonus Eligibility
A Level 3 Employee Referral Bonus applies to this requisition for qualifying referrals. At Sabre Systems, we value great talent and encourage our employees to refer exceptional candidates. If you have any questions about the referral policy or this position, please contact the Recruiting team.
Sabre Overview

Sabre Systems, LLC, has been providing innovative technological solutions and services for Department of Defense, Federal Civilian, and commercial customers for more than 35 years. We support the ever-evolving areas of advanced communication technologies, cyber, systems and software engineering, and digital transformation.  

With over three decades in business, Sabre Systems, LLC remains committed to our small business values and a people-first philosophy. We foster a welcoming, inclusive culture that values diverse perspectives and encourages open communication. Our collaborative environment supports continuous learning and professional growth at all levels. We prioritize the health, well-being, and success of our employees, offering comprehensive, evolving benefits designed to meet their diverse needs. Join us and be part of a thriving, people-driven culture.

We respect the unique perspectives that a diverse workforce of minorities, women, individuals with disabilities, and protected veterans brings not only to our company, but also to our customers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity and sexual orientation), national origin, age, disability or genetic information.

 

EEO Minorities/Females/Disability/Veterans; VEVRAA Federal Contractor

Beware of employment scams—Sabre Systems will never request payment, extend offers without an interview, or contact you from an email that doesn’t end in @sabresystems.com; always apply directly at https://careers.sabresystems.com/. 

Qualifications:
  • Bachelor’s degree in an information technology related field is required, Master’s degree is preferred.
  • Three (3) years of related experience is required
  • Thorough working knowledge of at least two analytical programming languages (R, Python, Scala, SQL)
  • Working knowledge of code repositories & version control (Git)
  • Basic working knowledge at least one BI/visualization tool (Qlik, Tableau, Power BI)
  • Technical and business domain-focused customer experience
  • A Security + certification is required within 90 days of higher
  • An active DoD Secret Clearance or higher is required
  • Selected candidate must pass a background investigation

Desired Skills

  • Experience working with Cybersecurity / RMF
  • Knowledge of advanced analytics principals (statistical modeling, machine learning, AI)
  • Experience building/maintaining/automating dashboards for users
  • Military background a plus
Education:UNAVAILABLEEmployment Type: FULL_TIME