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Machine Learning Jobs in Cambridge, MD (NOW HIRING)

Sabre Systems, LLC

Data Analytics Engineer

Lexington Park, MD · On-site

$111K - $133K/yr

... machine learning, AI) • Experience building/maintaining/automating dashboards for users • Military background a plus Company : Sabre Systems LLC is a quality driven, customer focused business ...

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Showing results 21-40

All JobsMachine Learning JobsMachine Learning Jobs in Cambridge, MD

Machine Learning information

See Cambridge, MD salary details

$24K

$40K

$82.7K

How much do machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning in Cambridge, MD is $40,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,500.00 and $43,200.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What cities near Cambridge, MD are hiring for Machine Learning jobs?

Cities near Cambridge, MD with the most Machine Learning job openings:

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Cambridge, MD as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,017 per year, or $19.2 per hour.

AI/ML Engineer & Data Management Specialist

Sabre Systems LLC

Patuxent River, MD • On-site

$111K - $133K/yr

Full-time

Re-posted 7 days ago

Job description

Responsibilities
Sabre Systems is seeking an AI/ML Engineer & Data Management Specialist (Journeyman) to support the Combat Survivability Division's Low Observables (LO) Life Cycle Management (LCM) mission at NAS Patuxent River in Lexington Park, MD. This role combines advanced data science, artificial intelligence, machine learning, and comprehensive data management responsibilities to strengthen LO sustainment performance across multi-level security environments. This is an in-person on-site position at NAS Patuxent River and is not eligible for telework. Anticipated Travel requirements are less than 10%.
The selected candidate will be responsible for but not limited to:
  • Effectively and efficiently operate and communicate across multi-level security environments.
  • Coordinate, gather, clean, and integrate technical and programmatic data from multiple program and project offices.
  • Work closely with data management specialists to structure, maintain, and ensure the integrity of large, complex, multi-source datasets.
  • Apply artificial intelligence and machine learning models (e.g., CAPRA, GenAI) to support gap analyses, business case analyses, and readiness assessments.
  • Develop and refine prompts to optimize the performance and relevance of AI-generated outputs for project needs.
  • Build, validate, and interpret predictive models to assess LO sustainment performance, forecast readiness trends, and identify capability or resource gaps.
  • Manage, maintain, and optimize relational and/or non-relational databases to ensure data availability, reliability, and performance.
  • Design, implement, and manage Extract-Transform-Load (ETL) processes, validation routines, and data quality checks to maintain high data integrity.
  • Create clear, concise data visualizations, summaries, and technical reports to communicate findings to engineers, logisticians, and leadership.
  • Ensure all data management and analysis activities comply with DoD/NAVAIR security, privacy, and regulatory requirements, including access controls and audit trails.

Qualifications
Minimum Qualifications
  • Accredited BA or BS degree relevant to data science, analytics, data management, or information technology.
  • At least three (3) years of recent and relevant experience in data science, analytics, or data management.
  • Demonstrated experience delivering results in multi-level security environments.
  • Experience in data analysis, predictive modeling, or applied statistics in a technical or programmatic setting.
  • Hands-on experience utilizing artificial intelligence and machine learning models, including prompt engineering for GenAI or similar tools.
  • Ability to organize, clean, and maintain large, multi-source datasets and ensure high data integrity.
  • Proficiency in data integration and Extract-Transform-Load (ETL) processes, including data migration between systems.
  • Ability to create clear, concise, and actionable data visualizations using tools such as Tableau, Power BI, or similar tools.
  • Familiarity with data security, privacy, and compliance requirements in DoD or government environments.
  • Strong interpersonal and communication skills for working with multi-disciplinary teams, including engineers, logisticians, program managers, and data specialists.
  • Clearance: Active TS with SAP eligibility required; SCI eligibility desired; optimal qualifications include existing C-Net access and SCI Access Indoctrination; Must be a U.S. Citizen

Desired Qualifications
  • Direct experience supporting ACAT-level programs.
  • Advanced degree in a relevant discipline.
  • Direct experience working with defense, aerospace, or government technical/programmatic data.
  • Experience with Python, R, SQL, or similar languages for data manipulation and analysis.
  • Experience automating data workflows or data management tasks using scripting languages or workflow automation tools.
  • Demonstrated experience managing and maintaining large datasets in technical or programmatic environments.
  • Experience developing and implementing data quality assurance or auditing processes.
  • Ability to create and maintain metadata repositories, data dictionaries, and documentation to support data transparency and usability.

#LI-CS3
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: $162,200.00 - $162,200.00
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/.

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