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Senior Full Stack Machine Learning Engineer Jobs in Washington, DC

HMG America

Senior Full Stack Developer

Mclean, VA

Senior Full Stack Developer Location: Mclean,VA Duration: FTE * We are seeking a Senior Full Stack Developer with strong backend expertise in Java 17 and Spring Boot, along with solid frontend skills ...

Amgen

Senior Machine Learning Engineer

Washington, DC · On-site

$118K - $162K/yr

Senior Machine Learning Engineer What you will do Let's do this. Let's change the world. As part of ... Demonstrated experience building full-stack AI-powered applications that move beyond ...

Palnar

Sr. Full Stack Developer

Mclean, VA · On-site

Job Title: Sr Full stack Developer (Nodejs, Python, React /Vue.JS, AWS) Location: Richmond, VA/ McLean, VA (Hybrid onsite) Duration: ~12 months Team Info : Associate Exp Technology Focused on ...

CGI Inc.

Senior Full Stack Developer

Fairfax, VA · On-site

Senior Full Stack Developer Category: Software Development/ Engineering Main location: United ... Learning opportunities and tuition assistance . Wellness and Well-being programs #CGIFederalJob #LI ...

Zetier

Full-Stack Engineer

Arlington, VA · Hybrid

Senior Full-Stack Engineer Zetier is seeking a senior full-stack engineer to build modern, secure, and mission-focused software supporting advanced cybersecurity, reverse engineering, and defense ...

Zetier

Full-Stack Engineer

Arlington, VA · On-site

Senior Full-Stack Engineer Zetier is seeking a senior full-stack engineer to build modern, secure, and mission-focused software supporting advanced cybersecurity, reverse engineering, and defense ...

Aristotle

Senior Full-Stack Developer

Washington, DC · On-site

$130K - $170K/yr

We are seeking a Senior Full-Stack Developer with a strong background in building and architecting ... Experience with AI/ML techniques such as machine learning pipelines, natural language processing ...

Aristotle

Senior Full-Stack Developer

Washington, DC · On-site

$130K - $170K/yr

We are seeking a Senior Full-Stack Developer with a strong background in building and architecting ... Experience with AI/ML techniques such as machine learning pipelines, natural language processing ...

Aristotle

Senior Full-Stack Developer

Washington, DC

$130K - $170K/yr

We are seeking a Senior Full-Stack Developer with a strong background in building and architecting ... Experience with AI/ML techniques such as machine learning pipelines, natural language processing ...

Navtech, Inc.

Senior Full Stack Developer

Mclean, VA · On-site

I have an opportunity for a "Senior Full Stack Developer ( UI Focused )" - (McLean, VA - Hybrid) and I am looking for a candidate who can join Immediately if you are interested, reply to me with your ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site +1

... stacks, and constantly challenge each other to grow and improve. If cutting edge data science ... This position requires mid to senior level of experience, a passion for mission support, and a ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site

... stacks, and constantly challenge each other to grow and improve. If cutting edge data science ... This position requires mid to senior level of experience, a passion for mission support, and a ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

... stacks, and constantly challenge each other to grow and improve. If cutting edge data science ... This position requires mid to senior level of experience, a passion for mission support, and a ...

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All JobsFull Stack Machine Learning Engineer JobsSenior Full Stack Machine Learning Engineer JobsSenior Full Stack Machine Learning Engineer Jobs in Washington, DC

Senior Full Stack Machine Learning Engineer information

See Washington, DC salary details

$50.4K

$152.6K

$215.8K

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

As of Jun 14, 2026, the average yearly pay for senior full stack machine learning engineer in Washington, DC is $152,641.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,700.00 and $179,000.00 per year, depending on experience, location, and employer.

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

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Washington, DC? The most popular types of Full Stack Machine Learning Engineer jobs in Washington, DC are:
Senior Full Stack Machine Learning Engineer jobs near you

Senior Full Stack Developer

HMG America

Mclean, VA

Other

Posted 4 days ago

Job description

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Senior Full Stack Developer in Mclean,VA. Below is the detailed job description.

Title: Senior Full Stack Developer

Location: Mclean,VA

Duration: FTE

Job Description:

  • We are seeking a Senior Full Stack Developer with strong backend expertise in Java 17 and Spring Boot, along with solid frontend skills in Angular and TypeScript.
    The ideal candidate will have proven experience building and operating enterprise-grade microservices at scale.
    This role requires hands-on experience with cloud modernization, containerization, CI/CD, observability, and production incident troubleshooting.
    Experience in the mortgage domain, particularly in loans and appraisals, is preferred.
    Exposure to Generative AI and prompt engineering is a plus.

    Experience and Qualifications
    10+ years of hands-on full stack development experience delivering enterprise-grade applications.
    Strong backend development expertise in Java 17, Spring Boot, and REST APIs.
    Solid frontend development experience with Angular, TypeScript, HTML5, and CSS3.
    Experience building and managing microservices in distributed and cloud-native environments.
    Hands-on knowledge of Docker, Kubernetes, CI/CD pipelines, and observability practices.
    Experience with performance engineering and troubleshooting production incidents.
    Familiarity with PostgreSQL, MongoDB, Hibernate, and/or OpenJPA.
    Experience in the mortgage domain is preferred.
    Exposure to Generative AI and prompt engineering is a plus.

    Key Responsibilities

    • Backend Engineering
      Design, develop, and maintain scalable microservices using Java 17, Spring Boot, and REST APIs.
      Implement persistence layers using Hibernate and/or OpenJPA with PostgreSQL and MongoDB.
      Write clean, secure, testable, and maintainable code following established design patterns and best practices.
      Define and maintain API contracts using JSON and XML.
      Manage service configuration using YAML.
    • Frontend Engineering
      Build responsive and modular user interface components using Angular, TypeScript, HTML5, and CSS3.
      Integrate frontend applications with backend REST services.
      Ensure application performance, usability, and maintainability standards are met.
      Collaborate with UX and product teams to deliver features across MVPs and future releases.
      DevOps, CI/CD, and Platform Enablement
      Build and maintain CI/CD pipelines using Jenkins, Maven, and Gradle.
      Containerize services using Docker and deploy/manage workloads on Kubernetes.
      Support deployments on application servers such as Tomcat, where applicable.
      Work with source control and code review processes using Bitbucket.

    • Nice-to-Have Skills
      Experience with cloud-native patterns and distributed systems.
      Knowledge of observability, monitoring, and incident management practices.
      Exposure to Generative AI use cases and prompt engineering techniques.
      Domain knowledge in mortgage systems, especially loans and appraisals.

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