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Senior Machine Learning Engineer Jobs in Broad Run, VA

Saic

Machine Learning Engineer

Chantilly, VA · On-site

$200 - $240/hr

Description SAIC is seeking a skilled Machine Learning Engineer to design, develop, and deploy machine learning (ML) models tailored to diverse applications, while delivering innovative solutions ...

Elder Research Inc

Machine Learning Engineer

Chantilly, VA · On-site

$140 - $180/hr

... Machine Learning Engineer to join our team in Chantilly, VA. Build and deploy AI agents to both automate and optimize labor intensive workflows, as well as empowering the human workforce to discover ...

Elder Research

Machine Learning Engineer

Chantilly, VA · On-site

$140 - $190/hr

... Machine Learning Engineer to join our team in Chantilly, VA. Build and deploy AI agents to both automate and optimize labor intensive workflows, as well as empowering the human workforce to discover ...

J5 Consulting

Machine Learning Engineer

Herndon, VA · On-site

$117K - $141K/yr

They are seeking a Machine Learning Engineer to provide analytical support for compliance with Federal data standards, data cleansing, transformation, and data migration planning. Responsibilities ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Broad Run, VA

Senior Machine Learning Engineer information

See Broad Run, VA salary details

$57.5K

$122.4K

$177.4K

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

As of Aug 14, 2026, the average yearly pay for senior machine learning engineer in Broad Run, VA is $122,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $138,800.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Broad Run, VA are hiring for Senior Machine Learning Engineer jobs?

Cities near Broad Run, VA with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Broad Run, VA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $122,381 per year, or $58.8 per hour.

Machine Learning Engineer

Saic

Chantilly, VA • On-site

$200 - $240/hr

Other

Posted 8 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th of 223 rated it services

Job description

Description

SAIC is seeking a skilled Machine Learning Engineer to design, develop, and deploy machine learning (ML) models tailored to diverse applications, while delivering innovative solutions under tight deadlines. The ideal candidate will possess expertise in Docker and containerization, with the ability to build and deploy ML models and tools in offline, standalone environments.

Key Responsibilities
  • Research and evaluate open-source ML models, fine-tuning them to meet specific operational needs
  • Design and develop custom Python-based applications (desktop and web-based) for hosting ML models
  • Experience with web-based platforms such as ComfyUI, Gradio, and Streamlit is preferred
  • Apply a solid understanding of digital signal processing (DSP) to build effect chains that transform signals to achieve desired outcomes
  • Provide rapid responses to evolving operational requirements, executing agile development to deliver customized solutions
  • Collaborate with a multidisciplinary team to address mission-critical objectives through innovative approaches
  • Leverage data science techniques to evaluate datasets, identify trends, and inform decision-making
Required Skills & Experience
  • Proficiency in Docker for building and managing containers
  • Strong knowledge of Python programming with a focus on ML application development
  • Familiarity with DSP techniques and their practical application in signal transformation
  • Experience developing and hosting ML models using both desktop and web-based interfaces
  • Ability to work effectively in a fast-paced environment, responding to ad-hoc requests with innovative problem-solving

Join our dynamic team to contribute cutting-edge ML solutions for high-impact projects. Your work will directly support critical mission operations in a challenging, fast-evolving environment.

Qualifications Required
  • Must be a US Citizen
  • Must have an active TS/SCI with Poly clearance
  • Bachelor's degree in computer science, math, data science or another technical/scientific field
  • Expertise with Python
    • ML Frameworks (pytorch, tensorflow, onnx)
    • Model hosting frameworks (ComfyUI, steamlit, gradio, FastAPI)
    • Data science libraries (Pandas, Numpy, SciKit-learn, Scipy, matplotlib/seaborn)
    • App Dev Frameworks (PyQt, tkinter)
  • Experience with Docker
  • Familiarity with Linux
  • Familiarity with Windows OS
  • Experience with version control software (Git)
Desired
  • Audio hardware familiarity
  • Audio engineering/digital processing (DSP) familiarity
  • Kubernetes familiarity
    • Rancher
    • Longhorn
    • ArgoCD
  • Matlab
  • C++ (Cython wrapper around C++ application)

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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