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Senior Machine Learning Engineer Jobs in Virginia

Stellent IT LLC

Machine Learning Engineer

Arlington, VA · On-site

$130K/yr

Machine Learning Engineer Location: Arlington, VA Duration: FTE/No C2C Role: Design, develop, and maintain the product ionization of machine learning, deep learning, generative AI, large language ...

Capital One

Sr. Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

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Senior Machine Learning Engineer information

See Virginia salary details

$59K

$125.5K

$181.9K

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

As of Jul 7, 2026, the average yearly pay for senior machine learning engineer in Virginia is $125,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $142,300.00 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 are the most commonly searched types of Machine Learning Engineer jobs in Virginia? The most popular types of Machine Learning Engineer jobs in Virginia are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Virginia? For Senior Machine Learning Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Virginia look for? The top searched job categories for Senior Machine Learning Engineer jobs in Virginia are:
What cities in Virginia are hiring for Senior Machine Learning Engineer jobs? Cities in Virginia with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Stellent IT LLC

Arlington, VA • On-site

$130K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Dear Candidate,

My name is Manisha Singh and I am a recruiter at Stellent IT LLC. I am reaching out to you on an exciting job opportunity with one of our clients.

Should you be interested, please send me a copy of your resume in word format along with your LinkedIn URL.

NOTE: We have direct client (Oil & Gas domain company) located in Arlington, VA that is currently looking to fill an open full-time (PERM) Machine Learning Engineer position. This role will require 100% onsite support.

The budgeted salary cap in place for this role is $130,000. s, and TN-1 visa candidates are acceptable and relocation support will be provided.

Position: Machine Learning Engineer

Location: Arlington, VA

Duration: FTE/No C2C

Role: Design, develop, and maintain the product ionization of machine learning, deep learning, generative AI, large language models, simulation, and optimization algorithms. This includes building pipelines for training and deploying deep learning and other machine learning algorithms and enabling models to run efficiently in production. The main data engineering work will be done in Databricks and PySpark.

Required: 5 years of machine learning engineering, software engineering, or data science experience. In addition, a Bachelor's degree in a quantitative field of study is required.

Preferred:

Masters in a quantitative field of study.

Experience with the Azure, AWS, or other cloud ecosystems.

Experience in building secure data processing pipelines.

Proficient in utilizing data lakes, CI/CD pipelines, Databricks, Unity Catalog, and Git.

Experience working with streaming.

Expertise in building machine learning solutions using cloud data services.

Exceptional skills in data processing languages such as SQL, Python, or Scala.

Exceptional skills in feature engineering, model optimization, and parameter tuning.

Once again, this is a 100% fully onsite position.

Manisha Singh
Technical Recruiter

E:
T:
A: 505 Knolle Court, Saint Augustine| FL 32092

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About Stellent IT

Sourced by ZipRecruiter

Stellent IT, based in St Augustine, Florida, USA, is a renowned company in the IT sector whose primary focus is providing top-tier IT consulting and staffing services. Stellent IT's expertise lies not just in fulfilling IT staffing needs but in offering comprehensive technological solutions that enhance and drive business performance. Despite the limited information about their founding history, the company has earned a name for itself in the IT industry due to its commitment to quality and consistent delivery. With a mission centered around helping businesses efficiently navigate the IT landscape by providing strategic technology-inspired solutions, Stellent IT prides itself as a leader in its field.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

St Augustine, FL, US

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