ZipRecruiter

Log In

1

Machine Learning Engineer Jobs in Laurel, MD (NOW HIRING)

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 ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...

Booz Allen Hamilton

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

R0242757 Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to ...

next page

Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Laurel, MD

Machine Learning Engineer information

See Laurel, MD salary details

$31.3K

$128.1K

$192.5K

How much do machine learning engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for machine learning engineer in Laurel, MD is $128,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,000.00 and $154,200.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Laurel, MD? The most popular types of Machine Learning Engineer jobs in Laurel, MD are:
What are popular job titles related to Machine Learning Engineer jobs in Laurel, MD? For Machine Learning Engineer jobs in Laurel, MD, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Laurel, MD look for? The top searched job categories for Machine Learning Engineer jobs in Laurel, MD are:
What cities near Laurel, MD are hiring for Machine Learning Engineer jobs? Cities near Laurel, MD with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Laurel, MD as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 2% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $128,098 per year, or $61.6 per hour.
Machine Learning Engineer

Machine Learning Engineer

Stellent IT LLC

Arlington, VA • On-site

$130K/yr

Other

Posted 4 days ago

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

Stellent IT logo

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

Social media

Facebook

View All Stellent IT Jobs

Apply