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Junior Machine Learning Engineer Jobs in Maryland

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

New

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

New

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

New

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

New

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

New

Showing results 41-60

Junior Machine Learning Engineer information

See Maryland salary details

$32.5K

$69.7K

$106.3K

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

As of Sep 1, 2026, the average yearly pay for junior machine learning engineer in Maryland is $69,684.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $77,600.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning Engineer jobs in Maryland?

The most popular types of Machine Learning Engineer jobs in Maryland are:

What are popular job titles related to Junior Machine Learning Engineer jobs in Maryland?

For Junior Machine Learning Engineer jobs in Maryland, the most frequently searched job titles are:

What cities in Maryland are hiring for Junior Machine Learning Engineer jobs?

Cities in Maryland with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $69,684 per year, or $33.5 per hour.

Artificial Intelligence/Machine Learning Engineer

Everwatch

Annapolis Junction, MD • On-site

$47.60 - $108.18/hr

Other

Re-posted 22 days ago


Job description

Job Title
Artificial Intelligence/Machine Learning Engineer
Overview
EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country's most critical missions. We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success.
EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives.
Commitment to Non-Discrimination:
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Responsibilities
Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an Artificial Intelligence/Machine Learning Engineer, you will work directly with mission users to capture these workflows, document operational decision points, and translate them into effective AI-enabled capabilities.
You will design and implement solutions that may include LLM-powered workflows, agent-based automation, or hybrid approaches depending on mission needs. Your work will streamline analytical tasks, improve data accessibility, and support rapid, informed decision-making in high-tempo environments.
You'll collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate cleanly with existing systems, perform reliably in production, and adhere to the security and governance expectations of classified environments.
Join us. The world can't wait.
Qualifications
You Have:
  • Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic
  • Experience designing or implementing LLM-based or agentic workflows, including multi-step reasoning, tool integrations, and orchestration
  • Experience integrating AI systems with APIs, enterprise data stores, or mission platforms
  • Experience with programming languages such as Python
  • TS/SCI clearance with a polygraph
  • Bachelor's degree and 3+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments, 6+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments in lieu of a degree, OR Master's degree and technical experience

Nice If You Have:
  • Experience engineering AI capabilities in on-premise or multi-classification environments
  • Experience with AWS or Azure, including work in restricted or classified environments
  • Experience with AI/LLM development framework such as LangChain, LangGraph, PydanticAI, or CrewAI
  • Experience with ML frameworks such as PyTorch, TensorFlow, vLLM, or llama.cpp
  • Experience with cyber or intelligence workflows, operational data types, or mission-oriented analytical processes
  • Master's degree in AI, ML, Data Science, Cybersecurity, or Engineering

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with a polygraph is required.
Compensation at EverWatch is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $47.60 to $108.18 per hour. The estimate displayed represents the typical compensation range for this position and is just one component of EverWatch's total compensation package for employees.
Job Locations
US-MD-Annapolis Junction
Skills
AI/ML, LLM, API, Python