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Junior Machine Learning Engineer Jobs in Maryland

Socket.dev

Machine Learning Engineer

California, MD · On-site

$120 - $180/hr

Role Description This role is for a Machine Learning Engineer responsible for developing, implementing, and maintaining machine learning solutions that support business objectives and data-driven ...

PassFort

Machine Learning Engineer

Berlin, MD · On-site

$79.93 - $137.02/hr

We are looking for a skilled Machine Learning Engineer with expertise in perception to strengthen our team. This role requires a strong background in computer vision, deep learning, and multimodal ...

Bespoke Labs

Machine Learning Engineer

Hagerstown, MD · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Adelphi, MD · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Maryland

Junior Machine Learning Engineer information

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$32.5K

$69.7K

$106.3K

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

As of Aug 14, 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 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 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 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.

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.

More about Junior Machine Learning Engineer jobs

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 job categories do people searching Junior Machine Learning Engineer jobs in Maryland look for?

The top searched job categories for Junior Machine Learning Engineer jobs in Maryland 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:

Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $69,684 per year, or $33.5 per hour.

Machine Learning Engineer

Socket.dev

California, MD • On-site

$120 - $180/hr

Other

Posted 6 days ago

Job description

Role Description

This role is for a Machine Learning Engineer responsible for developing, implementing, and maintaining machine learning solutions that support business objectives and data-driven decision-making. In this position, you will work with data, algorithms, and software systems to build intelligent applications and improve existing processes.


As a Machine Learning Engineer, you will collaborate with data scientists, software engineers, and business stakeholders to transform requirements into practical machine learning solutions. You will assist in preparing data, training models, evaluating performance, and deploying machine learning applications into production environments.


The role involves monitoring model performance, optimizing workflows, and ensuring that machine learning systems operate efficiently and reliably. You will also support testing, troubleshooting, and continuous improvement efforts to enhance the accuracy and effectiveness of AI-driven solutions.


This position is ideal for candidates who enjoy working with both software development and data-driven technologies. It focuses on the practical implementation and deployment of machine learning systems rather than advanced academic research.


The Machine Learning Engineer plays a key role in enabling intelligent automation, predictive analytics, and scalable AI solutions across the organization.


Key Responsibilities

  • Develop, test, and deploy machine learning models and applications

  • Prepare, clean, and process data for model development

  • Evaluate model performance and optimize results

  • Support the deployment and maintenance of machine learning systems

  • Collaborate with cross-functional teams to define use cases and requirements

  • Monitor model accuracy, reliability, and performance

  • Troubleshoot and resolve model or data-related issues

  • Document machine learning workflows, processes, and solutions

  • Improve automation and predictive capabilities through machine learning

  • Stay updated on machine learning technologies, tools, and best practices


Qualifications

  • Basic to intermediate understanding of machine learning concepts and techniques

  • Familiarity with Python or other programming languages used in data and AI projects

  • Understanding of data processing, model training, and evaluation workflows

  • Knowledge of machine learning libraries or frameworks is a plus

  • Strong analytical and problem-solving skills

  • Ability to work with structured and unstructured data

  • Attention to detail and a structured approach to development

  • Good communication and teamwork skills

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