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Entry Level Machine Learning Engineer Jobs in Owings Mills, MD

SynergisticIT

SQL Developer (Entry-Level)

Baltimore, MD · On-site

$49 - $67/hr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python ... Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or ...

Metric5

AI Learning Specialist

Windsor Mill, MD · Remote

$150K - $170K/yr

Proficiency in machine learning, AI technologies, and programming languages like Python or R Education: Bachelor's or Master's degree in machine learning, Artificial Intelligence, Computer Science ...

Metric5

AI Learning Specialist

Baltimore, MD · On-site

$150K - $170K/yr

Proficiency in machine learning, AI technologies, and programming languages like Python or R Education: Bachelor's or Master's degree in machine learning, Artificial Intelligence, Computer Science ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Owings Mills, MD

Entry Level Machine Learning Engineer information

See Owings Mills, MD salary details

$28.8K

$66.6K

$113.3K

How much do entry level machine learning engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for entry level machine learning engineer in Owings Mills, MD is $66,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $75,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Owings Mills, MD? For Entry Level Machine Learning Engineer jobs in Owings Mills, MD, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Owings Mills, MD look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Owings Mills, MD are:
What cities near Owings Mills, MD are hiring for Entry Level Machine Learning Engineer jobs? Cities near Owings Mills, MD with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Owings Mills, MD as of July 2026, with employment types broken down into 1% Locum Tenens, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $66,625 per year, or $32 per hour.
Machine Learning Engineer

Machine Learning Engineer

Maverc Technologies

Columbia, MD • On-site

Full-time

Posted 10 days ago

Job description

Become part of a team solving the most significant Cybersecurity & IT Challenges and helping keep the world’s largest and most elite brands safer from cyber threats. At Maverc we have a powerful mindset based on our core values of being accountable, helpful, adaptable, and focused. Maverc Technologies is a proven and effective small business partner and consultant, recognized as a leader in providing cyber security and IT services to the Federal, State, and local Government and within the Intelligence Community. Maverc Technologies is seeking an Machine Learning Engineer to support one of our corporate customers.



Job Duties and Responsibilities 

A talented Machine Learning Engineer to support our AI Center of Excellence! In this role, you and your team will be responsible for the entire lifecycle of machine learning models, from managing and deploying them to troubleshooting any pipeline issues that arise. We offer a collaborative environment where you will work closely with engineers and data scientists to bring impactful ML solutions to life.

Responsibilities include, but are not limited to:

  • Manage and deploy machine learning models into production
  • Debug and troubleshoot issues with deployment pipelines
  • Utilize and understand core ML tooling
  • Work with dataframes to manipulate and prepare data for models
  • Collaborate with the various teams within the AI Center of Excellence to ensure successful model implementation
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms


QUALIFICATIONS AND EXPERIENCE 

  • Active SECRET
  • US Citizenship
  • Minimum of 8 years’ experience in DevOps or MLOps
  • Understanding of machine learning modeling techniques and algorithms
  • Experience with Python, Docker, Kubernetes and Git
  • Skilled in common data science libraries (Scikit-learn, PyTorch, etc)
  • Strong math skills (e.g. statistics, algebra)
  • Problem-solving aptitude
  • Excellent communication and presentation skills
  • Experience with deploying open-source LLMs
  • DataBricks
  • Splunk
  • Continuous Integration/Continuous Deployment
  • Knowledge of statistics and concepts in neural networks


Education: Bachelor’s or Master’s in Computer Science, Computer Engineering, or other related field.


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