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Entry Level Cyber Security Machine Learning Jobs in Baltimore, MD

Description This role is an entry level position aimed at a blend of AI-focused project work ... Support AI-related projects including data analysis, automation solutions, machine learning ...

Data Scientist 1

Annapolis, MD ยท On-site

$90K - $120K/yr

... of cybersecurity. Your effort and expertise are crucial to the success and execution of this ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Excellent written and verbal communication skills For Data Science/Machine Learning Required Skills ... entry-level position each additional Technical skill helps a candidate's resume to be picked by ...

Assistant Teaching Professor

Towson, MD ยท On-site

$50K - $55K/yr

... education," and "cybersecurity for educators" for prospective teachers and other interested ... Artificial intelligence or machine learning; Data science or data analytics; Computing/Computer ...

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Entry Level Cyber Security Machine Learning information

See Baltimore, MD salary details

$44.7K

$92.6K

$144.1K

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

As of Jun 25, 2026, the average yearly pay for entry level cyber security machine learning in Baltimore, MD is $92,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $111,300.00 per year, depending on experience, location, and employer.

What is the synonym of entry?

In the context of an Entry Level Cyber Security Machine Learning position, a synonym for 'entry' is 'initial' or 'beginner,' indicating a role suitable for those starting their careers with minimal experience. These roles often require foundational knowledge of cybersecurity concepts and basic machine learning skills, and they serve as a stepping stone for more advanced positions.

Is it entree or entry?

The correct term for the job level is 'entry' level, as in 'entry-level cybersecurity' or 'entry-level machine learning' roles. These positions are designed for candidates with minimal professional experience and often require foundational skills in cybersecurity concepts, programming, or machine learning tools. 'Entree' is a culinary term and not related to job levels.

Is it entry or entery?

The correct term for starting a career in entry-level cybersecurity machine learning roles is 'entry level.' The word 'entery' is a misspelling and not used in professional contexts. Entry-level positions typically require foundational skills in cybersecurity and machine learning tools like Python or TensorFlow.

What does entry mean?

In the context of an Entry Level Cyber Security Machine Learning position, 'entry' typically refers to a role suitable for candidates with minimal professional experience, often requiring foundational knowledge of cybersecurity concepts, machine learning techniques, and relevant tools. These roles are designed for individuals starting their careers and may include on-the-job training or basic certifications like CompTIA Security+ or introductory courses in machine learning. They usually have lower experience requirements and serve as a stepping stone to more advanced positions.
What are popular job titles related to Entry Level Cyber Security Machine Learning jobs in Baltimore, MD? For Entry Level Cyber Security Machine Learning jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Entry Level Cyber Security Machine Learning jobs in Baltimore, MD look for? The top searched job categories for Entry Level Cyber Security Machine Learning jobs in Baltimore, MD are:
Infographic showing various Entry Level Cyber Security Machine Learning job openings in Baltimore, MD as of June 2026, with employment types broken down into 2% Locum Tenens, 59% Full Time, 30% Part Time, 7% Contract, and 2% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $92,577 per year, or $44.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

Maverc Technologies

Columbia, MD โ€ข On-site

Full-time

Posted 6 days ago


Job description

Become part of a team solving the most significant Cybersecurity & IT Challenges and helping keep the worldโ€™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 yearsโ€™ 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: Bachelorโ€™s or Masterโ€™s in Computer Science, Computer Engineering, or other related field.