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

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Machine Learning Engineer information

See Towson, MD salary details

$30.2K

$123.6K

$185.7K

How much do machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning engineer in Towson, MD is $123,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $148,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

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.

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 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 cities near Towson, MD are hiring for Machine Learning Engineer jobs? Cities near Towson, MD with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Towson, MD as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $123,559 per year, or $59.4 per hour.

Senior Applied AI Engineer 3 - (Python, Data Science, Machine Learning)

Akina, Inc.

Fort George G Meade, MD • On-site

$232K - $283K/yr

Full-time

Retirement, PTO

Posted 6 days ago

Job description

Senior Applied AI Engineer 3 - (Python, Data Science, Machine Learning)
Clearance: TS/SCI - Polygraph required
Position ID: 20-16-028-SWE3
Location: Fort Meade, Maryland
Description:
Join a fast-moving AI team focused on delivering mission-critical AI capabilities that enable analysts and operators to make better, faster decisions. As a Senior Applied AI Engineer specializing in Data Science & Analytics, you will develop AI-enabled analytical tools that transform large and complex datasets into actionable mission insights. You will work directly with mission customers to understand analytical challenges, identify opportunities for artificial intelligence and machine learning, and rapidly prototype capabilities that solve real operational problems. Our team emphasizes customer collaboration, rapid iteration, and practical AI solutions over lengthy development cycles. This position is ideal for an engineer who enjoys combining data science, machine learning, and software engineering to create mission impact.
  • Design and develop AI-enabled analytics applications using Python and modern software engineering practices.
  • Perform exploratory data analysis, feature engineering, statistical analysis, and machine learning on mission datasets.
  • Develop pattern-of-life, anomaly detection, clustering, and predictive analytics capabilities.
  • Build retrieval-augmented generation (RAG) and LLM-powered workflows that enhance analytical processes.
  • Collaborate directly with mission customers to understand datasets and develop AI-driven analytical solutions.
  • Integrate structured and unstructured data into scalable AI applications.
  • Evaluate emerging AI and machine learning techniques for mission applicability.
  • Mentor junior engineers and contribute to technical direction across the team.

Position Required Skills:
  • Experience developing production software using Python.
  • Experience with data science, machine learning, or statistical analysis.
  • Experience using libraries such as Pandas, NumPy, Scikit-learn, or similar.
  • Experience building AI or machine learning applications.
  • Strong analytical and problem-solving skills.
  • Experience working with SQL, Elasticsearch, or other large-scale data platforms.
  • Ability to communicate technical concepts to both technical and non-technical stakeholders.
  • Experience collaborating directly with customers to solve analytical problems.

Nice to Haves
  • Experience with LLMs, prompt engineering, or retrieval-augmented generation (RAG).
  • Experience with geospatial analysis, pattern-of-life analytics, or time-series analysis.
  • Experience with data visualization tools and dashboard development.
  • Experience deploying machine learning models into production.
  • Experience supporting classified mission environments.

SWE3 Qualifications:
YOE Requirement: 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.
Salary Range: $232k-$283k (Annually)
The range displayed above is a likely salary range for this position. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possible contractual requirements and could fall outside of this range.
Akina is a Woman Owned, Service Disabled, Veteran Owned, Small Business, looking for talented and ambitious individuals to join our team. We offer a generous compensation package that includes 24 days PTO accrued annually and 11 federal holidays. Our 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary. Akina covers 100% of healthcare costs for employees and 50% toward dependents. We offer educational assistance towards college classes and will cover costs associated with job related training and certifications.
Akina is committed to excellence and creating innovative and flexible solutions for our clients. We are a small company with an open ear to our employees' needs in order to attract and retain quality talent that enables our customer's mission.
We are an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
www.akina-inc.com/careers

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