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Sr Machine Learning Engineer Jobs in Baltimore, MD

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Sr Machine Learning Engineer information

See Baltimore, MD salary details

$59.1K

$125.7K

$182.3K

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

As of Aug 10, 2026, the average yearly pay for sr machine learning engineer in Baltimore, MD is $125,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $142,600.00 per year, depending on experience, location, and employer.

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

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

What is a Sr Machine Learning Engineer?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

What are the key skills and qualifications needed to thrive as a Sr Machine Learning Engineer?

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.
What are popular job titles related to Sr Machine Learning Engineer jobs in Baltimore, MD? For Sr Machine Learning Engineer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Sr Machine Learning Engineer jobs in Baltimore, MD look for? The top searched job categories for Sr Machine Learning Engineer jobs in Baltimore, MD are:
Sr Machine Learning Engineer jobs near you
Infographic showing various Sr Machine Learning Engineer job openings in Baltimore, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $125,746 per year, or $60.5 per hour.

Artificial Intelligence/Machine Learning Engineer, Senior

EverWatch

Annapolis Junction, MD • On-site

$106K - $146K/yr

Full-time

Re-posted 10 days ago

Job description

Job Summary:
EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country’s most critical missions. As an AI/ML Engineer, you will develop and deploy artificial intelligence and machine learning solutions to enhance operational workflows and improve decision-making in secure environments.
Responsibilities:
• Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security.
• As an AI/ML Engineer at EverWatch Solutions, you will work directly with mission users to develop and deploy artificial intelligence and machine learning solutions that enhance operational workflows, improve data accessibility, and support rapid decision-making in secure environments.
• You will collaborate with operators, analysts, software developers, and mission leadership to capture operational needs and translate them into effective AI-enabled capabilities.
• Your work may include developing LLM-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness.
• You will support the integration of AI capabilities into existing operational systems while ensuring solutions are reliable, scalable, and compliant with security and governance requirements in classified environments.
• Additionally, you will contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions.
Qualifications:
Required:
• Experience with architecting and delivering enterprise-scale AI/ML solutions in professional or mission-oriented environments
• Experience with large language models (LLMs), generative AI systems, and agentic AI development, including production deployment
• Experience with designing and implementing end-to-end machine learning pipelines, including data engineering, model training, evaluation, deployment, and monitoring
• Experience with providing technical leadership and mentoring engineering teams across complex development efforts
• Knowledge of Python for AI/ML development, data engineering, and pipeline construction at an expert level
• Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders
• TS/SCI clearance with a Polygraph
• Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Mathematics, Statistics, or a related technical field with 10+ years of relevant experience; Master's degree with 7+ years; or PhD with 4+ years of relevant AI/ML or data science experience
Preferred:
• Experience with deep learning frameworks such as PyTorch or TensorFlow
• Experience with cloud platforms such as AWS, Azure, or GCP, as well as distributed computing frameworks
• Experience with containerization and orchestration tools such as Docker and Kubernetes
• Experience with designing and implementing MLOps platforms, including end-to-end model lifecycle management and automated retraining systems
• Experience with natural language processing (NLP) techniques, including topic modeling, text classification, named entity recognition, and semantic/vector search
• Experience with multi-modal data processing across text, imagery, speech, and video modalities
• Experience with contributing to technical proposals, RFP responses, and government white papers
• Experience with supporting DoD or Intelligence Community programs
• Knowledge of agentic AI frameworks, multi-agent architectures, and intelligent orchestration patterns
• Knowledge of security requirements and compliance frameworks for AI/ML systems operating in government environments
• Ability to apply AI/ML technologies within secure government and mission-focused environments
Company:
EverWatch focuses on in-house investment management. Founded in 1999, the company is headquartered in West Palm Beach, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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