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Senior Machine Learning Engineer Jobs in Pasadena, MD

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Senior Machine Learning Engineer information

See Pasadena, MD salary details

$60.4K

$128.5K

$186.3K

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

As of Aug 8, 2026, the average yearly pay for senior machine learning engineer in Pasadena, MD is $128,473.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $145,700.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Pasadena, MD are hiring for Senior Machine Learning Engineer jobs? Cities near Pasadena, MD with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you

Artificial Intelligence/Machine Learning Engineer, Senior

Everwatch

Annapolis Junction, MD • On-site

$108.17 - $146.63/hr

Full-time

Re-posted 9 days ago

Job description

Job TitleArtificial Intelligence/Machine Learning Engineer, SeniorOverview

EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country's most critical missions.  We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success.

EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives.

Commitment to Non-Discrimination:

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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.

Join us. The world can't wait.

Qualifications

You Have: 

  • 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

Nice If You Have: 

  • 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

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with a polygraph is required. 

Compensation at EverWatch is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $108.17 to $146.63 per hour. The estimate displayed represents the typical compensation range for this position and is just one component of EverWatch's total compensation package for employees.

Clearance LevelTS/SCI CIPJob LocationsUS-MD-Annapolis JunctionSkillsAI/ML, LLM, API, PythonMinMaxEmployment Type: OTHER

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