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Senior Machine Learning Engineer Jobs in Pasadena, MD

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Showing results 1-20

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 1, 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 are popular job titles related to Senior Machine Learning Engineer jobs in Pasadena, MD? For Senior Machine Learning Engineer jobs in Pasadena, MD, the most frequently searched job titles are:
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

Nyla Technology Solutions

Annapolis Junction, MD โ€ข On-site

$152K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

Job Description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED


Ready to push the boundaries of natural language processing and AI? In this role, you will be at the forefront of automated language processing, tackling complex natural language data from both spoken and written origins. You won't just run off-the-shelf models—you’ll architect autonomous tokenization pipelines, build automated part-of-speech annotation solutions, and rigorously score and benchmark model performance against human-annotated baselines. If you thrive on pushing the boundaries of NLP, fine-tuning machine learning models, and bringing cutting-edge AI/LLM capabilities to high-stakes missions, you’ll fit right in with Team Nyla.


The annual base salary range for this role is $152,000-$180,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.




, Required Skills
  • Python Expertise: Advanced, production-level proficiency in Python for data manipulation, algorithmic modeling, and NLP tool development.

  • Natural Language Processing (NLP): Extensive hands-on experience designing and deploying core NLP workflows, including tokenization, text normalization, and parts-of-speech (POS) tagging.

  • Model Evaluation Scoring: Demonstrated track record of benchmarking machine learning/NLP models, performing error analysis, and measuring accuracy against human-annotated datasets.

  • Multi-Modal Language Processing: Practical experience processing diverse natural language datasets originating from both spoken (transcribed) and written sources.


Education: Bachelor’s Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS 7+ years of professional experience in data science, NLP, or software engineering OR Master’s Degree in a related field, PLUS 5+ years of relevant professional experience OR High School Diploma / GED, PLUS 11+ years of specialized technical experience in lieu of a degree.


, Desired Skills

AI Large Language Models (LLMs): Hands-on experience testing, fine-tuning, or integrating modern LLMs and generative AI frameworks into production analytical pipelines.

Machine Learning Frameworks: Familiarity with modern ML libraries and deep learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face, spaCy, NLTK).

MDLA Domain Experience: Prior exposure to Massively Distributed Language Processing Frameworks (MDLA) or specialized language processing architectures.

AI Testing Evaluation: Practical experience constructing evaluation testbeds and testing strategies for emerging AI/ML techniques.

, About Nyla Technology Solutions

Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done.


If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla’s team,


Taking Care of All of You

Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle.


The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule.


PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract* (over 40 hrs/week). There’s even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract!


LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That’s up to 240 hours of leave plus 11 holidays! That’s not even including paid anniversary leave!


SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks!


WHAT ABOUT OTHER BENEFITS? Nyla’s health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place.


To learn more about Nyla's culture and our exceptional benefit packages click https://nylatechnologysolutions.com/careers/#culture">here.

Nyla is an equal opportunity employer.