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Python Ml Developer Jobs in Baltimore, MD (NOW HIRING)

Cymertek

AI/ML Engineer

Annapolis Junction, MD · On-site

Proficiency in programming (e.g., Python) * Knowledge of ML frameworks (e.g., TensorFlow) * Ability to preprocess and analyze datasets * Expertise in supervised and unsupervised learning

Synergy ECP

AI/ML Engineer

Annapolis, MD · On-site

$270K/yr

... DevOps teams for integration * Monitor model performance and optimize over time * Support the full ML lifecycle (data - training - deployment - monitoring) Core Skills * Python and ML frameworks ...

Synergy ECP

AI/ML Engineer

Annapolis Junction, MD · On-site

$270K/yr

... DevOps teams for integration * Monitor model performance and optimize over time * Support the full ML lifecycle (data → training → deployment → monitoring) Core Skills * Python and ML ...

Synergy ECP

AI/ML Engineer

Annapolis Junction, MD · On-site

$270K/yr

... DevOps teams for integration * Monitor model performance and optimize over time * Support the full ML lifecycle (data training deployment monitoring) Core Skills * Python and ML frameworks ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Baltimore, MD

Python Ml Developer information

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How much do python ml developer jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for python ml developer in Baltimore, MD is $58.25, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $66.15 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
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What job categories do people searching Python Ml Developer jobs in Baltimore, MD look for? The top searched job categories for Python Ml Developer jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Python Ml Developer jobs? Cities near Baltimore, MD with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Baltimore, MD as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $121,157 per year, or $58.2 per hour.
Artificial Intelligence/Machine Learning (AI/ML) Engineer with Security Clearance

Artificial Intelligence/Machine Learning (AI/ML) Engineer with Security Clearance

Base-2 Solutions, LLC

Annapolis Junction, MD • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

Job description

Job Description Base-2 Solutions is seeking an AI/ML Engineer who designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Required Skills * Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow. * Select appropriate data sets. * Perform statistical analysis. * Run machine learning algorithms. * Use results to improve models. * Train and retrain systems when needed. * Experience in working with various ML libraries and packages. * Run standard test and evaluation protocols. * Provide system integration oversight. * Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements. * Research and implement a broad range of AI and ML algorithms and tools. * Design or Select appropriate data and knowledge representation methods. * Recognize software architecture, data modelling, and data structures. * Transform and convert data science prototypes into scalable solutions. * Verify data and model output quality. * Identify differences in data distribution that affect model performance. Qualifications * Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. * A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. * Five (5) additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Desired Skills * Expert knowledge with multiple programming languages, including: * Python * Java * R Pay & Benefit Highlights
Compensation * Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity). * Employee referral bonuses up to $10,000 per hired referral. * Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent). Health * 100% company-paid medical premiums for employees and eligible dependents. * Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans. * 100% company-paid dental premiums for employees and eligible dependents. * 100% company-paid vision premiums for employees and eligible dependents. Income Protection * 100% company-paid premiums for short-term disability. * 100% company-paid premiums for long-term disability. * 100% company-paid premiums for accidental death & dismemberment (AD&D). * 100% company-paid premiums for life insurance up to $200,000. Retirement * 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total). * 401(k) pre-tax and Roth options. Leave * Up to 20 days of flexible paid time off (PTO). * 11 paid floating holidays. Work-Life Balance * Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).

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