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Python Ml Developer Jobs in Washington (NOW HIRING)

System One

AI/ML Solutions Architect

Mclean, VA · Remote

Minimum EIGHT (8) years in solutions architecture, software engineering, data engineering, and/or applied ML with a track record of delivering production systems. * Strong Python proficiency and ...

SES

Python Ai Developer - ZL

Washington, DC · On-site

$57 - $78.50/hr

ML * Sagemaker * Bedrock Top 3 Soft Skills: * Confidence in Communication skills for Teamwork and ... programming skills in Python, SQL and experience with AWS. Priority Order of Skills is AWS, Gen AI ...

Interon IT Solutions

AI/ML Engineer

Reston, VA · On-site

AI/ML Engineer Location: Reston VA - In person interviews so need Local In EAST coast only​ Core ... Develop high-performance Python microservices (FastAPI/Flask) enabling scalable data pipelines ...

Black Cape

Powerful Python Developer

Bethesda, MD · On-site

$52.25 - $72/hr

Title: Powerful Python Developer (AI and/or GIS Specialist) Locations: Bethesda, MD Onsite ... We bring experience in building, integrating and deploying AI/ML solutions using Google TensorFlow ...

Black Cape

Powerful Python Developer

Bethesda, MD · On-site

$52.25 - $72/hr

Title: Powerful Python Developer (AI and/or GIS Specialist) Locations: Bethesda, MD Onsite ... We bring experience in building, integrating and deploying AI/ML solutions using Google TensorFlow ...

Quevera LLC

Python API Developer - SWE1

Annapolis Junction, MD · On-site

$51.25 - $70.75/hr

Quevera has exciting opportunities for Python API Developers to support the design and delivery of ... In this role you will build scalable and secure APIs, integrate AI/ML capabilities, and deploy ...

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Python Ml Developer information

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.
What are popular job titles related to Python Ml Developer jobs in Washington? For Python Ml Developer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Washington look for? The top searched job categories for Python Ml Developer jobs in Washington are:
What cities in Washington are hiring for Python Ml Developer jobs? Cities in Washington with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Washington as of July 2026, with employment types broken down into 82% Full Time, 8% Part Time, 1% Temporary, and 9% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.
AI/ML Solutions Architect

AI/ML Solutions Architect

System One

Mclean, VA • Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago

Job description

Job Title: AI/ML Solutions Architect Location: McLean, VA Type: Contract To Hire Work Model: Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal.dinnocenti@systemone.com RESPONSIBILITIES

  • Design and implement agentic AI systems that enable autonomous decision-making, workflow orchestration, and mission process optimization—with appropriate guardrails and human oversight.
  • Develop Generative AI applications for summarization, extraction, predictive insights, and conversational interfaces.
  • Build and maintain scalable data pipelines integrating structured and unstructured data to support analytics and AI workloads.
  • Apply advanced statistical and machine learning techniques to decision support and policy/program evaluation.
  • Lead AI initiatives spanning Retrieval-Augmented Generation (RAG) and evaluation, Re-ranking strategies, and retrieval quality optimization.
  • Perform prompt engineering, safety patterns, and defensive design.
  • Integrate knowledge graphs and develop graph-enhanced retrieval solutions.
  • Create and fine-tune embeddings and LLMs to enhance domain performance, accuracy, and robustness.
  • Develop entity graphs using entity resolution techniques to enable graph analytics and improved retrieval.
  • Collaborate across engineering, security, and stakeholder teams to prototype rapidly, iterate responsibly, and deliver mission-ready outcomes.
  • Lead deployment in AWS cloud environments utilizing Infrastructure-as-Code, DevOps/DevSecOps, and operational excellence practices.
  • Own and drive the technical foundation and delivery process for mission AI solutions, including system architecture, tooling, engineering and delivery standards, and hands-on technical leadership.
REQUIREMENTS
  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
  • Bachelor’s degree in Engineering, IT, Computer Science, or related field (or equivalent experience).
  • Minimum EIGHT (8) years in solutions architecture, software engineering, data engineering, and/or applied ML with a track record of delivering production systems.
  • Strong Python proficiency and strong SQL skills (data modeling, query optimization).
  • Experience designing and delivering cloud-based AI/ML solutions end-to-end (ingestion, modeling, deployment, monitoring) in secure environments.
  • Hands-on experience with AI application frameworks such as LangChain, Haystack, crewAI, or similar.
  • Strong knowledge of core Python ML/data libraries: NumPy, Pandas, Scikit-learn, NLTK, OpenCV.
  • Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with search technologies such as Elasticsearch or OpenSearch.
  • Experience with relational databases (PostgreSQL, Oracle) and in-memory analytics engines (DuckDB).
  • Experience using cloud SDKs (e.g., Boto3) and building reliable integrations with cloud services.
  • Familiarity with agentic AI frameworks such as AWS Strands Agents, PydanticAI, and related orchestration patterns.
  • Advanced prompt engineering skills for complex reasoning workflows beyond code generation.
  • Experience with asynchronous Python development (asyncio, concurrency, reliability).
  • Experience with MCP servers and tool-calling within agentic workflows (tool governance, security considerations).

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. #M1 #LI-CD1

Ref: #851-Rockville-S1

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