ZipRecruiter

Log In

1

Before And After School Python Machine Learning Jobs in Washington

1872 Consulting

Machine Learning Engineer

Reston, VA

Machine Learning Engineer D.C. Area About the Position As a member of our Engineering team, you ... Fluent in Java, Python, and/or Scala programming languages * Strong communication skills including ...

ManTech

Machine Learning Engineer

Herndon, VA

Train and embed machine learning models into applications using programming languages (Python, Java, R) and core libraries (TensorFlow, Keras, Scikit-learn). * Explore and visualize data to uncover ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

We ship -- We don't work on 18-month projects that are irrelevant before they're even finished ... Important Skills * Several years of experience with Python and machine learning frameworks

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

We ship - We don't work on 18-month projects that are irrelevant before they're even finished ... Important Skills * Several years of experience with Python and machine learning frameworks

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. * Deep ...

Ai Squared

Machine Learning Engineer

Washington, DC

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. * Deep ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. * Deep ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. * Deep ...

next page

Showing results 1-20

All JobsBefore And After School Python Machine Learning JobsBefore And After School Python Machine Learning Jobs in Washington

Before And After School Python Machine Learning information

Will AI replace Python coders?

AI is unlikely to fully replace Python coders, especially in roles involving machine learning and data analysis, where human expertise is essential for designing algorithms and interpreting results. Instead, AI tools are expected to augment coding tasks, making developers more efficient and allowing them to focus on complex problem-solving and innovative projects.

What is the difference between Before And After School Python Machine Learning vs Data Analyst?

AspectBefore And After School Python Machine LearningData Analyst
Required CredentialsPython programming, basic machine learning knowledge, possibly certificationsStatistical skills, Excel, SQL, certifications like CAP or Microsoft certifications
Work EnvironmentEducational settings, coding labs, online platformsCorporate offices, data centers, consulting firms
Industry UsageEducational programs, tech workshops, online coursesBusiness intelligence, market research, reporting

While both roles involve data handling and technical skills, Before And After School Python Machine Learning focuses on teaching and applying machine learning in educational contexts, whereas Data Analysts interpret data to support business decisions. The skills overlap in Python and data analysis, but their applications and environments differ significantly.

Which 5 jobs will survive AI?

Jobs related to Before and After School Python Machine Learning, such as educational technology specialists, data analysts, AI trainers, software developers, and curriculum designers, are likely to persist as they require human oversight, creativity, and contextual understanding. These roles involve skills in programming, data management, and ethical decision-making that are less susceptible to automation. Continuous learning and adapting to new tools will help professionals in these fields remain relevant.

What jobs can I get after learning Python?

Learning Python can qualify you for roles such as data analyst, machine learning engineer, software developer, or automation specialist. These jobs often require knowledge of libraries like pandas, scikit-learn, or TensorFlow and may involve working in data-driven or AI-focused environments.

Are Python still in demand in 2026?

Python remains highly in demand for roles such as data scientists, machine learning engineers, and developers working on automation and AI projects. Its versatility, extensive libraries, and strong community support ensure continued relevance in the tech industry through 2026 and beyond.
What are popular job titles related to Before And After School Python Machine Learning jobs in Washington? For Before And After School Python Machine Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Before And After School Python Machine Learning jobs in Washington look for? The top searched job categories for Before And After School Python Machine Learning jobs in Washington are:
What cities in Washington are hiring for Before And After School Python Machine Learning jobs? Cities in Washington with the most Before And After School Python Machine Learning job openings:
Before And After School Python Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

Samprasoft

Mclean, VA

Other

Posted 8 days ago

Job description

GCP/AWS Machine Learning Engineer

Freddie Mac iLab is currently looking for Machine Learning Engineers in its Innovation Labs - Tech Strategy team. In this position, you will be responsible for taking on new initiatives to design, build, and deploy machine learning models in a client solution-oriented environment. As a member of our team, you will make an immediate impact on building and expanding current technology platforms across AWS and GCP.

What you will do:

  • Work within an agile team that includes members with cross-functional skills
  • Collaborate closely with other functional teams to design, build, test, and deploy AI solutions to address market needs
  • Design and implement Machine Learning algorithms and models into software solutions for our enterprise customers by using common machine learning frameworks, including establishing and training machine learning and deep learning models at scale for computer vision (image recognition, object detection, image generation), machine translation, language modeling, rankings and recommendations, speech recognition, etc.
  • Design, build, and implement cloud native applications using the GCP and AWS services, event streaming technologies, and various open source frameworks
  • Build distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time to feed machine learning algorithms
  • Incorporate real-time data streams to produce highly predictive features in our models
  • Write understandable, testable, and secure code with an eye towards quality and maintainability.

What we are looking for:

  • At least a Bachelor's degree in Computer Science, Mathematics, related technical field or equivalent practical experience.
  • A blend of data engineering, machine learning, and product innovation skills that let you jump into a fast-paced environment and contribute on day one
  • Familiar with monitoring, deployment tools, platforms and Infrastructure as Code (IaC)
  • At least 5 years of experience designing and implementing software solutions for complex problems
  • At least 3 years of experience with cloud computing platform (AWS and GCP)
  • At least 3 years of experience with Cloud Native Architecture, Docker, Microservices, Kubernetes, EKE/GKE, serverless computing, etc.
  • At least 3 years of experience as a data engineer, with large-scale data ecosystems including data lake, data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
  • Experience with building and deploying ML-based solutions and proficiency in common machine learning frameworks such as TensorFlow, XGBoost, scikit-learn, Pytorch and ONNX and programming languages (Python, Java, Go, etc.

Apply