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Mid Level Machine Learning Teaching Jobs in Washington

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... A high level of comfort with academic literature and the ability to adapt research products to ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... A high level of comfort with academic literature and the ability to adapt research products to ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... A high level of comfort with academic literature and the ability to adapt research products to ...

Halvik

Mid-Level Web App Developer

Vienna, VA · On-site

$90K - $105K/yr

... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of ... Role Summary Mid-Level Web Application Developers support active modernization work by implementing ...

Halvik

Mid-Level Web App Developer

Vienna, VA · Remote

$90K - $105K/yr

... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of ... Role Summary Mid-Level Web Application Developers support active modernization work by implementing ...

Koniag, Inc.

Mid-level Engineer

Arlington, VA · On-site

$130K - $160K/yr

Koniag Management Solutions, LLC a Koniag Government Services company , is seeking a Mid-level ... machine learning) Preferred Skills and Experience: Programming Language: * Experience with C+

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Mid Level Machine Learning Teaching information

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data analysis, and programming. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation.

Which 3 jobs will survive AI?

Mid Level Machine Learning Teaching roles are likely to persist as they require specialized knowledge, human interaction, and the ability to adapt to new AI tools. Jobs that involve complex problem-solving, creativity, and emotional intelligence, such as data scientists, AI ethics specialists, and technical trainers, are also expected to remain in demand despite AI advancements.

Will MLE be replaced by AI?

Mid Level Machine Learning Engineers (MLEs) focus on developing, deploying, and maintaining machine learning models, which requires a combination of programming, data analysis, and domain knowledge. While AI automation tools can assist with certain tasks, MLEs are essential for designing complex models, troubleshooting, and ensuring ethical and effective implementation, making complete replacement unlikely in the near term.

What is the difference between Mid Level Machine Learning Teaching vs Data Scientist?

AspectMid Level Machine Learning TeachingData Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related; teaching experienceBachelor's or Master's in CS, Data Science, or related; often requires experience
Work EnvironmentEducational institutions, online platforms, corporate trainingTech companies, finance, healthcare, research labs
Employer & Industry UsageEducational and training sectors, universities, online educationPrivate sector, industry-specific applications, research
Common Search & Comparison IntentUnderstanding teaching roles in ML, educational careersData analysis, modeling, industry applications

Mid Level Machine Learning Teaching focuses on educating students or professionals in ML concepts, often requiring teaching experience and educational credentials. Data Scientists analyze data, build models, and apply ML techniques in industry settings. While both roles involve ML knowledge, teaching emphasizes instruction, whereas data science emphasizes application and analysis.

Can I learn ML in 3 months?

For a mid-level machine learning teaching role, gaining foundational knowledge in machine learning typically requires several months of dedicated study, including understanding algorithms, programming in Python, and working with tools like scikit-learn or TensorFlow. While intensive learning over three months can build basic skills, achieving proficiency suitable for teaching or advanced roles usually takes longer and involves practical experience and project work.
What are the most commonly searched types of Machine Learning Teaching jobs in Washington? The most popular types of Machine Learning Teaching jobs in Washington are:
What are popular job titles related to Mid Level Machine Learning Teaching jobs in Washington? For Mid Level Machine Learning Teaching jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Mid Level Machine Learning Teaching jobs in Washington look for? The top searched job categories for Mid Level Machine Learning Teaching jobs in Washington are:
What cities in Washington are hiring for Mid Level Machine Learning Teaching jobs? Cities in Washington with the most Mid Level Machine Learning Teaching job openings:
Mid Level Machine Learning Teaching jobs near you
Infographic showing various Mid Level Machine Learning Teaching job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.
Mid-Level Machine Learning Data Scientist [$306k/yr+] TS/SCI-FSP with Security Clearance

Mid-Level Machine Learning Data Scientist [$306k/yr+] TS/SCI-FSP with Security Clearance

SYSTOLIC

Annapolis Junction, MD • On-site

$306K/yr

Other

Posted 18 days ago

Job description

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered. Summary: • Develop statistical, graph-based, and machine learning algorithms for data analysis and predictive analytics. • Clean and structure disparate data and produce clear data visualizations. • Translate qualitative mission processes into quantitative formulations and software prototypes. • Utilize Python, R, MATLAB, SQL, Java, Elasticsearch, Kibana, and Amazon OpenSearch. • Manage Windows Server environments and apply expertise in cybersecurity, dataflow, network protocols, and database engineering. Qualifications & Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 10+ years • Total Compensation: $306k+ yearly Job Description: • Develop and implement statistical, graph-based, and machine learning algorithms to analyze and make sense of data sets. • Clean and structure disparate data received from a globally dispersed customer base. • Provide insight into dataset structures and produce data visualizations consumable by both technical and non-technical audiences. • Translate qualitative analysis processes and goals into quantitative formulations that are coded into software prototypes. • Evaluate and validate the performance of analytics using standard techniques and metrics, guiding development toward scalable solutions. • Work in close partnership with subject matter experts, software engineers, and cloud developers to guide the formulation of analytics to production. • Apply experience in designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software (R, Python, SAS, MATLAB). • Manage Windows server environments and Power BI Report Service. • Demonstrate proficiency with Python/Jupyter Notebooks, SQL and relational databases, ElasticSearch/Kibana/OpenSearch; Java experience is a plus. • Possess a background working with analyst teams, including conducting data analysis and creating data visualizations. • Apply experience working within a cybersecurity mission environment, utilizing tools and capabilities to generate threat intelligence and understanding adversary tradecraft. • Must possess U.S. Citizenship and an active TS/SCI security clearance with polygraph. About SYSTOLIC: SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com. To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency

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