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Microsoft Machine Learning Jobs in Washington (NOW HIRING)

Analytica

2027 Summer Intern Associate

Bethesda, MD · On-site +1

$16 - $21.50/hr

Proficiency in Microsoft Office or Google Workspace Preferred Qualifications (Varies by internship track) * Data Science: Python, R, statistics, machine learning coursework * Data Engineering: SQL ...

Analytic Services Inc

Data Scientist

Reston, VA · On-site

Experience with large data multi-INT analytics, machine learning (ML), and automated predictive analytics * Skilled in data visualization and use of graphical applications, including Microsoft Office ...

Halvik

Exchange Administrator

Vienna, VA · On-site

$130K - $140K/yr

... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of ... Administer FCA's email systems, which are implemented in Microsoft Exchange and Microsoft Exchange ...

Howard University

Research Assistant

Washington, DC · On-site

$24/hr

Develop, train, and evaluate machine learning and deep learning models . * Review scientific ... Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, or Microsoft Azure)

RIVIDIUM

Data Scientist- Senior

Quantico, VA

The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big ... Experience working with Microsoft tools , including SharePoint * Strong analytical, problem-solving ...

SAIC

AI/ML Systems Engineer

Chantilly, VA · On-site

Description SAIC seeks an Artificial Intelligence/Machine Learning Systems Engineer to join our ... Proficient skills using Microsoft Office applications (i.e., Word, Excel, Powerpoint, Sharepoint)

Peraton

Data Scientist

Herndon, VA

$112K - $179K/yr

... Machine Learning (ML) tools to automate processes for efficiencies. * Build high quality prediction systems. * Utilize data visualization and graphical applications, to include Microsoft Office ...

Peraton

Data Scientist

Herndon, VA · On-site

$112K - $179K/yr

... Machine Learning (ML) tools to automate processes for efficiencies. * Build high quality prediction systems. * Utilize data visualization and graphical applications, to include Microsoft Office ...

ANSER

Data Scientist

Reston, VA · On-site

... machine learning (ML), and automated predictive analytics. • Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science ...

ANSER

Data Scientist

Reston, VA · On-site

... machine learning (ML), and automated predictive analytics • Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science ...

Peraton

Data Scientist

Reston, VA · On-site

$112K - $179K/yr

... Machine Learning (ML) tools to automate processes for efficiencies. * Build high quality prediction systems. * Utilize data visualization and graphical applications, to include Microsoft Office ...

Peraton

Data Scientist

Herndon, VA · On-site

$112K - $179K/yr

... Machine Learning (ML) tools to automate processes for efficiencies. * Build high quality prediction systems. * Utilize data visualization and graphical applications, to include Microsoft Office ...

SAIC

AI/ML Systems Engineer

Chantilly, VA

SAIC seeks an Artificial Intelligence/Machine Learning Systems Engineer to join our team of ... Proficient skills using Microsoft Office applications (i.e., Word, Excel, Powerpoint, Sharepoint)

Peraton

Data Scientist

Reston, VA

$112K - $179K/yr

... Machine Learning (ML) tools to automate processes for efficiencies. * Build high quality prediction systems. * Utilize data visualization and graphical applications, to include Microsoft Office ...

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Microsoft Machine Learning information

See Washington salary details

$28.9K

$48.2K

$99.7K

How much do microsoft machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for microsoft machine learning in Washington is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Microsoft Machine Learning Engineer, and why are they important?

To thrive as a Microsoft Machine Learning Engineer, you need a solid background in computer science, mathematics, and statistics, typically supported by a relevant degree and experience in machine learning model development. Proficiency with tools such as Azure Machine Learning, Python, TensorFlow or PyTorch, and familiarity with cloud computing platforms is expected, along with certifications like Microsoft Certified: Azure AI Engineer Associate. Strong problem-solving skills, collaboration, and effective communication are crucial soft skills for successful project delivery and stakeholder engagement. These skills and qualities are vital for developing robust, scalable ML solutions that meet business objectives in dynamic environments.

What types of projects do Microsoft Machine Learning engineers typically work on, and how does collaboration with other teams factor into their daily responsibilities?

Microsoft Machine Learning engineers often work on projects involving large-scale data analysis, building predictive models, and developing AI-powered features for Microsoft products and services. Collaboration is a key part of the role; engineers frequently partner with data scientists, software developers, and product managers to align machine learning solutions with business objectives and user needs. Regular cross-functional meetings, code reviews, and joint problem-solving sessions are common, fostering a collaborative and innovative work environment. This teamwork not only enhances project outcomes but also provides valuable learning opportunities across different disciplines.

What is a Microsoft Machine Learning Engineer?

A Microsoft Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models using Microsoft technologies such as Azure Machine Learning, Python, and various data science tools. They work with large datasets to develop predictive models, automate processes, and provide data-driven insights for businesses. Their responsibilities often include data preprocessing, model training, evaluation, and deploying solutions to the cloud. They collaborate closely with data engineers, data scientists, and software developers to integrate machine learning solutions into applications. Proficiency in Microsoft Azure and knowledge of AI frameworks are essential for this role.
What are popular job titles related to Microsoft Machine Learning jobs in Washington? For Microsoft Machine Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Microsoft Machine Learning jobs in Washington look for? The top searched job categories for Microsoft Machine Learning jobs in Washington are:
Microsoft Machine Learning jobs near you
Infographic showing various Microsoft Machine Learning job openings in Washington as of May 2026, with employment types broken down into 2% Internship, 3% As Needed, 70% Full Time, 23% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.
2027 Summer Intern Associate

2027 Summer Intern Associate

Analytica

Bethesda, MD • On-site, Remote

$16 - $21.50/hr

Part-time

Medical, Retirement

Posted 15 days ago

Job description

Analytica is seeking motivated students and early-career professionals to join our 2027 Summer Associate Internship Program an open opportunity designed to provide hands-on experience across multiple functional areas of the organization.
Interns will be placed on teams aligned with their academic background, interests, and business needs. Participants will contribute to meaningful projects, gain exposure to industry tools and practices, and develop professional skills in a collaborative environment.
This internship program supports career exploration across both technical and business disciplines, offering real-world experience supporting operational, analytical, and strategic initiatives.
Our company has been recognized byInc. Magazineas one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match. Potential Internship Tracks
Interns may be aligned to one of the following areas:Data Science Intern
  • Assist with data analysis, modeling, and exploratory data analysis
  • Support development of machine learning or statistical models
  • Prepare datasets for analysis and validation
  • Create dashboards, visualizations, and analytical summaries
  • Document methodologies and findings for stakeholders
Data Engineering Intern
  • Support development and maintenance of data pipelines
  • Assist with data ingestion, transformation, and integration workflows
  • Work with cloud or database technologies to manage datasets
  • Help improve data quality, governance, and automation processes
  • Participate in DataOps or ETL/ELT activities
Finance Intern
  • Assist with budgeting, forecasting, and financial reporting activities
  • Support financial analysis and cost tracking
  • Help prepare financial documentation and presentations
  • Analyze operational or program financial data
  • Support internal reporting and process improvements
Contracts / Business Operations Intern
  • Assist with contract administration and documentation tracking
  • Support proposal preparation and compliance activities
  • Help maintain contract records and reporting artifacts
  • Participate in process documentation and workflow improvements
  • Support coordination between legal, finance, and program teams
Human Resources Intern
  • Support recruitment, onboarding, and talent management activities
  • Assist with HR administrative tasks, record keeping, and reporting
  • Participate in employee engagement, training, or development initiatives
  • Help prepare HR communications, presentations, or surveys
  • Support HR process improvement and cross-functional projects
Core Responsibilities
Regardless of placement, interns will:
  • Support ongoing projects and operational initiatives
  • Conduct research, analysis, and documentation
  • Collaborate with cross-functional teams
  • Participate in meetings and team planning sessions
  • Deliver assigned tasks within established timelines
  • Learn organizational tools, systems, and best practices
  • Present internship outcomes or project learnings (if applicable)
Basic Qualifications
  • Currently pursuing Bachelor's, or Master's degree
  • Strong interest in learning and professional development
  • Strong communication and organizational skills
  • Ability to manage multiple tasks and priorities
  • Proficiency in Microsoft Office or Google Workspace
Preferred Qualifications
(Varies by internship track)
  • Data Science: Python, R, statistics, machine learning coursework
  • Data Engineering: SQL, databases, cloud platforms, or scripting experience
  • Finance: Accounting, finance, or economics coursework
  • Contracts / Business Operations: Business, legal studies, public administration, or related field
  • HR: Human Resources, Organizational Psychology, Business Administration, or related coursework
  • Analytical mindset and problem-solving ability
  • Experience working on team projects
What You'll Gain
  • Hands-on professional experience
  • Exposure to real-world business and technical environments
  • Mentorship from experienced professionals
  • Cross-functional collaboration opportunities
  • Resume-building project experience
  • Networking and career development support
Work Environment
We foster a collaborative, inclusive environment where interns are encouraged to contribute ideas, ask questions, and take ownership of their learning experience.Additional Requirements
  • Ability to obtain and maintain a Public Trust or security clearance
  • U.S. Citizenship based on contract needs

AboutANALYTICA:Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an establishedSBA small businessthat hasbeen recognized byInc. Magazineeach of the past three years as one of the 250 fastest-growingcompanies in theU.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services.The companyis appraised by theSoftware Engineering Institute (SEI) atCMMI® Maturity Level 3and is anISO 9001:2008 certifiedprovider.
Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.
To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.
  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.
By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.
When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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