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Microsoft Machine Learning Jobs in Washington (NOW HIRING)

NewGen Technologies

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning ... AWS, Microsoft and Azure About Us For more than 20 years, NewGen Technologies has solved our ...

NewGen

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning ... AWS, Microsoft and Azure About Us For more than 20 years, NewGen Technologies has solved our ...

Deloitte

Finance Analytics & AI Senior Consultant

Mclean, VA · On-site

$117K/yr

... machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments * Experience architecting generative and agentic ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Experience with machine learning classification, NLP, model evaluation, or predictive analytics ... Strong Excel and Microsoft Office skills. * Ability to explain technical findings to non-technical ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Experience with machine learning classification, NLP, model evaluation, or predictive analytics ... Strong Excel and Microsoft Office skills. * Ability to explain technical findings to non-technical ...

Nwis

Data Engineer

Sterling, VA

$99K - $206K/yr

Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning ... AWS, Microsoft and Azure. TS/SCI with Polygraph Required Day 1 Salary & Benefits The salary ...

Nightwing

Data Engineer

Sterling, VA · On-site

$113K - $136K/yr

Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning ... of AWS, Microsoft and Azure. TS/SCI with Polygraph Required Day 1 At Nightwing, we value ...

Nightwing

Data Engineer with Security Clearance

Sterling, VA · On-site

$113K - $136K/yr

Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning ... of AWS, Microsoft and Azure. TS/SCI with Polygraph Required Day 1 At Nightwing, we value ...

SAIC

AI/ML Systems Engineer

Chantilly, VA

$160K - $200K/yr

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

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All JobsMicrosoft Machine Learning JobsMicrosoft Machine Learning Jobs in Washington

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 Jul 14, 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 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, with an average salary of $48,230 per year, or $23.2 per hour.

Senior AI/ML Process Engineer

Age Solutions

Fort George G Meade, MD • On-site

$170K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Job description

About Us
AGE Solutions is a premier technology and professional services company, providing in-depth consulting, advanced technology solutions, and essential services throughout the U.S. government, defense, and intelligence sectors. Prioritizing innovation and client-focused solutions, we assist major agencies in addressing intricate issues and ensuring a more secure future.

AGE Solutions is seeking a Senior AI/ML Process Engineer to support our DoD customer in modernizing Risk Management Framework (RMF) processes through automation, artificial intelligence, and emerging technologies.

This position will help identify, evaluate, and recommend opportunities to leverage Artificial Intelligence (AI), Machine Learning (ML), Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and intelligent document processing technologies to improve the speed, accuracy, and efficiency of cybersecurity and risk management operations.

The successful candidate will work closely with process engineers, cybersecurity professionals, and government stakeholders to assess current workflows and develop innovative solutions that accelerate RMF execution and reduce manual effort.

Responsibilities Include:

  • Conduct analysis of RMF-related business processes and identify opportunities for AI-enabled modernization.
  • Evaluate emerging technologies including Generative AI, Machine Learning, Large Language Models (LLMs), Natural Language Processing (NLP), and intelligent document processing.
  • Assess opportunities to automate cybersecurity and RMF activities, including:
    • Control assessments
    • Evidence reviews
    • STIG development and maintenance
    • Ticket triage
    • Connection package reviews
    • Cross Domain risk analysis
  • Collaborate with process engineers to develop future-state workflows incorporating AI and automation technologies.
  • Support development of implementation roadmaps and modernization strategies.
  • Research commercial and government AI capabilities applicable to RMF and cybersecurity operations.
  • Develop executive briefings, white papers, recommendations, and technical documentation.
  • Support pilot initiatives and proof-of-concept activities.
  • Assist with workflow automation initiatives using ServiceNow, Jira, RPA, and related technologies.

Required Skills, Qualifications and Experience:

  • Education:
    • Bachelor's degree in engineering, Computer Science, Information Systems, Business, or related discipline.
  • Experience:
    • 15 Years of experience with a minimum of (5) years' experience in process improvement, business process analysis, cybersecurity operations, AI/ML technologies, or digital transformation initiatives.
    • Experience evaluating or implementing AI, ML, Generative AI, NLP, or intelligent automation solutions.
    • Experience conducting technical analysis and developing recommendations for process improvement initiatives.
  • Security Clearance:
    • Must have a current DoD Secret Clearance.
  • Certifications:
    • Must have a Current DoD 8570/8140 compliant certification (Security+, CAP, CISSP, CISM, or equivalent).
      • Additional role-specific certifications in process improvement, automation, AI/ML, or cybersecurity are highly desired.
  • Skills and Knowledge:
    • Demonstrated proficiency with Microsoft Visio, including process modeling, BPMN, swim-lane diagrams, and workflow analysis.
    • Demonstrated proficiency with Microsoft PowerPoint and executive-level presentation development.
    • Working knowledge of DoD RMF, NIST SP 800-37, NIST SP 800-53, CNSSI-1253, and DoDI 8500.01/8510.01.
    • Familiarity with STIG/SRG/CCI development, A&A processes, Cloud A&A processes, or cloud cybersecurity architecture.
    • Working knowledge of workflow automation technologies including ServiceNow, Jira, and Robotic Process Automation (RPA).
    • Knowledge of AI/ML concepts, LLMs, Generative AI, NLP, and intelligent document processing technologies.
    • Strong analytical, research, technical writing, and problem-solving skills.
  • Location:
    • This is a hybrid position. Must be able to travel periodically to Fort Meade, MD and Chambersburg, PA to support customer meetings, workshops, and program activities.

Preferred Qualifications:

  • Experience supporting DISA, DoD, or federal cybersecurity programs.
  • Experience with Azure AI, AWS AI/ML services, OpenAI, Anthropic, or similar enterprise AI platforms.
  • Familiarity with AI governance, responsible AI principles, and cybersecurity applications of AI.
  • Experience developing strategic technology roadmaps and modernization recommendations.
  • Certifications in cloud-based Artificial Intelligence (AI) and Machine Learning (ML) technologies, including AWS Certified AI Practitioner, Microsoft Azure AI Fundamentals, Azure AI Engineer Associate, AWS Machine Learning Specialty, or equivalent credentials highly preferred.
  • Lean Six Sigma certification or process improvement experience.

The projected salary range for this position is $170,000+ annually. Final compensation will be determined based on factors including years of relevant experience, active security clearance level, certifications, technical skillset, contract requirements, and overall qualifications.

At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally.

  • 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it.
  • Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact.
  • 401(k) with Match: We match 3% of your contributions with immediate vesting.
  • Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents.
  • Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs.
  • Parental Leave: 15 days of fully paid leave for new parents, because family matters.
  • Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving.
  • Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right.
  • Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create.

At AGE, you'll do work that matters, supported by a company that delivers for its people.

Apply