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Microsoft Machine Learning Jobs in Washington (NOW HIRING)

Topologe, LLC

AI Team Lead

Alexandria, VA · On-site

... Machine Learning, Vertex AI, SageMaker, or equivalent platforms. * Experience with cloud platforms including Microsoft Azure, AWS, or Google Cloud Platform, with expertise deploying scalable AI ...

New

Ardent Eagle Solutions

Senior Data Engineer

Arlington, VA · On-site +1

$135K - $205K/yr

Three (3)+ years utilizing Microsoft Azure Synapse Analytics and Azure Machine Learning. * Three (3)+ years developing Python-based data engineering solutions utilizing Pandas. * Experience designing ...

Ardent Eagle Solutions

Senior Data Engineer

Arlington, VA · On-site +1

$135K - $205K/yr

Three (3)+ years utilizing Microsoft Azure Synapse Analytics and Azure Machine Learning. * Three (3)+ years developing Python-based data engineering solutions utilizing Pandas. * Experience designing ...

VTG

AI/ML Systems Engineer

Chantilly, VA

$100K - $195K/yr

Artificial Intelligence and/or Machine Learning technologies applied to space systems * System ... Proficient skills using Microsoft Office applications (i.e., Word, Excel, Powerpoint, Sharepoint)

N4 Solutions, LLC

Data Scientist

Bethesda, MD

The ideal candidate will design, develop, and implement machine learning, natural language ... with Microsoft Office applications including Word, Excel, PowerPoint, and Outlook. · U.S.

Staffed4U

Data Engineer

Chantilly, VA

$118K - $142K/yr

... Microsoft Office files. * Build scalable and maintainable data architectures to support analytics and machine learning workloads. * Optimize data processing workflows and queries for performance ...

N4 Solutions

Data Scientist

Bethesda, MD · On-site

The ideal candidate will design, develop, and implement machine learning, natural language ... Proficiency with Microsoft Office applications including Word, Excel, PowerPoint, and Outlook. * U.

N4 Solutions, LLC

Data Scientist

Bethesda, MD · On-site

The ideal candidate will design, develop, and implement machine learning, natural language ... with Microsoft Office applications including Word, Excel, PowerPoint, and Outlook. • U.S.

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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 Jul 13, 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.

AI Team Lead

Topologe, LLC

Alexandria, VA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

New

Job description

Topologe, LLC is a growing small business with its headquarters located in Washington, DC. It is a certified Small Disadvantaged Business. Topologe provides Software Engineering, Systems engineering, AI/Machine Learning, IT Infrastructure, Help Desk, Information Assurance, Project Management and Network Engineering Services. Topologe supports multiple DoD clients to include the U.S. Air Force, U.S. Army Corps of Engineers, Federal Aviation Administration, Dept of Interior Fish and Wildlife Service, among others.

We are currently searching for an AI Team Lead for hybrid work (1-2 days in office/week). Though candidates may reside anywhere in the US, work will be completed in Eastern Standard Time (EST) hours. Candidates must be a Data Scientist will be responsible for the following:

Principal Responsibilities

  • Continue the development and implementation of a user-friendly Graphical User Interface (GUI) based data products/applications/services to support SOM efforts using scientifically vetted/published packages and modules.
  • Write and optimize code for processing large structured and unstructured data-sets
  • Lead, mentor, and grow a multidisciplinary team of AI engineers, data scientists, machine learning engineers, and software developers through technical guidance, coaching, and performance management.
  • Serve as the technical authority for machine learning, deep learning, generative AI, natural language processing (NLP), computer vision, predictive analytics, and related AI technologies.
  • Architect scalable AI platforms, MLOps pipelines, model deployment strategies, and cloud-native AI infrastructure
  • Communicate effectively with other domain experts for data acquisition requests between internal departments.
  • Develop and implement testing protocols for software packages and modules.
  • Follow and comply with business standards and security framework for software development tasks
  • Provide expert support in developing/reframing Statistical and Machine Learning algorithms being deployed in data products/applications/services.
  • Assist in quality assurance/quality control for data being used on pilot projects consistent with developed SOPs and reframe SOPs based on feedback from pilot projects.
  • Assist in piloting projects that are implementing continuously improving protocols to inform and further reframe the protocol.

Qualifications

  • Bachelor''s degree in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, Mathematics, Statistics, or a related technical discipline; Master''s degree preferred.
  • 10+ years of progressive experience in software engineering, machine learning, artificial intelligence, or data science, including at least 4 years in technical leadership or people management.
  • Software development experience with statistical software and packages, including machine learning frameworks Python.
  • Experience deploying full stack, production-ready apps is a plus.
  • Strong proficiency in Python and experience with AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, or similar technologies.
  • Experience designing and implementing MLOps pipelines using tools such as MLflow, Kubeflow, Azure Machine Learning, Vertex AI, SageMaker, or equivalent platforms.
  • Experience with cloud platforms including Microsoft Azure, AWS, or Google Cloud Platform, with expertise deploying scalable AI workloads.
  • Strong understanding of data engineering concepts, SQL/NoSQL databases, vector databases, distributed computing, and ETL/ELT pipelines.
  • Experience developing RESTful APIs, microservices, containerized applications (Docker), and orchestration platforms such as Kubernetes.
  • Ability to communicate and coordinate effectively with multiple partners, working in teams.
  • Ability to manage a complex task, including short-term and long-term planning, goal and policy setting, and monitoring accomplishments.

What We Offer:

  • Multiple Medical/Dental/Vision insurance options
  • 401(k) Retirement Plan w/ matching Short Term and Long Term Insurance
  • 11 Paid Holidays
  • 3 weeks PTO
  • Flexible Spending Account

We provide a comprehensive benefits package, including medical, dental, and vision insurance; paid time off and holidays; a flexible spending account; a 401(k) retirement plan with matching; Life insurance, short-term/long-term Disability insurance and more.

Apply