... 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 ...
... 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 ...
Required : • Active Top-Secret SCI (TS/SCI) with Polygraph • Experience with machine learning ... Microsoft Azure • Experience working with Cyber data to include examples such as Shodan and ...
Required : • Active Top-Secret SCI (TS/SCI) with Polygraph • Experience with machine learning ... Microsoft Azure • Experience working with Cyber data to include examples such as Shodan and ...
ORA_ON_SITE Description SAIC seeks an Artificial Intelligence/Machine Learning Systems Engineer ... Proficient skills using Microsoft Office applications (i.e., Word, Excel, Powerpoint, Sharepoint)
ORA_ON_SITE Description SAIC seeks an Artificial Intelligence/Machine Learning Systems Engineer ... Proficient skills using Microsoft Office applications (i.e., Word, Excel, Powerpoint, Sharepoint)
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 ...
Quick apply
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 ...
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 ...
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 ...
... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of ... Experience with change management, configuration management, Active Directory, and Microsoft Entra ...
... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of ... Experience with change management, configuration management, Active Directory, and Microsoft Entra ...
... or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...
New
... or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...
New
... or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...
... or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...
Mid-Level Data Scientist
Washington, DC · On-site +1
... Microsoft Fabric, and custom analytics solutions that support transportation safety investigations. Duties and Responsibilities: * Develop, train, and deploy machine learning models using Python, R ...
Mid-Level Data Scientist
Washington, DC · On-site +1
... Microsoft Fabric, and custom analytics solutions that support transportation safety investigations. Duties and Responsibilities: * Develop, train, and deploy machine learning models using Python, R ...
Microsoft Endpoint Configuration Manager (MECM) Administrator
Alexandria, VA · On-site
$130K - $140K/yr
... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of ... Experience with change management, configuration management, Active Directory, and Microsoft Entra ...
Quick apply
Microsoft Endpoint Configuration Manager (MECM) Administrator
Alexandria, VA · On-site
$130K - $140K/yr
... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of ... Experience with change management, configuration management, Active Directory, and Microsoft Entra ...
... or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...
New
... or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...
New
Mid-Level Data Scientist
Washington, DC · On-site +1
... Microsoft Fabric, and custom analytics solutions that support transportation safety investigations. Duties and Responsibilities: * Develop, train, and deploy machine learning models using Python, R ...
New
Mid-Level Data Scientist
Washington, DC · On-site +1
... Microsoft Fabric, and custom analytics solutions that support transportation safety investigations. Duties and Responsibilities: * Develop, train, and deploy machine learning models using Python, R ...
New
Apply machine learning methods, such as natural language processing (NLP), computer vision ... AWS), Microsoft Azure, or Google Cloud * Familiarity or desire to become familiar with ...
Apply machine learning methods, such as natural language processing (NLP), computer vision ... AWS), Microsoft Azure, or Google Cloud * Familiarity or desire to become familiar with ...
Microsoft Endpoint Configuration Manager (MECM) Administrator
Alexandria, VA · On-site
$130K - $140K/yr
... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of ... Experience with change management, configuration management, Active Directory, and Microsoft Entra ...
Microsoft Endpoint Configuration Manager (MECM) Administrator
Alexandria, VA · On-site
$130K - $140K/yr
... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of ... Experience with change management, configuration management, Active Directory, and Microsoft Entra ...
Mid-Level Data Scientist
Washington, DC · On-site
... Microsoft Fabric, and custom analytics solutions that support transportation safety investigations. Duties and Responsibilities: * Develop, train, and deploy machine learning models using Python, R ...
New
Mid-Level Data Scientist
Washington, DC · On-site
... Microsoft Fabric, and custom analytics solutions that support transportation safety investigations. Duties and Responsibilities: * Develop, train, and deploy machine learning models using Python, R ...
New
... or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...
... or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...
Mid-Level Data Scientist
Washington, DC · On-site +1
... Microsoft Fabric, and custom analytics solutions that support transportation safety investigations. Duties and Responsibilities: * Develop, train, and deploy machine learning models using Python, R ...
Mid-Level Data Scientist
Washington, DC · On-site +1
... Microsoft Fabric, and custom analytics solutions that support transportation safety investigations. Duties and Responsibilities: * Develop, train, and deploy machine learning models using Python, R ...
Apply machine learning methods, such as natural language processing (NLP), computer vision ... AWS), Microsoft Azure, or Google Cloud * Familiarity or desire to become familiar with ...
Apply machine learning methods, such as natural language processing (NLP), computer vision ... AWS), Microsoft Azure, or Google Cloud * Familiarity or desire to become familiar with ...
Apply machine learning methods, such as natural language processing (NLP), computer vision ... AWS), Microsoft Azure, or Google Cloud * Familiarity or desire to become familiar with ...
Apply machine learning methods, such as natural language processing (NLP), computer vision ... AWS), Microsoft Azure, or Google Cloud * Familiarity or desire to become familiar with ...
Apply machine learning methods, such as natural language processing (NLP), computer vision ... AWS), Microsoft Azure, or Google Cloud * Familiarity or desire to become familiar with ...
Apply machine learning methods, such as natural language processing (NLP), computer vision ... AWS), Microsoft Azure, or Google Cloud * Familiarity or desire to become familiar with ...
Microsoft Machine Learning information
See Washington salary details
$28.9K - $35.3K
5% of jobs
$37.5K is the 25th percentile. Wages below this are outliers.
$35.3K - $41.8K
59% of jobs
$41.8K - $48.2K
9% of jobs
$48.7K is the 75th percentile. Wages above this are outliers.
$48.2K - $54.6K
17% of jobs
$54.6K - $61.1K
4% of jobs
$61.1K - $67.5K
2% of jobs
$67.5K - $73.9K
3% of jobs
$73.9K - $80.4K
0% of jobs
$80.4K - $86.8K
0% of jobs
$86.8K - $93.2K
0% of jobs
$93.2K - $99.7K
0% of jobs
$28.9K
$48.2K
$99.7K
How much do microsoft machine learning jobs pay per year?
As of May 29, 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:
- Internship Machine Translation
- Arize Ai
- Sensory Science Intern
- Internship Bioinformatics Internships
- Intern Research Scientist Entomology
- Engineering Intern Nonprofit
- Artificial Intelligence Machine Learning Internship
- Contract Apple Machine Learning Engineer
- Internship Data Visualization
- Internship Literature Translation
Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
59th of 138 rated financial services
Job description
In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.
Recruiting for this role ends on 09/14/2026.
Work you'll do
As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.
- Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
- Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
- Analyze business, functional, and technical requirements and translate them into solution designs, workflows, and implementation plans
- Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
- Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications
- Identify delivery risks, track dependencies, and support project execution across cross-functional teams
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.
Qualifications
Required:
- Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
- 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions
- Experience using Python and Structured Query Language (SQL) to develop analytics, 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 AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
- Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
- Experience deploying machine learning or generative and agentic AI solutions into production environments
- Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn
- Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
- Experience with Tableau or Microsoft Power BI
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200-$229,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Qualifications:In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.
Recruiting for this role ends on 09/14/2026.
Work you'll do
As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.
- Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
- Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
- Analyze business, functional, and technical requirements and translate them into solution designs, workflows, and implementation plans
- Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
- Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications
- Identify delivery risks, track dependencies, and support project execution across cross-functional teams
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.
Qualifications
Required:
- Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
- 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions
- Experience using Python and Structured Query Language (SQL) to develop analytics, 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 AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
- Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
- Experience deploying machine learning or generative and agentic AI solutions into production environments
- Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn
- Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
- Experience with Tableau or Microsoft Power BI
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200-$229,100.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Education:Bachelor's DegreeEmployment Type: