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Machine Learning Internship Microsoft Jobs in Colorado

... 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 ...

Architect AI and machine learning solutions using Oracle Cloud Infrastructure, Oracle AI Services ... Microsoft Azure, or Google Cloud Platform The wage range for this role takes into account the wide ...

AI Engineering Intern

Boulder, CO · On-site

$17 - $25/hr

Complimentary expertise across AI and financial services, with experience from Google, Microsoft ... Familiarity through former internships, coursework or research with machine learning or AI, APIs ...

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Machine Learning Internship Microsoft information

What is a Machine Learning Internship at Microsoft?

A Machine Learning Internship at Microsoft is a temporary position for students or recent graduates to gain hands-on experience working on real-world machine learning projects. Interns collaborate with experienced engineers and researchers to develop, test, and deploy machine learning models and solutions that impact Microsoft products and services. The internship typically involves working with large datasets, implementing algorithms, and contributing to team goals while learning about cutting-edge AI technologies. Interns also benefit from mentorship, networking opportunities, and exposure to the latest industry practices.

What types of projects do interns typically work on during a Machine Learning Internship at Microsoft?

As a Machine Learning intern at Microsoft, you can expect to work on impactful, real-world projects that contribute to ongoing products or research initiatives. Interns often collaborate with data scientists, software engineers, and product teams to develop, test, and refine machine learning models for applications such as natural language processing, computer vision, or recommendation systems. You'll likely participate in code reviews, present your findings, and receive mentorship from experienced professionals, all within a collaborative and innovative environment. These projects not only enhance technical skills but also provide valuable exposure to large-scale, industry-leading systems.

What is the difference between Machine Learning Internship Microsoft vs Data Science Internship Microsoft?

AspectMachine Learning Internship MicrosoftData Science Internship Microsoft
Required SkillsProgramming, ML algorithms, Python, TensorFlowStatistics, data analysis, Python, SQL
Work EnvironmentResearch and development teams focused on ML modelsData analysis and visualization teams
Industry UsageAI and ML product developmentBusiness insights and data-driven decision making

Both internships are highly competitive roles at Microsoft, often requiring programming skills and relevant coursework. Machine Learning Internships focus on developing and deploying ML models, while Data Science Internships emphasize analyzing data to generate insights. Candidates should review the specific role descriptions to align their skills accordingly.

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

To thrive as a Machine Learning Intern at Microsoft, you need a solid foundation in mathematics, programming (especially Python), and machine learning concepts, typically supported by coursework or related projects. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like Azure are often expected. Strong problem-solving skills, curiosity, and effective communication help you collaborate with team members and present findings. These skills are crucial for contributing to innovative projects and translating complex data-driven insights into impactful solutions within a dynamic tech environment.
What are popular job titles related to Machine Learning Internship Microsoft jobs in Colorado? For Machine Learning Internship Microsoft jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Machine Learning Internship Microsoft jobs? Cities in Colorado with the most Machine Learning Internship Microsoft job openings:
Infographic showing various Machine Learning Internship Microsoft job openings in Colorado as of June 2026, with employment types broken down into 3% Internship, 73% Full Time, 17% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.
Cloud Security Manager - Azure Infrastructure & AI

Cloud Security Manager - Azure Infrastructure & AI

Deloitte

Denver, CO • On-site

$67.50 - $89.50/hr

Other

Posted 22 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Cloud Security Senior Manager, Azure Infrastructure & AI on the Enterprise Security team, you will be responsible for...

  • Leading Microsoft security teams for large, complex client engagements focused on Microsoft Azure and artificial intelligence (AI) security services, including strategy, design, implementation, and adoption
  • Leading multiple Azure and AI security projects in project leader and program manager roles, overseeing onsite and offshore engineers and architects to deliver quality outcomes aligned to client objectives
  • Designing and implementing security controls for Azure AI Services, including Azure OpenAI Service, Azure Machine Learning, Cognitive Services, and AI Studio, with protections embedded from development through deployment
  • Developing AI security playbooks and governance controls covering encryption, access control, data integrity, model scanning, model governance, data security, and secure deployment practices across Azure environments
  • Building and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent security guardrails across Azure platforms and AI services
  • Leading business development, client relationship management, technical health checks, proof of concept efforts, operational transitions, thought leadership, and talent development activities within the Microsoft Azure and AI security space

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 mentor and provide clear guidance to others

The team

Our Enterprise Security offering embeds security in all aspects of digital transformation by securing a client's technical backbone while enabling secure digital transformation. Includes security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.

Qualifications

Required:

  • One of the following:
    • 10+ years of experience in technical consulting, client problem solving, and architecting and designing security solutions with Microsoft Azure and AI security technologies, including Microsoft Entra ID, Active Directory, Microsoft Defender for Office 365, Microsoft Defender for Cloud, Microsoft Defender for Cloud Apps, Microsoft Defender for Endpoint, Microsoft Purview, Microsoft Sentinel, Microsoft Defender XDR, and Microsoft Security Copilot; and experience leading project scope, pricing, and delivery across multiple concurrent proposals and projects
    • 10+ years of experience in enterprise security operations, enterprise security architecture, or infrastructure operations, plus 3+ years of experience in consulting leadership roles focused on Microsoft security technologies
  • 5+ years of experience designing, implementing, or assessing security controls in Microsoft Azure environments, including Azure AI Services
  • 5+ years of experience with identity and access management, network security, data protection, logging, monitoring, vulnerability management, and infrastructure as code in cloud environments
  • 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:

  • Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related field
  • Master's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or Business Administration
  • Azure certifications, including Azure Security Engineer Associate or Azure Solutions Architect Expert
  • Experience with Microsoft Defender, Microsoft Sentinel, and Microsoft Entra ID
  • Experience with Azure OpenAI Service, Azure Machine Learning, Cognitive Services, or AI Studio
  • Experience with Microsoft Copilot or GitHub Copilot security controls

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 $163,400 to $322,100.

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.

#DeloitteNDO

Qualifications:

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Cloud Security Senior Manager, Azure Infrastructure & AI on the Enterprise Security team, you will be responsible for...

  • Leading Microsoft security teams for large, complex client engagements focused on Microsoft Azure and artificial intelligence (AI) security services, including strategy, design, implementation, and adoption
  • Leading multiple Azure and AI security projects in project leader and program manager roles, overseeing onsite and offshore engineers and architects to deliver quality outcomes aligned to client objectives
  • Designing and implementing security controls for Azure AI Services, including Azure OpenAI Service, Azure Machine Learning, Cognitive Services, and AI Studio, with protections embedded from development through deployment
  • Developing AI security playbooks and governance controls covering encryption, access control, data integrity, model scanning, model governance, data security, and secure deployment practices across Azure environments
  • Building and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent security guardrails across Azure platforms and AI services
  • Leading business development, client relationship management, technical health checks, proof of concept efforts, operational transitions, thought leadership, and talent development activities within the Microsoft Azure and AI security space

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 mentor and provide clear guidance to others

The team

Our Enterprise Security offering embeds security in all aspects of digital transformation by securing a client's technical backbone while enabling secure digital transformation. Includes security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.

Qualifications

Required:

  • One of the following:
    • 10+ years of experience in technical consulting, client problem solving, and architecting and designing security solutions with Microsoft Azure and AI security technologies, including Microsoft Entra ID, Active Directory, Microsoft Defender for Office 365, Microsoft Defender for Cloud, Microsoft Defender for Cloud Apps, Microsoft Defender for Endpoint, Microsoft Purview, Microsoft Sentinel, Microsoft Defender XDR, and Microsoft Security Copilot; and experience leading project scope, pricing, and delivery across multiple concurrent proposals and projects
    • 10+ years of experience in enterprise security operations, enterprise security architecture, or infrastructure operations, plus 3+ years of experience in consulting leadership roles focused on Microsoft security technologies
  • 5+ years of experience designing, implementing, or assessing security controls in Microsoft Azure environments, including Azure AI Services
  • 5+ years of experience with identity and access management, network security, data protection, logging, monitoring, vulnerability management, and infrastructure as code in cloud environments
  • 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:

  • Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related field
  • Master's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or Business Administration
  • Azure certifications, including Azure Security Engineer Associate or Azure Solutions Architect Expert
  • Experience with Microsoft Defender, Microsoft Sentinel, and Microsoft Entra ID
  • Experience with Azure OpenAI Service, Azure Machine Learning, Cognitive Services, or AI Studio
  • Experience with Microsoft Copilot or GitHub Copilot security controls

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 $163,400 to $322,100.

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.

#DeloitteNDO

Education:High School Diploma/GEDEmployment Type:

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