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Machine Learning Jobs in Boise, ID (NOW HIRING)

You will apply your knowledge in mathematics, statistics, machine learning, and data engineering to build scalable solutions on Snowflake-based finance data. These solutions improve prediction ...

You will apply your knowledge in mathematics, statistics, machine learning, and data engineering to build scalable solutions on Snowflake-based finance data. These solutions improve prediction ...

Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and improve product quality. Extract relevant ...

Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and improve product quality. Extract relevant ...

Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and improve product quality.Extract relevant ...

Senior AI/ML Engineer

Boise, ID · On-site +1

$99K - $136K/yr

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV ...

Data Analyst V

Boise, ID · Remote

$130K/yr

Apply advanced statistical modeling, machine learning, and natural language processing (NLP) to analyze large-scale customer support interactions (e.g., chat logs, call transcripts, support tickets ...

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply ...

Data Analyst

Boise, ID

$65K - $100K/yr

The ideal candidate is comfortable automating workflows and leveraging advanced analytical techniques, including Python programming, machine learning (ML), and emerging Generative AI tools. Reporting ...

Data Analyst

Boise, ID

$65K - $100K/yr

The ideal candidate is comfortable automating workflows and leveraging advanced analytical techniques, including Python programming, machine learning (ML), and emerging Generative AI tools. Reporting ...

Data Analyst

Boise, ID · On-site

$65K - $100K/yr

The ideal candidate is comfortable automating workflows and leveraging advanced analytical techniques, including Python programming, machine learning (ML), and emerging Generative AI tools. Reporting ...

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Machine Learning information

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$24.3K

$40.5K

$83.8K

How much do machine learning jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine learning in Boise, ID is $40,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,900.00 and $43,800.00 per year, depending on experience, location, and employer.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are the most commonly searched types of Machine Learning jobs in Boise, ID? The most popular types of Machine Learning jobs in Boise, ID are:
What are popular job titles related to Machine Learning jobs in Boise, ID? For Machine Learning jobs in Boise, ID, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Boise, ID look for? The top searched job categories for Machine Learning jobs in Boise, ID are:
What cities near Boise, ID are hiring for Machine Learning jobs? Cities near Boise, ID with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Boise, ID as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $40,530 per year, or $19.5 per hour.
Cloud Security Manager - Azure Infrastructure & AI

Cloud Security Manager - Azure Infrastructure & AI

Deloitte

Boise, ID

$62.25 - $82.75/hr

Other

Posted 20 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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