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Manager Machine Learning Finance Jobs in Boise, ID

AI/ML Engineer/Architect

Boise, ID · On-site

$140 - $210/hr

  • Medical

  • Dental

  • Vision

  • PTO

... management. * Drive adoption of Generative AI, Agentic AI, coding assistants, and intelligent ... Stay current on advancements in machine learning, large language models, agent frameworks, and AI ...

Sr. Product Manager I

Boise, ID

$120K - $158K/yr

At least 5 years of experience in structured financial data management platforms across one or more ... Experience of working on AI, machine learning and/or LLM based projects is an edge. * Experience of ...

Sr. Product Manager I

Boise, ID · On-site

$120K - $158K/yr

At least 5 years of experience in structured financial data management platforms across one or more ... Experience of working on AI, machine learning and/or LLM based projects is an edge. * Experience of ...

US Expansion AI Program Manager

Boise, ID · On-site

$107 - $193/hr

  • Medical

  • Dental

  • Vision

  • PTO

Experience delivering AI or machine learning solutions in construction, engineering, or industrial ... Job Profile(s) Project/Program Manager P4 - Project/Program Manager P4 Salary US base salary range ...

... statistics, machine learning and AI to develop solutions that solve complex business and ... management and technical leads.Proactively search for solutions to relevant business problems in ...

... statistics, machine learning and AI to develop solutions that solve complex business and ... alert management and technical leads. * Proactively search for solutions to relevant business ...

... statistics, machine learning and AI to develop solutions that solve complex business and ... alert management and technical leads. * Proactively search for solutions to relevant business ...

Data Scientist III

Boise, ID · On-site

$110 - $165/hr

... statistics, machine learning and AI to develop solutions that solve complex business and ... alert management and technical leads. * Proactively search for solutions to relevant business ...

... statistics, machine learning and AI to develop solutions that solve complex business and ... alert management and technical leads. * Proactively search for solutions to relevant business ...

Showing results 21-40

Manager Machine Learning Finance information

See Boise, ID salary details

$40K

$118.3K

$160.8K

How much do manager machine learning finance jobs pay per year?

As of Aug 19, 2026, the average yearly pay for manager machine learning finance in Boise, ID is $118,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,900.00 and $159,900.00 per year, depending on experience, location, and employer.

What does a manager of machine learning in finance do?

A Manager of Machine Learning in Finance oversees teams that develop and implement machine learning models to solve financial problems, such as risk assessment, fraud detection, and algorithmic trading. They coordinate with data scientists, engineers, and business stakeholders to ensure models meet regulatory standards and align with company goals. Additionally, they are responsible for project management, mentoring team members, and staying updated with advancements in both finance and artificial intelligence.

How does a manager of machine learning in finance typically collaborate with cross-functional teams?

A Manager of Machine Learning in Finance often works closely with data scientists, software engineers, financial analysts, and business stakeholders. They are responsible for translating business problems into machine learning solutions and ensuring models meet both technical and regulatory requirements. Regular meetings and clear communication are essential, as the manager must align team efforts with organizational goals, facilitate knowledge sharing, and integrate model outputs into financial decision-making processes. Collaboration also involves coordinating with IT for data infrastructure and with compliance teams to uphold data privacy standards.

What are the key skills and qualifications needed to thrive as a manager of machine learning in finance, and why are they important?

To thrive as a Manager of Machine Learning in Finance, you need strong expertise in machine learning, statistics, and financial analysis, typically supported by a relevant advanced degree and experience in both data science and finance. Familiarity with programming languages like Python or R, cloud platforms, and machine learning frameworks such as TensorFlow or Scikit-learn is essential, along with knowledge of regulatory compliance systems. Exceptional leadership, strategic thinking, and communication skills set top candidates apart by enabling effective team management and cross-functional collaboration. These skills and qualities are crucial to drive innovative solutions, ensure regulatory adherence, and deliver business value in a complex financial environment.

What is the difference between Manager Machine Learning Finance vs Data Scientist Finance?

AspectManager Machine Learning FinanceData Scientist Finance
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or Finance; certifications in machine learning or data analysisBachelor's or Master's in Data Science, Statistics, or related fields; often includes certifications in data analysis or programming
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in financeAnalyzes data, develops models, supports decision-making in finance teams
Employer & Industry UsageFinancial institutions, hedge funds, investment firmsFinancial firms, banks, fintech companies

The Manager Machine Learning Finance oversees teams and projects applying machine learning to finance problems, focusing on leadership and strategy. In contrast, Data Scientists in finance primarily analyze data and develop models to support financial decisions. Both roles require strong technical skills, but the manager role emphasizes team management and project oversight.

Can manager machine learning finance be used in finance?

A Manager of Machine Learning in Finance oversees the development and implementation of machine learning models to improve financial analysis, risk management, and trading strategies. This role involves skills in data science, programming, and finance, and is used to enhance decision-making processes and automate tasks within financial institutions.
Infographic showing various Manager Machine Learning Finance job openings in Boise, ID as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $118,329 per year, or $56.9 per hour.

Cloud Security Senior Manager - Azure Infrastructure & AI

Deloitte

Boise, ID

$62.25 - $82.75/hr

Full-time

Re-posted yesterday


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 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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