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Aws Machine Learning Jobs in Portland, OR (NOW HIRING)

Cyber - AWS Cloud Security - Manager

Portland, OR · On-site

$117K - $159K/yr

Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS, including Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks * Experience with AI/ML ...

This data science role requires a minimum of 7 years of Python and data science experience, 3 years of AWS experience, and hands-on delivery of machine learning and Generative AI use cases. Core ...

New

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... the Machine Learning Models (TensorFlow, PyTorch, Scikit-learn) • AWS Serverless Architecture (Lambda, API Gateway, IAM) • Infrastructure as Code at Scale (Terraform) • Kubernetes based ...

Senior Forward Deployed Engineer- AWS

Portland, OR · On-site

$110K - $152K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Lead Forward Deployed Engineer - AWS

Portland, OR · On-site

$108K - $143K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

... machine learning solutions that have a direct impact on the business; help design and build ... AWS Cloud Integrations or similar platform • Open-Source products like Kafka, NIFI • ...

Build scalable machine learning and deep learning models using image, video, and multimodal sensor ... Experience with cloud platforms (Azure, AWS, or GCP) and MLOps practices. Ability to handle large ...

AI Engineer

Portland, OR · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Machine Learning * Python, C#, Java, JavaScript, C++ * Cloud Computing (Azure, AWS, GCP) * Image Science and Document Intelligence * Software Architecture and System Integration Professional Skills

... platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS) - Demonstrating proficiency in data analysis and visualization tools - Utilizing advanced skills in machine learning and ...

Showing results 21-40

Aws Machine Learning information

See Portland, OR salary details

$10

$74

$101

How much do aws machine learning jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for aws machine learning in Portland, OR is $74.31, according to ZipRecruiter salary data. Most workers in this role earn between $66.06 and $86.68 per hour, depending on experience, location, and employer.

What is an AWS Machine Learning?

An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.

What does an AWS Machine Learning do?

In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.

What are the key skills and qualifications needed for an AWS Machine Learning?

To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.

Does AWS use machine learning?

AWS offers a wide range of machine learning services and tools, such as Amazon SageMaker, which enable developers and data scientists to build, train, and deploy machine learning models. As a cloud provider, AWS integrates machine learning into its infrastructure to support various applications, making it a key platform for machine learning professionals. Knowledge of AWS services and machine learning concepts is valuable for roles like AWS Machine Learning specialists.

Is AWS Machine Learning a high paying job?

AWS Machine Learning roles are generally well-paid due to the specialized skills required, such as expertise in cloud computing, data science, and machine learning frameworks. Salaries vary based on experience, location, and certifications, but they tend to be higher than average for tech roles with similar responsibilities.

What are the most commonly searched types of Aws Machine Learning jobs in Portland, OR?

The most popular types of Aws Machine Learning jobs in Portland, OR are:

What are popular job titles related to Aws Machine Learning jobs in Portland, OR?

For Aws Machine Learning jobs in Portland, OR, the most frequently searched job titles are:

Infographic showing various Aws Machine Learning job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $154,542 per year, or $74.3 per hour.

Cyber - AWS Cloud Security - Manager

Deloitte

Portland, OR • On-site

$117K - $159K/yr

Full-time

Re-posted 2 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services


Job description

Join Deloitte's Cyber team as an AWS Cloud Security Manager and help organizations address the complex challenges and opportunities of today's cybersecurity landscape. Our team delivers solutions and managed services that simplify complexity, strengthen resilience, and support secure business growth. In this role, you will work with clients to design and implement cloud security strategies that align to business, risk, and compliance priorities across transformation initiatives.

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

Work you'll do

As an AWS Cloud Security Manager on the Enterprise Security team, you will be responsible for:

  • Lead the design and implementation of Amazon Web Services (AWS) cloud security solutions aligned to client business, risk, and compliance requirements
  • Manage security assessments, architecture reviews, and remediation planning for cloud environments, applications, and infrastructure
  • Oversee delivery teams executing cloud security transformation, modernization, and migration initiatives
  • Advise clients on AWS identity and access management, network security, logging and monitoring, encryption, and secure configuration practices
  • Drive project execution, stakeholder coordination, quality reviews, and issue resolution across multiple workstreams

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 helps embed security across digital transformation by securing a client's technical backbone while enabling secure business transformation. The team supports security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.

Qualifications

Required:

  • Bachelor's degree
  • 6+ years of experience in cybersecurity, information security, or cloud security
  • 3+ years of experience designing, implementing, or assessing security controls in Amazon Web Services (AWS) environments
  • 3+ years of experience leading project teams, workstreams, or client engagements
  • Experience with AWS identity and access management, network security, encryption, logging and monitoring, cloud security architecture, security assessments, remediation planning, and secure configuration of artificial intelligence (AI), machine learning (ML), generative AI, and agentic AI workloads on AWS, including Amazon Bedrock and Amazon SageMaker, as well as mitigation of risks such as prompt injection, model exfiltration, data poisoning, and insecure agentic AI orchestration
  • 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:

  • Professional certification in Amazon Web Services (AWS), cloud security, or cybersecurity
  • Experience with container security, application security, or DevSecOps practices
  • Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS, including Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks
  • Experience with AI/ML security risks and governance practices, including model and data protection, prompt injection defenses, and guardrails for autonomous AI agents
  • Experience supporting cloud transformation or migration programs, including application of security frameworks, regulatory requirements, or control standards in cloud environments
  • Master's degree

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 $134,500 to $265,100.

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:

Join Deloitte's Cyber team as an AWS Cloud Security Manager and help organizations address the complex challenges and opportunities of today's cybersecurity landscape. Our team delivers solutions and managed services that simplify complexity, strengthen resilience, and support secure business growth. In this role, you will work with clients to design and implement cloud security strategies that align to business, risk, and compliance priorities across transformation initiatives.

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

Work you'll do

As an AWS Cloud Security Manager on the Enterprise Security team, you will be responsible for:

  • Lead the design and implementation of Amazon Web Services (AWS) cloud security solutions aligned to client business, risk, and compliance requirements
  • Manage security assessments, architecture reviews, and remediation planning for cloud environments, applications, and infrastructure
  • Oversee delivery teams executing cloud security transformation, modernization, and migration initiatives
  • Advise clients on AWS identity and access management, network security, logging and monitoring, encryption, and secure configuration practices
  • Drive project execution, stakeholder coordination, quality reviews, and issue resolution across multiple workstreams

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 helps embed security across digital transformation by securing a client's technical backbone while enabling secure business transformation. The team supports security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.

Qualifications

Required:

  • Bachelor's degree
  • 6+ years of experience in cybersecurity, information security, or cloud security
  • 3+ years of experience designing, implementing, or assessing security controls in Amazon Web Services (AWS) environments
  • 3+ years of experience leading project teams, workstreams, or client engagements
  • Experience with AWS identity and access management, network security, encryption, logging and monitoring, cloud security architecture, security assessments, remediation planning, and secure configuration of artificial intelligence (AI), machine learning (ML), generative AI, and agentic AI workloads on AWS, including Amazon Bedrock and Amazon SageMaker, as well as mitigation of risks such as prompt injection, model exfiltration, data poisoning, and insecure agentic AI orchestration
  • 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:

  • Professional certification in Amazon Web Services (AWS), cloud security, or cybersecurity
  • Experience with container security, application security, or DevSecOps practices
  • Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS, including Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks
  • Experience with AI/ML security risks and governance practices, including model and data protection, prompt injection defenses, and guardrails for autonomous AI agents
  • Experience supporting cloud transformation or migration programs, including application of security frameworks, regulatory requirements, or control standards in cloud environments
  • Master's degree

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 $134,500 to $265,100.

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:

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