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Temp Artificial Intelligence Machine Learning Jobs in Renton, WA

Qualifications Required: 6+ years of experience in consulting or industry, including 4+ years in artificial intelligence/machine learning solution architecture 4+ years of experience with AI ...

Temporary Salary: $80-90 Hourly up to $90.00/hr Start Date: Jul 1, 2026 A leading technology ... future of artificial intelligence and machine learning. They are dedicated to pushing the ...

Machine Learning Engineer

Bellevue, WA · On-site

$143K - $214K/yr

Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our ...

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied ... Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside ...

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied ... Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside ...

... Artificial Intelligence. This involves developing sophisticated machine learning and large language models (LLMs) to understand user queries, retrieve and rank relevant documents across multiple ...

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Temp Artificial Intelligence Machine Learning information

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How much do temp artificial intelligence machine learning jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for temp artificial intelligence machine learning in Renton, WA is $29.64, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $31.35 per hour, depending on experience, location, and employer.

What is the difference between Temp Artificial Intelligence Machine Learning vs Data Analyst?

AspectTemp Artificial Intelligence Machine LearningData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of ML frameworksBachelor's in Statistics, Math, or related; proficiency in data visualization tools
Work EnvironmentTech companies, R&D labs, startups; project-based rolesBusiness settings, finance, marketing; focus on data interpretation
Industry UsageAI/ML development, research, product teamsBusiness intelligence, reporting, decision-making

Temp Artificial Intelligence Machine Learning roles focus on developing and implementing AI models, requiring technical skills in ML frameworks. Data Analysts interpret data to inform business decisions, often using visualization tools. While both roles work with data, AI/ML positions are more technical and research-oriented, whereas Data Analysts focus on data interpretation and reporting.

What are Temp Artificial Intelligence Machine Learning jobs?

Temp Artificial Intelligence Machine Learning jobs are temporary positions focused on developing, testing, or implementing AI and machine learning solutions. These roles often involve tasks such as data analysis, model training, algorithm development, and assisting with AI projects on a contractual or short-term basis. Employers typically seek candidates with programming skills, knowledge of ML frameworks, and an understanding of data science concepts. Temp AI/ML jobs are a great way to gain experience in the field, work on innovative projects, and potentially transition into permanent roles.

How does a Temp Artificial Intelligence Machine Learning professional typically collaborate with permanent team members on projects?

Temp AI/ML professionals often work closely with permanent team members to quickly integrate into ongoing projects and contribute specialized expertise. They usually participate in daily stand-up meetings, collaborate on code reviews, and share findings from their data analyses to ensure alignment with the team's goals. Effective communication and adaptability are key, as temp professionals may be assigned to high-priority tasks or fill knowledge gaps within the team. This collaborative environment enables temporary staff to make meaningful contributions while gaining valuable experience with diverse workflows and technologies.

What are the key skills and qualifications needed to thrive as a Temp Artificial Intelligence Machine Learning specialist, and why are they important?

To thrive as a Temp Artificial Intelligence Machine Learning specialist, you need a strong background in mathematics, statistics, programming (commonly Python), and experience with machine learning algorithms, supported by a relevant degree or certifications. Familiarity with tools such as TensorFlow, PyTorch, Scikit-learn, and cloud platforms like AWS or Azure is typically required. Analytical thinking, adaptability, and effective communication are crucial soft skills for problem-solving and collaborating with diverse teams. These competencies enable you to rapidly contribute to complex projects, develop effective models, and align solutions with organizational goals in dynamic environments.
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Renton, WA? The most popular types of Artificial Intelligence Machine Learning jobs in Renton, WA are:
What are popular job titles related to Temp Artificial Intelligence Machine Learning jobs in Renton, WA? For Temp Artificial Intelligence Machine Learning jobs in Renton, WA, the most frequently searched job titles are:
What cities near Renton, WA are hiring for Temp Artificial Intelligence Machine Learning jobs? Cities near Renton, WA with the most Temp Artificial Intelligence Machine Learning job openings:
Senior Consultant - Data Science / Data Lake

Senior Consultant - Data Science / Data Lake

Deloitte

Seattle, WA

Other

Posted 19 days ago


Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

71st of 146 rated financial services


Job description

Data Lake - Senior Consultant

Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role with opportunities to grow your impact? At Deloitte, you'll help organizations modernize security operations, improve cyber resilience, and use data-driven insights to strengthen threat detection and response. In this Senior Consultant, Strategy, Growth, and Transformation role, you will work with Deloitte's Cyber Defense & Resilience Security Operations team to support complex cyber data, analytics, and transformation initiatives across leading organizations.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Senior Consultant, Strategy, Growth, and Transformation on the Cyber Defense & Resilience Security Operations team, you will be responsible for

  • Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
  • Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response acceleration
  • Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
  • Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
  • Preparing analyses, client deliverables, and recommendations while coordinating with cross-functional stakeholders and project team members

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

Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. The team helps clients modernize security data environments, improve data operations, and apply scalable analytics and artificial intelligence capabilities to cybersecurity challenges. Through a combination of advisory, implementation, and managed services support, Deloitte helps organizations strengthen cyber operations and advance business performance.

Qualifications

Required:

  • 3+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these
  • 2+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
  • 2+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, 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 operations center (SOC) threat hunting or incident response
  • Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
  • 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:

  • Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
  • Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response acceleration
  • Experience parsing and normalizing cyber or information technology telemetry datasets
  • Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
  • Experience with Apache Kafka, Storm, or Spark
  • Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio

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 $105,400 to $207,800.

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.


#CDRCyber27

Qualifications:

Data Lake - Senior Consultant

Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role with opportunities to grow your impact? At Deloitte, you'll help organizations modernize security operations, improve cyber resilience, and use data-driven insights to strengthen threat detection and response. In this Senior Consultant, Strategy, Growth, and Transformation role, you will work with Deloitte's Cyber Defense & Resilience Security Operations team to support complex cyber data, analytics, and transformation initiatives across leading organizations.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Senior Consultant, Strategy, Growth, and Transformation on the Cyber Defense & Resilience Security Operations team, you will be responsible for

  • Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
  • Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response acceleration
  • Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
  • Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
  • Preparing analyses, client deliverables, and recommendations while coordinating with cross-functional stakeholders and project team members

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

Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. The team helps clients modernize security data environments, improve data operations, and apply scalable analytics and artificial intelligence capabilities to cybersecurity challenges. Through a combination of advisory, implementation, and managed services support, Deloitte helps organizations strengthen cyber operations and advance business performance.

Qualifications

Required:

  • 3+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these
  • 2+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
  • 2+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, 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 operations center (SOC) threat hunting or incident response
  • Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
  • 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:

  • Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
  • Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response acceleration
  • Experience parsing and normalizing cyber or information technology telemetry datasets
  • Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
  • Experience with Apache Kafka, Storm, or Spark
  • Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio

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 $105,400 to $207,800.

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.


#CDRCyber27

Education:Bachelor's DegreeEmployment Type:

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