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Artificial Intelligence Machine Learning Engineer Jobs in Kent, WA

Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and ...

Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and ...

Machine Learning Engineer

Bellevue, WA ยท On-site

$161.14 - $200/hr

  • Medical

  • Life

  • Retirement

  • PTO

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Machine Learning Engineer

Bellevue, WA ยท On-site

$161.14 - $200/hr

  • Medical

  • Life

  • Retirement

  • PTO

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Machine Learning Engineer

Bellevue, WA ยท On-site

  • Medical

  • Life

  • Retirement

  • PTO

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Machine Learning Engineer

Bellevue, WA ยท On-site

$161.14 - $200/hr

  • Medical

  • Life

  • Retirement

  • PTO

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Machine Learning Engineer

Seattle, WA ยท On-site

$175 - $308.50/hr

  • Medical

  • Dental

  • Retirement

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

They are seeking an Applied Machine Learning Engineer to develop products for their clients and the greenhouse industry, focusing on creating machine learning models and retraining systems.

Machine Learning Engineer

Seattle, WA

$175K - $308K/yr

  • Medical

  • Dental

  • Retirement

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Machine Learning Engineer

Seattle, WA ยท On-site

$120K - $180K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... machine learning engineers. We are looking for developers who are excited about staying at the ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Showing results 21-40

Artificial Intelligence Machine Learning Engineer information

See Kent, WA salary details

$35.6K

$145.4K

$218.4K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for artificial intelligence machine learning engineer in Kent, WA is $145,366.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $175,000.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Kent, WA look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Kent, WA are:

What cities near Kent, WA are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Kent, WA with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Kent, WA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $145,366 per year, or $69.9 per hour.

Machine Learning Engineer

Adidev Technologies Inc

Seattle, WA โ€ข On-site

Full-time

Re-posted 6 days ago


Job description

Role: Machine Learning Engineer
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Summary:
Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.
About Adidev Technologies Inc.
Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.
Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.
Global Presence: Our diverse employee workforce spans four continents.
Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.
How We'll Guide You
Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.
Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.
Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.
Career Growth: We facilitate industry experience to propel your technical journey forward.
Key Responsibilities:
โ€ข Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
โ€ข Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
โ€ข Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
โ€ข Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
โ€ข Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
โ€ข Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
โ€ข Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
โ€ข Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
โ€ข Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.
Requirements:
โ€ข Degree in Computer Science, Engineering, Statistics, or a related technical field.
โ€ข Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.
โ€ข Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.
โ€ข Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
โ€ข Strong foundational understanding of algorithmic complexity and data structure optimization.
โ€ข Excellent problem-solving, collaboration, and communication abilities.
โ€ข Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.
โ€ข Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
โ€ข Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.
โ€ข Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
โ€ข Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.
โ€ข Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.
โ€ข Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.
โ€ข Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.
How to Apply:
Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.
Perks and Beyond!
Competitive salary range: Based on experience and market value
Pack your bags! Paid relocation is on us.
Support, even from afar, with our remote assistance.
Regular salary reviews? You betcha!
Ready to Embark?
we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough