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Remote Senior Machine Learning Engineer Jobs in Seattle, WA

Senior Applied ML Engineer

Seattle, WA ยท Remote

$125.25K - $183.70K/yr

We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning systems that power next-generation construction and digital twin solutions. You will apply advanced ML ...

Intern - ML Engineering

Seattle, WA ยท On-site +1

$25 - $45/hr

... Senior, interested and specializing in Machine Learning and Data Science to join our diverse team ... In this Hybrid or remote role, you may get an opportunity to contribute to the development ...

AI Data Engineer Senior Consultant

Seattle, WA ยท On-site +1

$120.60K - $163.90K/yr

AI Data Engineer Senior Consultant Position Summary Our Deloitte Human Capital team transforms ... Deliver governed datasets and feature engineering and serving patterns for machine learning ...

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data ...

Remote Senior Accountant (WA)

Seattle, WA ยท Remote

$75.70K - $95.20K/yr

The position is 100% remote, full-time or part-time with a minimum of25 hours per week. Do you want ... Our firm is a continuous learning environment. Even in a senior role, we will onboard you with our ...

Remote Senior Accountant (WA)

Seattle, WA ยท On-site +1

$84.20K - $105.80K/yr

The position is 100% remote, full-time or part-time with a minimum of 25 hours per week. Do you ... Our firm is a continuous learning environment. Even in a senior role, we will onboard you with our ...

AD, Data Science

Bellevue, WA ยท On-site +1

$189.68K - $296K/yr

Standard machine learning and statistical techniques including predictive models (time series, regression, etc.), classification, forecasting; and * Programming in Python and ML frameworks.

Sr Engineer, ML (NTD)

Redmond, WA ยท On-site +1

$117K - $160.70K/yr

Significant experience with modern machine learning, frameworks, and Python. * Practical experience ... This position is onsite in Redmond, WA, and not open to remote status at this time.

Senior Software Engineer

Tacoma, WA ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Senior Software Engineer

Seattle, WA ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Senior Software Engineer

Kent, WA ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Senior Software Engineer

Everett, WA ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Senior Software Engineer

Bellevue, WA ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Senior Software Engineer

Renton, WA ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Senior Software Engineer

Federal Way, WA ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Showing results 1-20

Remote Senior Machine Learning Engineer information

See Seattle, WA salary details

$85.9K

$163.1K

$218.5K

How much do remote senior machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for remote senior machine learning engineer in Seattle, WA is $163,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,400.00 and $183,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Senior Machine Learning Engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

How do Remote Senior Machine Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What does a Remote Senior Machine Learning Engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

What is the difference between Remote Senior Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Seattle, WA? For Remote Senior Machine Learning Engineer jobs in Seattle, WA, the most frequently searched job titles are:
Infographic showing various Remote Senior Machine Learning Engineer job openings in Seattle, WA as of May 2026, with employment types broken down into 1% As Needed, 92% Full Time, 3% Part Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $163,070 per year, or $78.4 per hour.

Senior Software Engineer - Platform & MLOps

Serko Ltd

Seattle, WA โ€ข On-site, Remote

$152K - $230K/yr

Full-time

Posted 10 days ago


Job description

At Serko, we believe something incredible happens when people come face-to-face. That's why we're on a mission to engineer a frictionless, next-generation business travel marketplace. We don't just manage travel; we are leveraging advanced AI and cutting-edge tech to eliminate the complexity of global movement.
When you join Serko, you join a global collective of passionate technologists who show up as their true selves to build world-class products. With established hubs across New Zealand, Australia, North America, India and China - your code and ideas will impact millions of corporate travelers worldwide.
If you're ready to challenge the status quo and build the future of travel tech, your next journey starts here.
In this role, you will champion the developer experience by building the internal platform and tooling that every AI engineer at our company trusts and relies on. You'll craft intuitive dashboards, user-friendly CLI tools, clean APIs, and elegant automation.
We're hiring 2 x Senior Full Stack Engineer to own the end-to-end development of our next-gen AI products.
Requirements
Your work will ensure that deploying and operating AI models is a seamless, safe, and empowering self-service journey, allowing our entire engineering community to thrive and scale together.
What You'll Do
Craft Beautiful Internal UIs: Develop intuitive and accessible internal platform interfaces-such as dashboards, model registries, and experiment trackers-using React and Next.js to elevate our internal developer experience.
Nurture Backend Infrastructure: Design and support reliable backend services and APIs in Python, ensuring our application teams can seamlessly tap into the platform's full capabilities.
Build Safe, Sustainable Automation: Create and refine thoughtful automation for model deployment, rollbacks, and scaling workflows using scripts, APIs, and Infrastructure as Code (IaC), embedding safety and predictability into every release.
Cultivate System Visibility: Weave monitoring and observability tools (such as Grafana, Prometheus, DataDog, and LangSmith) directly into the platform, giving our teams the clarity and insights they need to succeed.
Champion Code Quality & Trust: Write comprehensive testing, evaluation, and validation logic for machine learning pipeline components to ensure high reliability and product excellence.
Partner with Internal Teams: Act as a supportive resource for our internal engineering community, listening to their experiences and gathering empathetic feedback to continuously iterate on our tooling.
Share Knowledge Generously: Foster a collaborative environment by documenting systems clearly and contributing to engineering wikis and runbooks so that the entire team can grow together.
What you'll bring
We believe that exceptional engineering stems from continuous growth and diverse experiences. We are looking for a collaborative partner who has spent 5+ years honing their craft in full-stack engineering and wants to make a lasting impact on our developer community.
You will be a great fit if you bring:
Core Backend Comfort: A deep comfort with Python, paired with hands-on experience building dependable backend services and clean REST APIs.
An Eye for Internal Tooling: A genuine appreciation for crafting responsive dashboards and internal tools using TypeScript and React.
Production AI Experience: Experience caring for and managing machine learning-based applications within a live production ecosystem.
Cloud & DevOps Literacy: A foundational comfort navigating cloud platforms (AWS, GCP, or Azure), alongside a basic understanding of Docker and Kubernetes.
A Collaborative Spirit: A history of working hand-in-hand with data or machine learning engineering teams, respecting and learning from different technical perspectives.
Understanding of System Flow: A solid foundational understanding of databases, job queuing systems, and asynchronous workflows.
Creative Problem-Solving: A natural curiosity and comfort when facing open-ended or ambiguous technical challenges, with the ability to turn abstract ideas into structured, clear steps forward.
Benefits
At Serko, we aim to create a place where people can come and do their best work. This means you'll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact.
Some of the benefits of working at Serko are:
  • A competitive base pay
  • Medical Benefits
  • Discretionary incentive plan based on individual and company performance
  • Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways
  • Flexible work policy
  • The pay range is between $152,000 - $230,000 USD as a base salary offering annually.

A Note on Work Authorization: Applicants must be authorized to work for any employer in the U.S. At this time, we are unable to provide sponsorship or assume sponsorship for employment visa status (e.g., H-1B visa status).