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Home Based Python Machine Learning Jobs in Tacoma, WA

Capgroup

Senior Machine Learning Engineer

Seattle, WA

$118.90K - $163.30K/yr

... Python (or similar modern language). * Demonstrated experience designing and buildinglarge ... Experience working with Generative AI, LLM APIs, retrieval systems, or agent-based architectures.

MORSE Corp

Machine Learning Engineer

Seattle, WA · On-site

$90K - $210K/yr

MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle ... Proficiency in Python * Experience with cloud platforms (AWS and Azure) * Experience with Docker

Amperity

Lead Machine Learning Engineer

Seattle, WA

$116.60K - $153.60K/yr

Software engineering skills with experience in Python and familiarity with ML frameworks (e.g ... Machine learning models for entity resolution, classification, and customer analytics. * AI coding ...

Amperity

Lead Machine Learning Engineer

Seattle, WA · On-site

$116.60K - $153.60K/yr

Software engineering skills with experience in Python and familiarity with ML frameworks (e.g ... Machine learning models for entity resolution, classification, and customer analytics. * AI coding ...

Axon

Senior Machine Learning Engineer

Seattle, WA · Hybrid

$139.40K - $183.80K/yr

Proficiency in Python and C++, familiarity with ML frameworks such as TensorFlow, or PyTorch ... This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in ...

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How much do home based python machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for home based python machine learning in Tacoma, WA is $62.95, according to ZipRecruiter salary data. Most workers in this role earn between $51.88 and $71.49 per hour, depending on experience, location, and employer.

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What are the most commonly searched types of Python Machine Learning jobs in Tacoma, WA? The most popular types of Python Machine Learning jobs in Tacoma, WA are:
What are popular job titles related to Home Based Python Machine Learning jobs in Tacoma, WA? For Home Based Python Machine Learning jobs in Tacoma, WA, the most frequently searched job titles are:
What job categories do people searching Home Based Python Machine Learning jobs in Tacoma, WA look for? The top searched job categories for Home Based Python Machine Learning jobs in Tacoma, WA are:
What cities near Tacoma, WA are hiring for Home Based Python Machine Learning jobs? Cities near Tacoma, WA with the most Home Based Python Machine Learning job openings:
Home Based Python Machine Learning jobs near you

Senior Machine Learning Engineer

Capgroup

Seattle, WA

$118.90K - $163.30K/yr

Full-time

Medical, Life, Retirement

Posted 23 days ago

Job description

"I can be myself at work."

You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace.

We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.

"I can influence my income."

You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.

"I can lead a full life."

You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success.

  • Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options

  • Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love

  • Access on-demand professional development resources that allow you to hone existing skills and learn new ones

"I can succeed as a Machine Learning Engineer at Capital Group"

We are seeking a strong software engineer with practical machine learning experience to design, build, and operate Generative AI systems that improve Capital Group's investment process and outcomes.

You will work closely with investment professionals and engineering partners to translate ideas into reliable, production-grade systems. While curiosity and experimentation are important, this role emphasizes engineering rigor, system design, and delivering durable solutions at scale.

You will join ahigh-performingteam of ML engineers and software engineers building Generative AI and LLM-based capabilities, including multi-agent systems, semantic search, summarization, and document understanding pipelines. We value craftsmanship in software engineering, thoughtful problem solving, and a strong sense of ownership.

"I am the person Capital Group is looking for."

You will:

  • Design and implement scalable, production-quality systems that incorporate machine learning and Generative AI components.

  • Take end-to-end ownership of technical projects, from system design through implementation and operational excellence.

  • Collaborate with cross-functional partners to translate ambiguous problems into well-structured technical solutions.

  • Maintain a high bar for code quality, testing, clarity, and reliability.

  • Contribute to architectural decisions, ensuring systems are maintainable, extensible, and resilient.

  • Apply sound engineering judgment when integrating ML models into larger distributed systems.

  • Operate with urgency, ownership, humility, and strong collaboration across teams.

Required Experience

  • 8+ years of professional software engineering experience, with strong proficiency in Python (or similar modern language).

  • Demonstrated experience designing and buildinglarge scaleproduction systems with solid architectural foundations.

  • Strong understanding of system design principles, APIs, distributed systems concepts, and cloud-native development.

  • Hands-on experience integrating machine learning models into production applications or services

  • Experience with cloud platforms, CI/CD, DevOps, orMLOpspractices for deploying and monitoring applications.

  • Strong problem-solving ability - able to break down ambiguous problems into clear technical plans.

  • Proven ability to own projects independently and drive them to completion.

  • Strong communication skills and behavioral maturity; able to collaborate effectively with diverse stakeholders.

Preferred (Nice to Have)

  • Experience working with Generative AI, LLM APIs, retrieval systems, or agent-based architectures.

  • Experience with ML lifecycle tooling such as experiment tracking, model versioning, monitoring, or CI/CD for ML systems

  • Familiarity with model evaluation, monitoring, and performance trade-offs.

  • Exposure to modern ML frameworks (e.g.,PyTorch,HuggingFace, etc.).

  • Experience reviewing research papers and translating relevant ideas into practical implementations.

What We Value Most

Engineering excellence. Ownership. Sound judgment. Humility. Collaboration. Curiosity.

We are looking for a strong builder - someone who combines deep software engineering skill with the ability to thoughtfully apply machine learning techniques in real-world systems.

"I can apply in less than 4 minutes."

You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community.

"I can learn more about Capital Group."

At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor.

Southern California Base Salary Range: $226,893-$363,029Seattle Base Salary Range: $226,893-$363,029

In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.

You can learn more about our compensation and benefits here.

* Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.


We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

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