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Remote Python Machine Learning Jobs in Seattle, WA

... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ... Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands ...

... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ... Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands ...

AI/ML Engineer - Remote

Seattle, WA · Remote

$200 - $350/hr

... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ... Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands ...

AI/ML Engineer - Remote

Seattle, WA · Remote

$200 - $350/hr

... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ... Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science ...

Sr. Product Manager, Enterprise AI

Seattle, WA · Remote

$144K - $190K/yr

Experience building and delivering machine learning, business intelligence, or data analytics ... Python, Spark, data visualization, and business intelligence * Working knowledge of Cloud Native ...

Sr. Product Manager, Enterprise AI

Seattle, WA · Remote

$144K - $190K/yr

Experience building and delivering machine learning, business intelligence, or data analytics ... Python, Spark, data visualization, and business intelligence * Working knowledge of Cloud Native ...

Sr. Product Manager, Enterprise AI

Seattle, WA · Remote

$144K - $190K/yr

Experience building and delivering machine learning, business intelligence, or data analytics ... Python, Spark, data visualization, and business intelligence * Working knowledge of Cloud Native ...

... machine learning models, features, analytical pipelines, or risk signals. * Strong SQL skills and experience working with large-scale, complex datasets. * Strong proficiency in Python and experience ...

Senior Software Engineer - Remote

Seattle, WA · Remote

$139K - $183K/yr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Proficient in programming languages such as JavaScript, Python, or similar * Experience with web ... Experience with AI or machine learning technologies is a plus Benefits * Health Care Plan (Medical ...

CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ... Python, iLogic, and VBA scripting. * Tolerance application. * Project documentation. * Strong ...

Showing results 41-60

Remote Python Machine Learning information

See Seattle, WA salary details

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$66

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How much do remote python machine learning jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote python machine learning in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 per hour, depending on experience, location, and employer.

What is a remote Python machine learning?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

What does a remote Python machine learning professional do?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.

What are the key skills and qualifications needed to thrive in remote Python machine learning?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

What are the most commonly searched types of Python Machine Learning jobs in Seattle, WA?

The most popular types of Python Machine Learning jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Python Machine Learning jobs?

Cities near Seattle, WA with the most Remote Python Machine Learning job openings:

Senior Staff Machine Learning Engineer

Geico

Seattle, WA • Remote

Full-time

Re-posted 16 days ago


GEICO rating

8.1

Company rating: 8.1 out of 10

Based on 368 frontline employees who took The Breakroom Quiz

171st of 315 rated insurance


Job description

Why Join GEICO?

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.

GEICO is seeking a Senior Staff AI engineer to join our AI org. This person will play key senior technical leadership roles in the development of Geico's virtual agent platform that elevates the productivity and quality of service for 20K+ contact center employees in claims, service and sales operations, etc. You will be collaborating with a dynamic team of AI and software engineers to design, develop and deploy platform that ensure productivity, scalability and usability of GenAI workflows across Geico. The ideal candidate should demonstrate a proven track record of building and architecting high performance, multi-system AI/ML platforms, with hands-on experience and deep enthusiasm for Generative AI technologies. This role requires a minimum of 10 years of relevant experience.
Responsibilities:
Technical Design & Architecture: Own design, architecture and development of multiple inter-connected high-performance, durable and scalable platform components that collectively power large sets of end-to-end GenAI agentic workflows. Examples include knowledge curation & management, search, prompt management, workflow orchestration, action execution systems, semantic knowledge graph, etc.
System & Platform Evaluation: Own technical decisions regarding the selection and evaluation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, future extensibility, etc.
Cross-functional collaboration: Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs. Establish pragmatic technical visions & roadmaps that balance business outcome, product release timelines and engineering excellence.
Strategic Planning: Drive the strategic plan and multi-year product roadmaps of software & platform products, ensuring the efficient allocation of resources and timely delivery of solutions in conjunction of system and business dependencies.
Technical Leadership: Lead teams of experience engineers for platform implementation. Troubleshoot and resolve complex software issues, ensuring optimal platform performance and reliability. Lead by example in tackling complex technical challenges and driving system-wide architectural improvements.
Mentorship: Mentor and guide engineers and junior tech leads by setting up engineering best practices, foster career growth, and provide guidance in emerging technical trends and tooling. Collaborate with sr. tech leads in other department to promote enterprise-wide AI best practices and contribute to internal documentations.
Minimum Qualifications
Bachelor's degree or above in Computer Science, Engineering, Statistics or a related field
10+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python or C#.
10+ years of experience architecting, designing and building multi-component AIML platform utilizing open-source/cloud-agnostic components such as search engine (e.g. elastic search, Qdrant), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. postgresql), Nosql (e.g. MongoDB, Cassandra), distributed processing (e.g. Spark, Ray), workflow management (e.g. Airflow, Temporal), robotic process automation, context management, etc.
6+ years' experience managing end-to-end software development life cycle (version control, CICD pipelines, Kubernetes clusters, testing, monitoring & alerting, production support etc.)
6+ years' experience with cloud providers such as Azure and AWS
3+ years' experience utilizing and/or finetuning LLMs such as GPT, Llama, Mistral, Claude etc. to build conversational experiences and/or agentic workflows
GEICO is seeking a Senior Staff AI engineer to join our AI org. This person will play key senior technical leadership roles in the development of Geico's virtual agent platform that elevates the productivity and quality of service for 20K+ contact center employees in claims, service and sales operations, etc. You will be collaborating with a dynamic team of AI and software engineers to design, develop and deploy platform that ensure productivity, scalability and usability of GenAI workflows across Geico. The ideal candidate should demonstrate a proven track record of building and architecting high performance, multi-system AI/ML platforms, with hands-on experience and deep enthusiasm for Generative AI technologies. This role requires a minimum of 10 years of relevant experience.
Responsibilities:
Technical Design & Architecture: Own design, architecture and development of multiple inter-connected high-performance, durable and scalable platform components that collectively power large sets of end-to-end GenAI agentic workflows. Examples include knowledge curation & management, search, prompt management, workflow orchestration, action execution systems, semantic knowledge graph, etc.
System & Platform Evaluation: Own technical decisions regarding the selection and evaluation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, future extensibility, etc.
Cross-functional collaboration: Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs. Establish pragmatic technical visions & roadmaps that balance business outcome, product release timelines and engineering excellence.
Strategic Planning: Drive the strategic plan and multi-year product roadmaps of software & platform products, ensuring the efficient allocation of resources and timely delivery of solutions in conjunction of system and business dependencies.
Technical Leadership: Lead teams of experience engineers for platform implementation. Troubleshoot and resolve complex software issues, ensuring optimal platform performance and reliability. Lead by example in tackling complex technical challenges and driving system-wide architectural improvements.
Mentorship: Mentor and guide engineers and junior tech leads by setting up engineering best practices, foster career growth, and provide guidance in emerging technical trends and tooling. Collaborate with sr. tech leads in other department to promote enterprise-wide AI best practices and contribute to internal documentations.
Minimum Qualifications
Bachelor's degree or above in Computer Science, Engineering, Statistics or a related field
10+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python or C#.
10+ years of experience architecting, designing and building multi-component AIML platform utilizing open-source/cloud-agnostic components such as search engine (e.g. elastic search, Qdrant), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. postgresql), Nosql (e.g. MongoDB, Cassandra), distributed processing (e.g. Spark, Ray), workflow management (e.g. Airflow, Temporal), robotic process automation, context management, etc.
6+ years' experience managing end-to-end software development life cycle (version control, CICD pipelines, Kubernetes clusters, testing, monitoring & alerting, production support etc.)
6+ years' experience with cloud providers such as Azure and AWS
3+ years' experience utilizing and/or finetuning LLMs such as GPT, Llama, Mistral, Claude etc. to build conversational experiences and/or agentic workflows


Annual Salary

$150,000.00 - $300,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.


GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.


The GEICO Pledge:

Great Company:Protecting customers through life's twists and turns with innovation and integrity.

Great Careers:Personalized development programs, mentorship, and certification assistance.

Great Culture:Inclusive and collaborative culture rooted in shared success.

Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.


What GEICO employees say

Pay

Benefits

Hours and flexibility

Workplace

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GEICO logo

About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936