{"schemaVersion":"jobsearcher.job.v1","id":"838e0fa09ed0dbdb796e4fb8","url":"https://jobsearcher.com/jobs/838e0fa09ed0dbdb796e4fb8","canonicalUrl":"https://jobsearcher.com/jobs/838e0fa09ed0dbdb796e4fb8","title":"Operations Machine Learning Engineer","description":"For our client, we are seeking a Operations Machine Learning Engineer to join the team of a leader in the Consumer Technology space.This role will focus on building the operational backbone that helps machine learning solutions move from development into reliable production use. You will partner closely with data science and cross-functional teams to create scalable workflows, improve deployment consistency, and strengthen monitoring and validation practices. The work will support enterprise standards for model performance, data quality, and responsible AI across the organization.Location: Remote - US based candidates only, no visa sponsorship availableCompensation: $140,000 – $163,000 annuallyResponsibilities Partner with Operations Data Science to convert machine learning models into scalable workflows Design and maintain automated data and model pipelines using Python and cloud platforms Develop reusable deployment patterns and documentation for data scientists Collaborate with cross-functional teams to align data science solutions with enterprise practices Create monitoring frameworks for model performance and data quality Support responsible AI practices, including documentation and validation workflows Identify and resolve issues in machine learning pipelines and workflowsQualifications Bachelor's degree in a quantitative or technical field such as computer science or data engineering 3+ years of experience in machine learning engineering, MLOps, or similar roles Proficient in building production-grade data workflows using Python Strong knowledge of cloud technologies, especially AWS and Databricks Experience with CI/CD practices and deployment automation Familiarity with data engineering concepts like data pipelines and feature engineering Excellent communication skills for translating technical concepts to non-technical stakeholdersBenefits Fully remote work arrangement with no in-office requirements Opportunity for quarterly bonuses and stock grants based on performance Access to a comprehensive range of benefits Flexible work hours with designated availabilityOur client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.","company":"Ladders","rawCompany":"ladders","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-19T11:05:53.512Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Operations Machine Learning Engineer","description":"For our client, we are seeking a Operations Machine Learning Engineer to join the team of a leader in the Consumer Technology space.This role will focus on building the operational backbone that helps machine learning solutions move from development into reliable production use. You will partner closely with data science and cross-functional teams to create scalable workflows, improve deployment consistency, and strengthen monitoring and validation practices. The work will support enterprise standards for model performance, data quality, and responsible AI across the organization.Location: Remote - US based candidates only, no visa sponsorship availableCompensation: $140,000 – $163,000 annuallyResponsibilities Partner with Operations Data Science to convert machine learning models into scalable workflows Design and maintain automated data and model pipelines using Python and cloud platforms Develop reusable deployment patterns and documentation for data scientists Collaborate with cross-functional teams to align data science solutions with enterprise practices Create monitoring frameworks for model performance and data quality Support responsible AI practices, including documentation and validation workflows Identify and resolve issues in machine learning pipelines and workflowsQualifications Bachelor's degree in a quantitative or technical field such as computer science or data engineering 3+ years of experience in machine learning engineering, MLOps, or similar roles Proficient in building production-grade data workflows using Python Strong knowledge of cloud technologies, especially AWS and Databricks Experience with CI/CD practices and deployment automation Familiarity with data engineering concepts like data pipelines and feature engineering Excellent communication skills for translating technical concepts to non-technical stakeholdersBenefits Fully remote work arrangement with no in-office requirements Opportunity for quarterly bonuses and stock grants based on performance Access to a comprehensive range of benefits Flexible work hours with designated availabilityOur client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.","datePosted":"2026-10-19T11:05:53.512Z","dateModified":"2026-10-19T11:05:53.512Z","hiringOrganization":{"@type":"Organization","name":"Ladders","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"838e0fa09ed0dbdb796e4fb8"},"url":"https://jobsearcher.com/jobs/838e0fa09ed0dbdb796e4fb8"}}