{"schemaVersion":"jobsearcher.job.v1","id":"ea254deaef33656edeec72db","url":"https://jobsearcher.com/jobs/ea254deaef33656edeec72db","canonicalUrl":"https://jobsearcher.com/jobs/ea254deaef33656edeec72db","title":"Staff MLOps Engineer","description":"Velocity Tech has partnered with a Series A startup seeking a Staff MLOps Engineer.This role will be remote within the US and does not sponsor visas at this stage.ResponsibilitiesBuild the platforms, tooling, and frameworks that enable ML engineers to take ownership of the full model lifecycle, from local development through production deployment and monitoring.Architect and maintain scalable ML pipelines covering data ingestion, model training, evaluation, deployment, and ongoing monitoring.Partner closely with ML, software, and data engineers to productionise models and integrate them into high-performance, real-time applications.Define and continuously improve MLOps practices across automation, CI/CD, reproducibility, testing, documentation, and developer tooling.Develop robust model governance and lifecycle management processes, including versioning, lineage, auditability, compliance, and safe deployment.Design and operate cloud-native ML infrastructure across compute, storage, orchestration, networking, and security.Assess and introduce new technologies across the MLOps ecosystem to improve engineering velocity, reliability, and model quality.Work effectively across technical and non-technical teams, translating complex ML infrastructure concepts into clear, actionable outcomes.RequirementsMS or higher in Computer Science, Information Science, Engineering, Mathematics, or a related technical discipline.8+ years of experience building and operating production ML systems, or equivalent experience with 5+ years focused specifically on MLOps.Strong Python engineering skills, with experience writing production-quality code, unit and integration tests, and working within modern version-control workflows.Proven experience building ML infrastructure and CI/CD pipelines, including model packaging, workflow orchestration, and production monitoring.Hands-on experience working with major cloud platforms and cloud-native infrastructure.Strong understanding of APIs, streaming systems, containerisation, particularly Docker, and modern deployment architectures.Experience with feature stores, vector databases, embedding pipelines, or similar ML data infrastructure.Familiarity with experimentation and evaluation frameworks, including offline/online evaluation and bandit-based systems.Experience operating real-time inference workloads, including autoscaling, performance optimisation, and GPU-based ML pipelines.","company":"Velocity Tech","rawCompany":"velocity tech","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-22T10:37:31.089Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"Staff MLOps Engineer","description":"Velocity Tech has partnered with a Series A startup seeking a Staff MLOps Engineer.This role will be remote within the US and does not sponsor visas at this stage.ResponsibilitiesBuild the platforms, tooling, and frameworks that enable ML engineers to take ownership of the full model lifecycle, from local development through production deployment and monitoring.Architect and maintain scalable ML pipelines covering data ingestion, model training, evaluation, deployment, and ongoing monitoring.Partner closely with ML, software, and data engineers to productionise models and integrate them into high-performance, real-time applications.Define and continuously improve MLOps practices across automation, CI/CD, reproducibility, testing, documentation, and developer tooling.Develop robust model governance and lifecycle management processes, including versioning, lineage, auditability, compliance, and safe deployment.Design and operate cloud-native ML infrastructure across compute, storage, orchestration, networking, and security.Assess and introduce new technologies across the MLOps ecosystem to improve engineering velocity, reliability, and model quality.Work effectively across technical and non-technical teams, translating complex ML infrastructure concepts into clear, actionable outcomes.RequirementsMS or higher in Computer Science, Information Science, Engineering, Mathematics, or a related technical discipline.8+ years of experience building and operating production ML systems, or equivalent experience with 5+ years focused specifically on MLOps.Strong Python engineering skills, with experience writing production-quality code, unit and integration tests, and working within modern version-control workflows.Proven experience building ML infrastructure and CI/CD pipelines, including model packaging, workflow orchestration, and production monitoring.Hands-on experience working with major cloud platforms and cloud-native infrastructure.Strong understanding of APIs, streaming systems, containerisation, particularly Docker, and modern deployment architectures.Experience with feature stores, vector databases, embedding pipelines, or similar ML data infrastructure.Familiarity with experimentation and evaluation frameworks, including offline/online evaluation and bandit-based systems.Experience operating real-time inference workloads, including autoscaling, performance optimisation, and GPU-based ML pipelines.","datePosted":"2026-08-22T10:37:31.089Z","dateModified":"2026-08-22T10:37:31.089Z","hiringOrganization":{"@type":"Organization","name":"Velocity Tech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ea254deaef33656edeec72db"},"url":"https://jobsearcher.com/jobs/ea254deaef33656edeec72db"}}