Senior MLOps Engineer
GUILD - United States
Posted Jun 7, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Offered From the posting source checked Jun 20, 2026
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Offered From the posting source checked Jun 20, 2026
- Verification
- Not verified checked Jun 7, 2026
- Salary
- $190K-$220K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
76% above the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior MLOps Engineer United States To thrive as a company and meet our impact goals, we must cultivate a culture of high-performance. You can read about our culture principles here . We know managers are often the single-largest driver of employee satisfaction and growth, and our talent is our biggest asset. Because of that, we've identified consistent expectations for all of Guild's people managers - helping you know what to expect from your experience here. If you are an Internal Candidate, please apply via our Internal Job Board . ---- Guild is seeking a Senior MLOps Engineer . As a Senior ML Ops Engineer you'll be pivotal in designing and implementing infrastructure and tooling that allows teams to efficiently develop, deploy, and iterate on machine learning models and AI agents. Your contributions will enable rapid innovation, consistent reliability, and effective scaling of Guild's AI capabilities. This is a role that will be pivotal in establishing Guild's ML / AI platform. What You Bring 5-7 years of experience in MLOps, DevOps, software engineering, or related fields. Strong experience in building and maintaining scalable machine learning infrastructure and pipelines. Expertise with cloud platforms (AWS, Azure, or GCP), particularly in managed AI/ML services. Proficiency with containerization (Docker, Kubernetes) and orchestration tools. Experience in MCP (model context protocol); any specific experience with Databricks MCP or AWS MCP is a plus Experience in model deployment frameworks and serving infrastructure (TensorFlow Serving, TorchServe, FastAPI, etc.). Skilled in infrastructure-as-code tools like Terraform and familiarity with CI/CD automation
Read the full description at www.guild.com. FewerJobs shows a preview and links to the original posting.
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