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🕒 3 days ago
Job not on LinkedIn
Senior MLOps/LLMOps Engineer at Citrin Cooperman developing automated pipelines for generative AI applications. Leading the deployment and management of AI evaluation infrastructure and monitoring.
🇺🇸 United States – Remote
💵 $155k - $195k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
🕒 June 25
Staff MLOps Engineer at NBCUniversal responsible for building infrastructure for large 2D and 3D media datasets. Design CI/CD pipelines and manage data lifecycle to enhance ML performance.
🗽 New York – Remote
💵 $220k - $260k / year
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
🕒 June 25
201 - 500
Part-time Remote DevOps/MLOps Engineer at Scopic designing and maintaining scalable infrastructure and automation pipelines for machine learning workflows. Collaborating with engineering and data teams in a flexible work environment.
🕒 June 22
MLOps Engineer building and operating machine learning lifecycle platform at dv01. Focused on deployment, monitoring, and infrastructure for reliable ML operations.
🇺🇸 United States – Remote
💵 $185k - $200k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
🕒 June 19
Senior Machine Learning Operations Engineer building real-time inference systems for risk decisioning at Mercury. Leading deployment infrastructures and ensuring high availability for ML models in production.
🕒 June 16
Lead Machine Learning Operations Engineer at Paramount responsible for ML system reliability and observability. Collaborating across teams to ensure production ML model health and governance.
🕒 May 5
Senior MLOps Engineer designing agentic systems for Paramount, focusing on production runtimes and multi-agent orchestration. Leading performance management and system governance.
🕒 June 12
Staff ML Systems Engineer building and operating ML infrastructures for healthcare company's AI. Managing Kubernetes, CI/CD, and observability stacks within a regulated environment.
🕒 June 8
11 - 50
Staff/Principal MLOps Engineer enhancing data architecture for AI workforce solutions. Driving reliability and observability while collaborating within a data-centric team environment.
🇺🇸 United States – Remote
💵 $195k - $220k / year
💰 Seed Round on 2022-03
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🕒 June 5
Lead Machine Learning Operations Engineer at Paramount overseeing reliability and governance of ML systems. Focus on production health, incident response, and operational rigor.
🗽 New York – Remote
💵 $157k - $235k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
🕒 June 3
MLOps / Machine Learning Engineer building large-scale ML infrastructure for Deep Reinforcement Learning at GTO Wizard. Contributing to advanced machine learning systems for poker strategy insights.
🕒 May 20
10,000+ employees
MLOps Engineer responsible for designing and implementing platforms for the deployment of machine learning solutions. Collaborating with data scientists and engineers to operationalize models in federal environments.
⚔️ Virginia – Remote
💵 113k - 188k / year
💰 Grant on 2023-02
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
🕒 May 17
Senior ML / MLOps Engineer at CDW developing scalable machine learning solutions on the Databricks platform. Collaborating with teams to ensure reliable, governed ML workflows in a remote setting.
🇺🇸 United States – Remote
💰 Post-IPO Equity on 2015-07
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
🕒 May 14
ML Ops Engineer at a startup utilizing AI, physics simulation, and computer graphics. Focusing on reducing costs and improving engineering productivity in design and manufacturing.
🕒 May 13
501 - 1000
Platform Engineer building AI/ML infrastructure for Bright Machines, a leader in AI-enabled manufacturing. Collaborating on scalable systems that support flexible robotic manufacturing lines.
🇺🇸 United States – Remote
💵 $150k - $170k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
🕒 May 13
Senior Data Solutions Consultant at Koantek, leading customer engagements in data engineering with Apache Spark and Databricks expertise. Focus on solution implementation and mentorship in a remote setting.
🕒 April 30
Senior Engineer managing AI production lifecycle using AWS and Azure cloud services. Building automated infrastructure and pipelines for ML applications and ensuring observability and scalability.
🕒 April 29
Senior ML Engineer collaborating with Data Science and Machine Learning teams at Hyatt. Designing and operating scalable AI services while nurturing a culture of care and belonging.
🌽 Illinois – Remote
💵 $133.2k - $173k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
Job not on LinkedIn
🕒 April 22
Job not on LinkedIn
MLOps / AI Platform Engineer subject matter expert for General Assembly's Customer Success reskilling program. Validating AI pipeline content and leveraging engineering experience in educational contexts.
Job not on LinkedIn
🕒 April 22
Job not on LinkedIn
MLOps / AI Platform Engineer subject matter expert for General Assembly's Customer Success reskilling program. Validating AI pipeline content and leveraging engineering experience in educational contexts.
+13 More MLOps Engineer Jobs Available!
The average salary for remote mlops engineers is $174,173 per year. This is based on data from 56 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
🟢 Junior MLOps Engineer (1-2 yrs) | 5 | $128,238 |
🟡 Mid-level MLOps Engineer (2-4 yrs) | 19 | $177,470 |
🟠 Senior MLOps Engineer (5-9 yrs) | 24 | $173,257 |
🔴 Lead MLOps Engineer (10+ yrs) | 8 | $197,796 |
We analyzed 42 job listings in the last year and found it takes about 51 days for employers to close a job opening.
We reviewed 56 job postings and found the top 10 skills employers are asking for most often are:
We scan the internet everyday and find jobs not posted on LinkedIn or other job boards.
We find jobs as soon as they're posted, so you can apply before everyone else.
Most members hear back within the first week
We find jobs other job boards miss.
