🕒 5 days ago
MLOps Engineer operating scalable ML infrastructure for SumerSports’ football intelligence platform. Building production pipelines, model serving systems, observability, security, and cloud automation.
🕒 6 days ago
Senior MLOps Engineer building production ML infrastructure for Hungryroot’s AI-powered grocery recommendations and personalization. Operating Python, AWS, Databricks, Spark, and model lifecycle systems.
🇺🇸 United States – Remote
💵 $170k - $210k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
🕒 6 days ago
Senior DevOps/MLOps Engineer operating SimpliGov’s Azure AI platform for government customers. Building secure Kubernetes infrastructure, compliant inference paths, observability, releases, and cost controls.
🕒 August 8
Senior MLOps Engineer building production ML and generative AI infrastructure for Lyra Health, an evidence-based mental healthcare provider. Developing platforms, evaluation frameworks, and AI product services.
🇺🇸 United States – Remote
💵 $143k - $197k / year
💰 $235M Series F on 2022-01
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
🕒 August 4
Senior MLOps Engineer scaling platforms, workflows, and governance for Oura’s connected health-tracking products. Enabling reliable machine-learning development, deployment, and operations across distributed data science teams.
🐻 Alaska, Iowa, +6 more states – Remote
💵 $147.9k - $203k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🕒 August 4
Lead MLOps engineer scaling TetraScience’s scientific data and AI cloud platform. Architecting multi-tenant model serving, LLM workflows, evaluation, security, and observability for pharmaceutical customers.
🕒 August 4
LLMOps Engineer evaluating AI learning products for ALX Africa, a nonprofit digital skills training organisation. Building regression suites, analysing LLM data, and reporting model behaviour across cross-functional teams.
🕒 July 29
MLOps Engineer leveraging JAX, PyTorch, and GPU kernel programming. Contributing to next-generation AI systems with a focus on distributed training and ML infrastructure.
🇺🇸 United States – Remote
💵 $70 - $110 / hour
⏳ Contract/Temporary
🟢 Junior
🟡 Mid-level
🤖 Machine Learning Engineer
🕒 July 28
Technical Lead Manager overseeing Machine Learning Operations for Veho's data science platform. Driving AI development and managing a team of engineers to enhance data science capabilities.
🏄 California – Remote
💵 $199k - $241k / year
💰 $170M Series B - Veho on 2022-02
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🕒 July 28
Senior Machine Learning Operations Engineer at Veho, building infrastructure for AI/ML capabilities to enhance logistics and customer experience.
🏄 California – Remote
💵 $175k - $200k / year
💰 $170M Series B - Veho on 2022-02
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🕒 July 28
Staff MLOps Engineer focused on building scalable infrastructure for deploying AI/ML systems in a mission-driven company. Working with LLMs, ensuring compliance and driving AI reliability.
🕒 July 28
Senior MLOps Engineer at TRM Labs focusing on building and scaling AI/ML infrastructure. Responsible for deploying models and ensuring reliability in a fast-paced environment.
🕒 July 28
MLOps Engineer at Sequen, building and scaling critical AI systems for machine learning operations. Focused on infrastructure and ensuring optimized model serving in production environments.
🕒 July 21
Senior MLOps Engineer turning models into reliable services for Zeitview, an intelligent aerial imaging company. Working on infrastructure, pipelines, and tooling for production-grade deployments.
🍂 Massachusetts – Remote
💵 $170k - $180k / year
💰 $55M Series E on 2023-02
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🕒 July 21
Senior MLOps Engineer turning ML models into reliable, production-grade services at Zeitview. Collaborating with scientists and engineers on infrastructure, pipelines, and automation initiatives.
🏄 California – Remote
💵 $170k - $180k / year
💰 $55M Series E on 2023-02
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🕒 July 20
Senior Software Engineer developing systems for real-time ML feature serving at Forward Financing. Building data pipelines and partnering with data science teams for production-grade solutions.
🇺🇸 United States – Remote
💵 $175k - $220k / year
💰 $250M Debt Financing on 2021-05
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🕒 July 10
Senior MLOps Engineer building and operating BetMGM's machine learning platform on AWS and Snowflake. Collaborating with data scientists to ensure smooth production deployment and monitoring.
🌾 Nebraska, Nevada, +3 more states – Remote
💵 $135k - $170k / year
💰 $25.1k Seed Round on 2022-10
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
🕒 June 30
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 30
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
+20 More MLOps Engineer Jobs Available!
The average salary for remote mlops engineers in the US is $179,366 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) | 4 | $128,238 |
🟡 Mid-level MLOps Engineer (2-4 yrs) | 18 | $177,470 |
🟠 Senior MLOps Engineer (5-9 yrs) | 25 | $178,600 |
🔴 Lead MLOps Engineer (10+ yrs) | 9 | $208,008 |
We analyzed 39 job listings in the last year and found it takes about 44 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.