Senior Mlops Engineer Jobs in New York
Senior Mlops Engineer jobs in New York are in strong demand, concentrated in financial services, media and advertising technology, and enterprise software, with openings from mid-level to principal across the state. New York City is the dominant hiring center, with significant activity in Brooklyn and Jersey City as well, where firms like JPMorgan Chase, Bloomberg, and IBM maintain large engineering teams. The most sought-after specialties include model deployment pipelines, real-time inference infrastructure, and LLMOps. Find a role that fits below and apply directly.
Find Senior Mlops Engineer JobsOverview
Showing 5 of 6+ Senior Mlops Engineer jobs
Key Responsibilities
AI/ML Model Operations:
- Deploy, manage, and monitor machine learning and AI models in production environments.
- Implement model performance monitoring including accuracy, latency, and inference metrics.
- Detect and mitigate concept drift, data drift, and model degradation.
AI Observability:
- Design and implement AI observability frameworks to track model behavior and reliability.
- Monitor LLM outputs, hallucination rates, and response quality.
- Implement logging, tracing, and evaluation pipelines for AI systems.
Agentic Systems Monitoring:
- Monitor agent-based AI workflows and autonomous systems.
- Track agent actions, tool usage, decision paths, and execution outcomes.
- Implement guardrails, safety monitoring, and failure detection for AI agents.
Data Pipeline Monitoring:
- Monitor and maintain data ingestion, transformation, and feature pipelines.
- Ensure data quality, schema consistency, and pipeline reliability.
- Detect and resolve pipeline failures and anomalies.
Infrastructure & Automation:
- Build and maintain CI/CD pipelines for ML models and AI systems.
- Manage model versioning, experiment tracking, and reproducibility.
- Automate monitoring alerts, incident response, and remediation.
Collaboration:
- Work closely with data scientists, ML engineers, platform teams, and product teams.
- Support continuous improvement of AI system reliability and governance.
Compensation, Benefits and Duration
Minimum Compensation: USD 50,000
Maximum Compensation: USD 177,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors.
No applications will be considered if received more than 120 days after the date of this post.
Key Responsibilities
AI/ML Model Operations:
- Deploy, manage, and monitor machine learning and AI models in production environments.
- Implement model performance monitoring including accuracy, latency, and inference metrics.
- Detect and mitigate concept drift, data drift, and model degradation.
AI Observability:
- Design and implement AI observability frameworks to track model behavior and reliability.
- Monitor LLM outputs, hallucination rates, and response quality.
- Implement logging, tracing, and evaluation pipelines for AI systems.
Agentic Systems Monitoring:
- Monitor agent-based AI workflows and autonomous systems.
- Track agent actions, tool usage, decision paths, and execution outcomes.
- Implement guardrails, safety monitoring, and failure detection for AI agents.
Data Pipeline Monitoring:
- Monitor and maintain data ingestion, transformation, and feature pipelines.
- Ensure data quality, schema consistency, and pipeline reliability.
- Detect and resolve pipeline failures and anomalies.
Infrastructure & Automation:
- Build and maintain CI/CD pipelines for ML models and AI systems.
- Manage model versioning, experiment tracking, and reproducibility.
- Automate monitoring alerts, incident response, and remediation.
Collaboration:
- Work closely with data scientists, ML engineers, platform teams, and product teams.
- Support continuous improvement of AI system reliability and governance.
Compensation, Benefits and Duration
Minimum Compensation: USD 50,000
Maximum Compensation: USD 177,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors.
No applications will be considered if received more than 120 days after the date of this post.
See All 6 Senior Mlops Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Senior Mlops Engineer JobsSenior Mlops Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
Senior Mlops Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- Arlo1
- Bloomberg1
- CRUSOE1
- Justworks1
- New York Life1
Top Industries Hiring
- Technology & Software4
- Accounting & Auditing1
- Insurance1
What New York Employers Look For
The qualifications that appear most often in senior mlops engineer jobs across New York.
- Bachelor's or master's degree in computer science, engineering, or a related field
- Proven experience designing and maintaining ML model deployment pipelines at scale
- Proficiency with containerization and orchestration tools such as Docker and Kubernetes
- Hands-on experience with cloud platforms including AWS, GCP, or Azure for ML workloads
- Familiarity with experiment tracking and model registries such as MLflow or Weights and Biases
- Strong Python skills with experience in CI/CD automation for machine learning systems
Senior Mlops Engineer Jobs in New York: Frequently Asked Questions
How do you become a senior mlops engineer in New York?
Senior mlops engineer roles in New York do not require a state-issued license, so the path runs through education and experience. Most New York employers expect a bachelor's or master's degree in computer science, data engineering, or a closely related field. Candidates typically progress from junior ML or data engineering roles, building hands-on experience with deployment pipelines, monitoring, and cloud infrastructure before moving into senior positions at New York's financial, media, or enterprise tech firms.
How much do senior mlops engineers make in New York?
Senior mlops engineers in New York earn a median of about $116,990 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $59,740 for the lowest 10% to over $203,040 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior mlops engineers in New York?
Employers hiring senior mlops engineers in New York right now include Arlo, Bloomberg, and CRUSOE, based on current listings on Migrate Mate as of June 2026. New York's concentration of large financial institutions, media conglomerates, and enterprise software companies makes it one of the more active states for senior mlops hiring year-round.
Which New York cities have the most senior mlops engineer jobs?
The cities with the most senior mlops engineer openings in New York are New York. New York City dominates because it is home to the headquarters and major engineering offices of the financial services firms, adtech companies, and large tech employers that invest heavily in production ML infrastructure, while any activity in secondary markets tends to follow large healthcare systems or regional enterprise employers based there.
Are there remote senior mlops engineer jobs in New York?
Yes, and more than most fields, since mlops work is primarily code- and cloud-based with no requirement for physical presence. About 17% of senior mlops engineer openings tied to New York are remote or hybrid as of June 2026, reflecting how widely distributed engineering teams have become. The parts of the role most commonly done remotely are pipeline development, model monitoring, and infrastructure automation, while on-site expectations tend to appear at regulated financial firms.
How can I get hired as a senior mlops engineer in New York with little or no experience?
The most realistic entry path is through a junior data engineering, ML engineering, or DevOps role at a New York employer, then building toward mlops responsibilities from there. Large New York institutions such as JPMorgan Chase and IBM run structured new-graduate and rotational programs in engineering that expose candidates to ML infrastructure work. Building a portfolio of end-to-end deployment projects using open-source tools, and earning cloud certifications from AWS or GCP, gives candidates without direct mlops titles a credible edge when applying to associate-level roles.
Where can I find and apply to senior mlops engineer jobs in New York?
You can find and apply to senior mlops engineer jobs in New York on Migrate Mate, which lists current New York openings updated in real time. Find roles that fit your experience and location preference and apply directly from the listing.
See All 6 Senior Mlops Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
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