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Senior Mlops Engineer Jobs (NOW HIRING)

ClimateAi

Senior MLOps Engineer

Boston, MA · On-site

$170K - $200K/yr

The Role As a Senior MLOps Engineer, you will own the infrastructure and ML platform that powers ClimateAi's forecasting and risk products. You will design, build, and operate the cloud systems, data ...

Analytica

Senior MLOps Engineer

Washington, DC · On-site

$118K - $162K/yr

Analytica is seeking a highly skilled Senior MLOps Engineer to lead the design, development, and deployment of machine learning operations infrastructure for defense applications. This role requires ...

C the Signs

Senior MLOps Engineer

$107K - $146K/yr

Position Summary We're hiring a Senior MLOps Engineer with deep machine learning engineering experience to build and operate the production platform powering ML/LLM-driven healthcare workflows. You ...

Analytica

Senior MLOps Engineer

Washington, DC · On-site

$117K - $161K/yr

Analytica is seeking a highly skilled Senior MLOps Engineer to lead the design, development, and deployment of machine learning operations infrastructure for defense applications. This role requires ...

ClimateAi

Senior MLOps Engineer

Boston, MA · On-site

$170K - $200K/yr

The Role As a Senior MLOps Engineer, you will own the infrastructure and ML platform that powers ClimateAi's forecasting and risk products. You will design, build, and operate the cloud systems, data ...

Leidos

Senior MLOps Engineer

Alexandria, VA · On-site

$107K - $195K/yr

Leidos Digital Modernization sector is seeking an experienced Senior MLOps Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple ...

Bonsai Robotics

Senior MLOps Engineer

San Jose, CA · On-site

$120K - $180K/yr

About the role We're looking for an MLOps engineer who thrives in real-world robotics environments and can own the entire machine learning lifecycle-from data ingestion and labeling to training ...

Leidos

Senior MLOps Engineer

Gaithersburg, MD · On-site

$107K - $195K/yr

Bachelor's degree in Computer Science, Engineering, or a related field. * Minimum of 8 years of experience in machine learning operations (MLOps) or related fields. * Experience with cloud platforms ...

Leidos

Senior MLOps Engineer

Alexandria, VA · On-site

$107K - $195K/yr

Bachelor's degree in Computer Science, Engineering, or a related field. * Minimum of 8 years of experience in machine learning operations (MLOps) or related fields. * Experience with cloud platforms ...

TriOptus LLC

Machine Learning Engineer

Atlanta, GA · On-site

$85.92 - $130/hr

* Senior MLOps Engineer (Contractor) About the Role: * Client is seeking an experienced Senior MLOps Engineer to join client's Data Science Enablement (MLOps) team as a contractor. * Candidates will be ...

ITCAPS LLC

Senior MLOps / LLMOps Engineer

Jersey City, NJ

$109K - $149K/yr

Job Title - Senior MLOps / LLMOps Engineer Kubernetes & AI Inference Platforms Duration - 2 Months Location: New Jersey Job Summary We are seeking a highly skilled Senior MLOps / LLMOps Engineer to ...

SkilzMatrix Digital

MLOps Engineer

Dallas, TX · Hybrid

$55.50 - $74/hr

Senior AWS Cloud Engineers must have 3 to 5 years of firsthand experience in designing and building cloud MLOps and Data Analytics applications.

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site

$131K - $173K/yr

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle ...

Futran Tech Solutions Pvt. Ltd.

Sr. Azure MLOps Engineer

$133K - $170K/yr

Position: Sr. Azure MLOps Engineer Location: Seattle, WA (Remote - Local Candidates Preferred) Duration: 6-12 Months Plus Must have - • 5 Plus years of Strong expertise in Azure Machine Learning ...

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Senior Mlops Engineer information

See salary details

$59.5K

$126.6K

$183.5K

How much do senior mlops engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for senior mlops engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior MLOps Engineer, and why are they important?

To thrive as a Senior MLOps Engineer, you need deep expertise in machine learning workflows, software engineering, and cloud infrastructure, typically supported by a degree in computer science or related fields. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and platforms such as AWS, GCP, or Azure, as well as certifications in cloud or DevOps, are highly valuable. Strong problem-solving, collaboration, and communication skills set standout professionals apart in this role. These skills and qualities are crucial to ensuring robust, scalable, and efficient deployment of machine learning models in production environments.

What is the difference between Senior Mlops Engineer vs Data Scientist?

AspectSenior Mlops EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with ML deployment toolsBachelor's/Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentFocus on deploying, maintaining, and scaling ML models in productionFocus on data analysis, model development, and insights generation
Industry UsageUsed in tech, finance, healthcare for ML deploymentUsed across industries for data analysis and modeling

The main difference is that Senior Mlops Engineers specialize in deploying and maintaining machine learning models in production environments, while Data Scientists focus on developing models and analyzing data. Both roles require strong technical skills, but their day-to-day tasks and focus areas differ significantly.

What are some common challenges Senior MLOps Engineers face when deploying machine learning models to production environments?

Senior MLOps Engineers often encounter challenges such as managing model versioning, ensuring reproducibility, and scaling deployments across diverse infrastructure. Balancing the needs of data scientists for experimentation with the stability and reliability requirements of production systems can be complex. Additionally, integrating continuous integration and continuous deployment (CI/CD) pipelines for ML workflows and monitoring model performance post-deployment are ongoing responsibilities. Collaboration with data scientists, software engineers, and IT operations is crucial to address these challenges and maintain robust, efficient ML systems.

What is a Senior MLOps Engineer?

A Senior MLOps Engineer is an experienced professional who bridges the gap between data science, machine learning, and software engineering. They are responsible for designing, deploying, and maintaining scalable machine learning systems in production environments. Their role involves automating workflows, monitoring model performance, ensuring reproducibility, and managing the infrastructure needed to support machine learning operations. Senior MLOps Engineers also collaborate with data scientists, software developers, and IT teams to ensure smooth integration and continuous delivery of ML models. They play a crucial role in making machine learning solutions reliable, efficient, and scalable for business applications.
More about Senior Mlops Engineer jobs
What cities are hiring for Senior Mlops Engineer jobs? Cities with the most Senior Mlops Engineer job openings:
What are the most commonly searched types of Mlops Engineer jobs? The most popular types of Mlops Engineer jobs are:
What states have the most Senior Mlops Engineer jobs? States with the most job openings for Senior Mlops Engineer jobs include:
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Senior Mlops Engineer jobs near you
Infographic showing various Senior Mlops Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Senior MLOps Engineer - Artificial Intelligence

Senior MLOps Engineer - Artificial Intelligence

Bloomberg LP

New York, NY • On-site

$114K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

Senior MLOps Engineer - Artificial Intelligence
Location
New York
Business Area
Engineering and CTO
Ref #
10049628
Description & Requirements
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior MLOps Engineers with strong expertise and passion for building and maintaining AI systems to join our team.
As a Senior MLOps Engineer you will design and build tools to improve the efficiency of our Model Development Life Cycle (MDLC), automate ML processes, enhance the performance of our systems and more.
Join the AI Group as a Senior MLOps Engineer and you will have the opportunity to:
  • Architect, build, and diagnose production AI applications and systems
  • Collaborate with colleagues on production systems and write, test, and maintain production quality code
  • Define and provide strong SLAs around latency, throughput and resource (memory / disk / network / CPU / GPU) usage
  • Work closely with AI Platform teams to operationalize continuous model training, inference, and monitoring workflows

We are looking for a Senior MLOps engineer with:
  • 4+ years of experience working with an object-oriented programming language (Python, Go, etc.)
  • A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
  • An understanding of Computer Science fundamentals such as data structures and algorithms
  • An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management
  • Industry experience with machine learning teams
  • Working knowledge of common ML frameworks such as PyTorch, ONNX, DeepSpeed etc.
  • Prior experience with cloud-native technologies like Kubernetes, Argo Workflows, Buildpacks, etc.
  • Experience with cloud providers such as AWS, GCP or Azure
  • A track record of collaboration with colleagues to achieve repeatable high quality outcomes

We give back to the technology community and you can read more about our outreach at: http://www.techatbloomberg.com/ai
Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
Bloomberg logo

About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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