1

Senior Mlops Engineer Jobs (NOW HIRING)

MLOps Lead

New York, NY ยท On-site

$112K - $147K/yr

Senior MLOps Engineer Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices ...

Sr Software Engineer, MLOps

Seattle, WA ยท On-site

$150K - $180K/yr

About This Role We are seeking a Sr MLOps Engineer to build the model lifecycle, deployment, observability, and infrastructure foundations used by multiple production AI features, including ...

Sr Software Engineer, MLOps

WA ยท Remote

$150K - $180K/yr

About This Role We are seeking a Sr MLOps Engineer to build the model lifecycle, deployment, observability, and infrastructure foundations used by multiple production AI features, including ...

Senior Software Engineer, MLOps

Irvine, CA ยท 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 ...

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 - โ€ข 5 Plus years of Strong expertise in Azure Machine Learning ...

Senior Software Engineer, MLOps

Irvine, CA ยท 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 ...

Senior Software Engineer, MLOps

Irvine, CA ยท 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 ...

MLops Engineer Location: Plano, TX Duration: Long Term About CTC: Founded in 1996, CTC is a global ... What we're looking for Client Financial Services Enterprise Platforms team is looking for a Senior ...

MLOps Engineer

$185K - $200K/yr

The Role We're looking for an MLOps Engineer to build and operate the platform that gets our ... This is a hands-on, senior-individual-contributor role: you'll set technical direction in your area ...

Senior MLOps Engineer, GenAI Framework

Santa Clara, CA ยท On-site

$143K - $189K/yr

Building upon the latest DevOps tools, your work will enable GenAI framework software engineers, deep learning algorithm engineers, and research scientists to work efficiently with a wide variety of ...

Mentor mid-level and senior engineers on the MLOps team through code review, design review, and direct collaboration. * Influence: Partner with the Training Infrastructure engineer on the cluster ...

Mentor mid-level and senior engineers on the MLOps team through code review, design review, and direct collaboration. * Influence: Partner with the Training Infrastructure engineer on the cluster ...

next page

Showing results 1-20

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 Jul 14, 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:
What job categories do people searching Senior Mlops Engineer jobs look for? The top searched job categories for Senior Mlops Engineer jobs are:
MLOps Lead

MLOps Lead

Fractal

New York, NY โ€ข On-site

$112K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Senior MLOps Engineer
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Workยฎ Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.
Please visit Fractal | Intelligence for Imagination for more information about Fractal
Location: Remote (East Coast time zone)
Note: This position is not eligible for Immigration Sponsorship at this time.
ROLE SUMMARY:
Building the machine learning production System (or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organization. This position is an opportunity for an experienced, server-side developer to build expertise in this exciting new frontier. You will be part of a team deploying state-of-the-art AI solutions for Fractal clients.
RESPONSIBILITIES:
Based out of US, Leader for MLOPs will be the key leader in the AI@Scale practice. The person will be responsible to architect and execute technology projects across client AI and Engineering engagements. S/He will be accountable for building a trusted relationship, at middle and senior management across lines.
Technical Leadership:
  • As the MLOps leader, S/he will support client projects, lead solution design, and contribute to the overall MLOps engineering using on-premise (open-source) or cloud-based (AWS) architectures
  • Act as a subject matter expert in machine-learning model deployment and MLOps pipelines - strong understanding of Machine-learning model building lifecycle, deployment, monitoring and production
  • Research and evangelize the use of GenAI, data-science and engineering solutions for strategic decision-making
  • Articulate business value and benefits of the technological solution to senior business and technology partners
  • Research, design and implement leading-edge MLOps architecture patterns to solve hard problems for the clients
  • Bring GenAI, data-science & engineering thinking to win large AI led digital transformation deals

Execution Focus:
  • Lead client delivery engagements. Develop detailed business case, product roadmaps and financial justifications to quantify the business value of technological programs
  • Implement AI and engineering processes and governance methods to manage the risk of delivery
  • Help clients to define and design AI based solution architectures

Thought Leadership:
  • Lead and energize the teams and clients by providing thought leadership in enterprise-grade machine-learning operations and modern cloud adoption patterns
  • Develop product roadmaps and help clients prioritize based on business objectives and impact

QUALIFICATIONS:
Fractal seeks to hire a seasoned Technologist who will help in discovering and implementing state-of-the-art solutions for their AI and Machine Learning projects to enable rapid experimentation, increase accuracy of the models, ensure high quality of their products and achieve customer delight.
The ideal candidate should possess the following key requirements:
  • 15+ years of experience building engineering and data-science businesses across various technologies
  • Deep technical skills along with strong client and market orientation
  • Experience or expertise in building and deploying machine-learning pipelines
  • Experience or expertise in cloud-based and hybrid deployments
  • Experience in Model repository (either of): MLFlow, Kubeflow Model Registry
  • Experience working across all phases of model development lifecycle to build MLOPs components
  • Experience with cloud-based technologies (AWS)
  • Experience building production grade LLM based solutions
  • Should be a visionary, should have experience in building large production systems
  • Prior experience engaging with CXO's of client companies
  • Client Service Orientation, Ability to work with client leadership to develop solutions, build trust and deploy appropriate scalable solutions
  • Exhibits High learning orientation. Stay abreast of and share industry/technology trends relevant to the AI Machine learning discipline

EDUCATION:
B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent
PAY:
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $140,000 - $205,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.
BENEFITS:
As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plan in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.
Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Hiring Related Queries
India: HiringsupportIndia@fractal.ai
Outside India: HiringsupportROW@fractal.ai
This inbox does not process resume submissions. All applications must be made through posted job openings
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!