MLOps Jobs | Find MLOps Career Opportunities

Browse through our curated list of MLOps jobs. Find the latest opportunities in MLOps with top companies. Updated daily with new positions.

Senior Product Manager - Platform

Weights & Biases San Francisco, California Full-time
At Weights & Biases, our mission is to build the best tools for AI developers. We founded our company on the insight that while there were excellent tools for developers to build better code, ther...
$165,000 - $220,000
per year

Senior Machine Learning Engineer

Blackpoint Cyber No location specified Full-time
Blackpoint Cyber is the leading provider of world-class cybersecurity threat hunting, detection and remediation technology. Founded by former National Security Agency (NSA) cyber operations experts wh...
Salary not specified

Support Engineer - Germany

Union.ai No location specified Full-time
About UsAt Union, we are solving one of the hardest challenges in AI infrastructure today: enabling high-velocity iteration while maintaining seamless production-readiness for AI workloads at scale. F...
Salary not specified

Lead Member of Technical Staff - Machine Learning Engineering

Salesforce California - San Francisco Full-time
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout Sale...
$200,800 - $276,100
per year

MLOps Tech Lead

NielsenIQ C/ Salvador de Madariaga 1, Madrid, Spain Full-time
Company DescriptionWe are seeking a Tech Lead / Engineering Manager with over 6 years of professional experience in software development to work with ML Ops Projects. The ideal candidate has a strong...
Salary not specified

MLOps Tech Lead

NielsenIQ Valladolid, Spain Full-time
Company DescriptionWe are seeking a Tech Lead / Engineering Manager with over 6 years of professional experience in software development to work with ML Ops Projects. The ideal candidate has a strong...
$60,000 - $90,000
per year

Member of Technical Staff - Data Infrastructure Engineer (DevOps|SRE|Platform Engineering|MLOps

Microsoft New York, New York, United States Full-time
As Microsoft continues to lead the frontier of artificial intelligence, we are seeking passionate and driven engineers to solve some of the most challenging and impactful AI problems of our time. Our...
$100,000 - $140,000
per year

Platform engineer, MLOps

Writer New York City Full-time
šŸ“ About this roleĀ As a Platform engineer, MLOps, you will be critical toĀ  deploying and managing cutting-edge infrastructure crucial for AI/ML operations, and you will collaborate with AI/ML engineer...
$100,000 - $150,000
per year

MLOps Engineer - 3 months

Updraft No location specified Contract
Updraft. Helping you make changes that pay off.Updraft is an award winning, FCA-authorised, high-growth fintech based in London. Our vision is to revolutionise the way people spend and think about mon...
$60,000 - $90,000
per year

Applied AI Engineer

Tako San Francisco Full-time
About TakoTako is an AI-first startup reinventing how companies manage people and payroll. We build products that eliminate bureaucracy, automate repetitive tasks, and give People teams the autonomy t...
$150,000 - $250,000
per year

The MLOps Job Market in 2025

Explore our curated selection of 23 MLOps opportunities, offering 2 different employment types including Full-time, Contract and more.

Salary Insights

Market Average $112,640/year
Salary Range $60,000 - $312,000/year

* Salary range indicates varying levels of experience and responsibility

Employment Landscape

Full-time
Contract

Leading Employers

NielsenIQ 2 openings
Union.ai 2 openings
IDT 1 opening
Buzz Solutions 1 opening
Xenon7 1 opening

Complementary Skills

Professionals in MLOps often work with these related technologies:

Career Outlook

While MLOps positions are more specialized, they offer unique opportunities for professionals looking to make an impact.

With competitive salaries averaging $112,640 per year, MLOps professionals are well-compensated for their expertise.

Why Choose MLOps?

  • High demand across 5+ companies
  • Opportunity to work with cutting-edge technologies
  • Clear career progression paths