AI Job Radar

MLOps Jobs – Page 33

Aktuelle KI-Jobs mit MLOps, passende Lernpfade und Bewerbungsbezug.

How to use MLOps in applications

If a job requires MLOps, the skill should be supported by a project, course or portfolio example. The application check reviews whether the skill is actually evidenced in your CV.

369
Results
84
Companies
93.6
Average score
72
Remote

10 results on this page. 369 results in total. More results are available via pagination, company pages, skill pages and job detail pages.

San Francisco, CAUSAgreenhouse2026-06-25

Why this is a real AI job: The role is explicitly focused on building AI products (RL environments and data strategy) for the healthcare industry. The job description heavily emphasizes AI/ML concepts, model training, and working with leading AI labs.

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world’s most important decisions. We’re looking…

Details Open source / apply

Washington, DCUSAgreenhouse2026-06-25

Why this is a real AI job: The role is explicitly focused on GenAI test & evaluation, owning the roadmap for evaluation capabilities, and improving the performance of agentic applications. The qualifications heavily emphasize technical expertise in AI systems and evaluation methodologi…

At Scale, our mission is to develop reliable AI systems for the world’s most important decisions. The Public Sector team is at the forefront of this mission, partnering with government agencies to deploy mission-critical agentic solutions. Role Overview The Public Sector GenAI T&E Product Manager w…

Details Open source / apply

Senior AI Product Manager, Finance Agents

Scale AI · New York, NY, San Francisco, CA

90/100
New York, NY, San Francisco, CAUSAgreenhouse2026-06-25

Why this is a real AI job: The role is explicitly focused on building AI products (RL environments and data strategy) for the Finance industry. It requires deep understanding of both finance *and* AI/ML, with a focus on training agents.

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world’s most important decisions. We’re looking…

Details Open source / apply

Staff Data Scientist - Trust and Safety

Databricks · San Francisco, California

90/100
San Francisco, CaliforniaUSAgreenhouse2026-06-25

Why this is a real AI job: The role explicitly focuses on developing and implementing ML models for fraud and abuse detection, analyzing security feature performance, and building data-driven solutions for compliance. This is a core data science/ML role.

RDQ426R282 Databricks is building the world's best and most secure platform for data and AI. We innovate and deploy industry-leading solutions in security, compliance, and governance. As a member of the Trust and Safety Data Science team, you will work on projects critical to ensuring the security…

Details Open source / apply

San Francisco, CaliforniaUSAgreenhouse2026-06-25

Why this is a real AI job: The role explicitly focuses on building and shipping generative AI products with a significant UI/UX component. The description highlights creating interfaces for GenAI agents and leveraging Databricks' AI platform. The emphasis on 0-to-1 product development…

P-1607 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure p…

Details Open source / apply

Senior Data Scientist

Databricks · San Francisco, California

90/100
San Francisco, CaliforniaUSAgreenhouse2026-06-25

Why this is a real AI job: The role explicitly focuses on building data-driven products, applying ML in production, and working with data science areas like forecasting and user behavior analysis. The candidate will be a key contributor to the company's AI platform and data strategy.

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges…

Details Open source / apply

Data Scientist, Supply

Anthropic · San Francisco, CA

90/100
San Francisco, CAUSAgreenhouse2026-06-25

Why this is a real AI job: The role is fundamentally focused on optimizing compute allocation for LLMs, requiring deep causal inference and data science expertise to improve model performance and user experience. The job description explicitly mentions AI/ML products and large language…

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…

Details Open source / apply

London, UKUSAFullTimeashby2026-06-25

Why this is a real AI job: The role explicitly focuses on applying data science and AI/ML techniques to measure and improve the safety of OpenAI's platforms. Tasks include developing AI-first methods for prevalence measurement, optimizing LLM prompts, and building productionized safety…

The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. Our team is at the front lines of defending against f…

Details Open source / apply

Applied AI Engineer

AssemblyAI · Remote

90/100
RemoteUSAgreenhouse2026-06-23

Why this is a real AI job: The role is centered around applying and implementing Speech AI models, building demos, troubleshooting production issues, and collaborating with research teams. A significant portion of the work directly involves AI/ML technologies.

Why AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we’re loo…

Details Open source / apply

AI Product Engineer

Fireworks AI · New York, San Mateo

90/100
New York, San MateoUSAgreenhouse2026-06-19

Why this is a real AI job: The role is deeply embedded in building and improving a generative AI platform, focusing on core components like inference, fine-tuning, and model deployment. The job description explicitly mentions working with LLMs and AI infrastructure.

About Us: At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge in…

Details Open source / apply