Any Office or RemoteUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on building and operating the production ML lifecycle, including model deployment, observability, and retraining. The description heavily emphasizes ML engineering and MLOps practices.
Mercury's use of machine learning in risk decisioning is growing fast in scope and in stakes. Models increasingly drive real-time decisions about fraud and financial crime, and the Machine Learning Platform (MLP) team exists to build a paved path from a trained model to a reliable production deploy…
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Faire · Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ON
95/100
Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ONUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on building and operating a scalable ML platform, productionizing ML workloads, and supporting data scientists in deploying models. The tech stack heavily emphasizes ML tools and infrastructure.
About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech…
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Faire · Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ON
95/100
Kitchener-Waterloo, ON, San Francisco, CA, Toronto, ONUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on building and operating a scalable ML platform, productionizing ML workloads, and supporting data scientists. The tech stack heavily emphasizes ML tools and infrastructure.
About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech…
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Toronto, ON, CanadaGermanygreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on building and deploying ML infrastructure for marketing optimization, including LLM-based agents and visual AI pipelines. The job description highlights the need for expertise in ML frameworks, data pipelines, and productionizing…
We are seeking a Senior Machine Learning Engineer to join the Growth Tech Alliance. In this role, you will architect and deploy the robust infrastructure behind our intelligent marketing systems. You will be responsible for maturing algorithmic prototypes into high-performance production systems, e…
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Wayve · London, United Kingdom
95/100
London, United KingdomUKgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on the ML delivery pipeline, model release processes, and ensuring quality of machine learning models. The responsibilities directly involve technical work with ML training, infrastructure, and evaluation.
About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create…
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Toronto, ON, CanadaGermanygreenhouse2026-08-25
Why this is a real AI job: The role is explicitly focused on building and maintaining generative AI systems for recipe content creation and a supporting MLOps platform. The job description heavily emphasizes AI/ML technologies and their application to core business functions.
We are hiring a Machine Learning Engineer in our ML Solutions squad to help build innovative generative AI products that provide AI-powered assistants to HelloFresh's culinary Chefs helping them editorialize content, validate recipe data, detect issues, suggest corrections, and ideate. As a Machine…
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Any Office or RemoteUSAgreenhouse2026-08-24
Why this is a real AI job: The role is entirely focused on building and operating the production ML lifecycle, including model deployment, observability, and retraining. It directly involves working with models developed by Data Scientists and ensuring their reliable operation in a pro…
Mercury's use of machine learning in risk decisioning is growing fast in scope and in stakes. Models increasingly drive real-time decisions about fraud and financial crime, and the Machine Learning Platform (MLP) team exists to build a paved path from a trained model to a reliable production deploy…
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Zscaler · Office - Bangalore, India
95/100
Office - Bangalore, IndiaUSAgreenhouse2026-08-09
Why this is a real AI job: The role explicitly focuses on designing, deploying, and maintaining GenAI/ML systems in a production environment. The job description heavily emphasizes experience with LLMs, RAG, Agentic AI, and MLOps practices.
About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange…
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Köln, Nordrhein-Westfalen, DeutschlandDeutschlandba_search2026-08-03
Why this is a real AI job: Der Jobtitel und die Beschreibung deuten stark auf eine Kernrolle im Bereich MLOps/LLMOps hin, was die Bereitstellung, Überwachung und Skalierung von Machine Learning Modellen und LLMs umfasst. Die explizite Nennung von MLOps und LLMOps im Titel ist ein stark…
MLOps / LLMOps Engineer (m/w/d) IT-Systemadministrator/in
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Comma Soft · Bonn, Nordrhein-Westfalen, Deutschland
95/100
Bonn, Nordrhein-Westfalen, DeutschlandDeutschlandba_search2026-08-03
Why this is a real AI job: Die Stellenbezeichnung und die Beschreibung konzentrieren sich direkt auf MLOps Engineering, was ein Kernbereich der KI-Infrastruktur und des Modell-Deployments ist.
(Associate) Consultant MLOps Engineering (m/w/d) IT-Berater/in
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