AI Job Radar

Model Deployment Jobs – Page 11

Aktuelle KI-Jobs mit Model Deployment, passende Lernpfade und Bewerbungsbezug.

How to use Model Deployment in applications

If a job requires Model Deployment, 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.

110
Results
40
Companies
94.4
Average score
41
Remote

10 results on this page. 110 results in total. More results are available via pagination, company pages, skill pages and job detail pages.

Staff Data Scientist

HelloFresh · Sydney, Australia

90/100
Sydney, AustraliaGermanygreenhouse2026-10-24

Why this is a real AI job: The role explicitly focuses on building and leading a data science team to deliver machine learning solutions with a strong emphasis on hands-on technical work, model development, and experimentation. The description highlights core data science skills and te…

Job Description As the Staff Data Scientist, you will lead and develop a high-performing data science team, translating complex business challenges into scalable analytical and machine learning solutions that drive measurable commercial outcomes across HelloFresh's brands. This role is based in Chi…

Details Open source / apply

Staff Machine Learning Engineer - Ops

Wayve · London, United Kingdom

90/100
London, United KingdomUKFullTimeashby2026-10-24

Why this is a real AI job: The role is focused on the entire ML lifecycle for autonomous vehicles, including model integration, release, validation, and improvement. It requires deep understanding of ML training, model lifecycles, and related tooling.

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this…

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San Francisco, CAUSAgreenhouse2026-10-24

Why this is a real AI job: The role explicitly focuses on building and deploying machine learning systems for account abuse detection, a core AI application. The job description details tasks related to model training, evaluation, productionization, and feature engineering.

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…

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London, UKUSAgreenhouse2026-10-24

Why this is a real AI job: The role explicitly focuses on deploying and integrating LLMs (Claude) into scientific workflows and automating lab experiments. It requires building and scaling AI-powered tools for scientific research, and developing evaluations for model performance in a p…

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

Staff Data Scientist

Mercury · Any Office or Remote

90/100
Any Office or RemoteUSAgreenhouse2026-09-10

Why this is a real AI job: The role explicitly focuses on building, validating, deploying, and monitoring machine learning models for fraud detection. The job description heavily emphasizes ML experience and technical skills related to data science and model building. The 'Ideally you…

In 1999 NASA lost contact with its Mars Climate Orbiter after a 9 month journey from Earth. It began its planned orbital insertion maneuver but went out of radio contact after passing behind Mars. While we may never know whether it was destroyed in the atmosphere or re-entered heliocentric space, w…

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San Francisco, CAUSAgreenhouse2026-08-13

Why this is a real AI job: The role is explicitly focused on building and deploying AI solutions for robotics, working with foundation models, and developing data pipelines for training and deployment. The job description heavily emphasizes ML, data, and AI concepts.

The next frontier for AI is the physical world. At Scale, we're pioneering this shift, moving artificial intelligence from digital spaces into robotics. Our Robotics team builds the critical infrastructure that empowers the most sophisticated robotic efforts. We are currently seeking a strategic ML…

Details Open source / apply

Staff Machine Learning Engineer

Zscaler · Office - Bangalore, India

90/100
Office - Bangalore, IndiaUSAgreenhouse2026-07-21

Why this is a real AI job: The role explicitly focuses on building and maintaining ML pipelines, solving business problems with ML, and has requirements around ML experience. The company is described as 'AI-forward'.

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…

Details Open source / apply

ParisFranceFull-timelever2026-07-10

Why this is a real AI job: The role explicitly focuses on integrating and deploying Mistral AI's models (LLMs, GenAI) with customer software. The job description highlights collaboration with AI engineers and researchers, and a strong emphasis on technical problem-solving related to AI…

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, produ…

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Senior Data Scientist, Growth Alliance (f/m/x)

HelloFresh · Warszawa, Masovian Voivodeship, Poland

85/100
Warszawa, Masovian Voivodeship, PolandGermanygreenhouse2026-10-24

Why this is a real AI job: The role explicitly focuses on designing, building, and deploying ML models for marketing optimization, customer conversion, and personalization. The job description heavily emphasizes data-driven strategies and model performance in production.

Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & s…

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New York, NYSwedenPermanentlever2026-08-31

Why this is a real AI job: The role explicitly focuses on building and maintaining detection models for content moderation, which is a core AI/ML application. The team owns the infrastructure behind these models and their deployment.

We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of…

Details Open source / apply