UbiOps
Technology, Information and Internet
Powerful model serving and orchestration for your AI & ML projects, without the hassle of managing Kubernetes & cloud infrastructure.
Is UbiOps hiring?
Yes. As of November 1, 2026, UbiOps has 4 open roles on Metaintro. 3 were posted in the last 30 days.
Open roles
Newest first. Pay shown when the posting lists it.
- DevOps EngineerDevOpsThe Hague · Hybrid · €42K – €66K/yrThe HagueHybrid€42K – €66K/yr10d ago
- AI Infrastructure EngineerDevOpsThe Hague · Hybrid · €42K – €66K/yrThe HagueHybrid€42K – €66K/yr10d ago
- Solution ArchitectTech GeneralThe Hague · Hybrid · €58K – €81K/yrThe HagueHybrid€58K – €81K/yr11d ago
- Full-stack AI EngineerDeveloperThe Hague · Hybrid · €52K – €80K/yrThe HagueHybrid€52K – €80K/yrAug 19, 2026
Hiring pattern
How fast UbiOps is adding roles, and how they're set up.
New roles each monthRoles first posted in the month
How roles are set upShare of open roles
Customers
All 22 companies UbiOps names as customers.
Customers hiring now3
- BBayer1,538 open roles
- ProRail44 open roles

- SSiemens Mobility1 open role
Case studies15
- RRidder
- PPheno-Inspect
- BBayer Crop Science
- EEllogon AI
- DDuckDuckGoose
- TTNO Wind Energy
- GGradyent
- EEmersio
- RReef Support
- SSia Soft
- BBAM Infra Netherlands
- BBAM Building Analytics
- NNational Cyber Security Centre
- AASSET Rail
- IIv-Infra
Other customers4
- PProjectmanager Vernieuwing at ProRail
- BBAM Energy Systems
- SSiemens Mobility in the Netherlands
- BBAM Energy
What their customers say
Quotes from people at UbiOps's customers.
“With UbiOps we managed to significantly reduce the time and efforts needed for deploying and managing our AI models for detecting failures of our switch heating installations”
“Thanks to UbiOps, it will be very easy and quick for us to scale up. Because of the fact that everything happens in the cloud, it doesn’t matter where the greenhouse is located. We could have customers all over the world.”
“I sometimes had a request to adjust something, and then they appeared to already be working on it themselves. It was great that you had a contact person with whom to discuss things directly. In our case that was Kees van Bezouw. He has been an excellent help to us.”
“Now and then we stumbled upon things, but they always managed to resolve it quickly”
“The collaboration with UbiOps was an important step. The processing of the data and the training and adjustment of the models wouldn’t have been possible on that laptop. I recreated the pipeline that I had running on my own laptop on the platform. That was very easy to do: upload the Python code, then the UbiOps platform builds a docker around it. If your Python code works locally, it works in UbiOps too.”
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“They are very flexible and understand our processes. They also believe in what we do. They have proven that they can adapt their services and capacity effectively to meet our wishes and requirements. With a flexible pricing system that matches what we need. Now and in the future. We are positive across the board.”
“The on demand offering of UbiOps ensures that there’s GPU availability, with the option to scale very rapidly. Also, with UbiOps’ scale-to-zero functionality we don’t need to pay for GPU resources if the application is not being used, e.g., off-season.”
“After testing UbiOps for the first time, our AI scientists were positive that the anticipated goals will be achieved. The reliability of the platform is very high, which is very important to us. The platform has 99.99% uptime, and the speed of request handling is particularly consistent. Currently, we are further scaling up the number of applications. I believe if we can profit from it, so can other organizations that require on-demand rapid scaling across GPUs with high reliability.”
“Once we bring our computer vision models into production, we do not know upfront how they will be used, i.e., how their workloads will scale over time. Agriculture is a seasonal business that is heavily influenced by environmental conditions, e.g., weather, pests, etc. Hence, model loads can significantly vary per day or even per minute. As a result, an underlying infrastructure that can optimize load across GPUs rapidly to cope with unpredictability and still provide high throughput is essential. That’s how we discovered UbiOps.”
“We were looking for a solution that adapts to our computer vision models inferencing workloads on-demand. Whilst at the same time minimizing or potentially avoiding an upfront investment in IT infrastructure with GPU resources. One of the biggest challenges of existing solutions is to deliver inferencing results reliably in real-time, given unpredictable customer behaviour. With UbiOps we have found a solution that is able to cope with this challenge by scaling on-demand across GPUs rapidly.”
“UbiOps provides a scalable environment. Meanwhile, as an added bonus, we only pay for the computing capacity that we actually use,”
“UbiOps was able to offer us a platform that was already running in a production environment. It is a robust and very user-friendly environment, into which we were able to integrate our complex workflow well.”
“Thanks to UbiOps, we can offer our tool in the form of Software as a Service, which works in the cloud. All the hospital has to do is send us the digitised tissue.”
“What was also important in our choice was the fact that UbiOps is a Dutch company and similar in size to our own organisation. It’s also good to know that I am just one phone call away from the CEO. With a big mega-organisation, you can forget about that. They are able to adapt quickly and are willing to contribute, growing along with us in order to implement our solution. Because their social impact is fundamental to them.”
“Thanks to UbiOps, we are also cloud provider-independent. In the event of an outage at a cloud provider, UbiOps ensures that we can switch to another provider straight away and thus continue with our analyses. This means that we will still be able to provide the hospitals that rely on us with their results quickly.”
“Without UbiOps, we would easily have spent six more months on the go-to-market strategy. And then we would still have had to find good full-stack developers if we had had to build everything ourselves.”
“By collaborating with UbiOps we can efficiently serve our machine learning models on their platform. Their platform allows us to reach a larger audience in a very efficient way. Their professional support and easy and intuitive scaling helped us in deploying our codes, giving us more time to focus on the important problem of deepfake detection”
“By collaborating with UbiOps we can efficiently process large amounts of Lidar data using our state-of-the-art machine learning algorithms. Their platform allows us to develop and deploy our concepts in a professional way, improving both accessibility and reliability. We have found them to be a very supportive partner, very keen to adapt and extend their platform’s capabilities to support our rather specific needs.”
“Security is also an important factor. One benefit of the managed solution is that UbiOps maintains the cluster and ensures everything is up to date, in our cloud – so we practically own it. And because it involves mission-critical systems, we provide optimal protection of the digital twins and the data.”
“It involves the live control of energy networks; which cannot go down.”
“UbiOps’ solution is fully scalable, so it will continue to grow alongside us.”
“It lowers the barrier to entry as much as possible. We can quickly make a fully calculated digital twin live, so it is ready for real-time optimization. UbiOps makes sure we always have the latest and greatest version, including all its options.”
“We used to do it ourselves, but it is just not as efficient. The UbiOps team can do it better and it saves us a massive amount of time.”
“UbiOps’s platform came along at the perfect time: they meet and complement many of our requirements. Over the years, we have asked ourselves whether or not we should create our own platform, or to join up with a different company. But our conclusion was always the same: they offer exactly what we need. It is amazing! They are always a front-runner with their features, whenever we need something it turns out it’s already an option – or planned for release in the next update.”
“Every engineer in my team without cloud experience can learn to work with UbiOps within 30 minutes. And that is, in part, to its easy user interface.”
“I would recommend UbiOps for startups. We could use our existing credits, and the tool is so simple and efficient that we are much more advanced with our product timewise than anticipated. Speediness is very important for our startup, as is being able to manage our models with a minimum of employees. UbiOps helps tremendously with our daily activities and our mission to enhance the health of coral reefs.”
“It was a big risk for us to switch platforms with this deadline, but I was certain we would make it with UbiOps. Now, I’m glad we took the risk. We had three weeks to implement the model, but our model was running within just five days. It was beyond expectations, and we were delighted.”
“UbiOps exceeded our expectations. We are a small team with non-technical colleagues, and they also understand and work in UbiOps. The documentation was clear, and we needed minimal support from UbiOps to get started.”
“The on-demand feature was an extremely convenient solution for us, since we didn’t have to change our data structure and could deliver continuously. UbiOps used our real-life case to test this new feature and used our feedback to further develop this best-in-class solution.”
“For us that showed the service-oriented approach of UbiOps.”
AI launches and partners
What UbiOps has launched and who it works with on AI.
- LaunchAI workload orchestrationUbiOps orchestrates AI across Kubernetes, Virtual Machines and Bare Metal.
- LaunchAI applicationsUbiOps enables deployment of LLMs, computer vision and traditional data science models into fully functional AI applications.
- LaunchAI productionUbiOps simplifies AI production on any infrastructure.
- LaunchUbiOps platformUbiOps lets users train, deploy, and manage AI and ML models on any cloud or on-premise.
Skills they ask for
Most frequent across open postings.
Most requested skills
- Linux
- Python
- MLOps
- Kubernetes
- APIs
Tech stack
- CMS
- WordPress
- HubSpot CMS
- Analytics
- Google Tag Manager
- Marketing
- HubSpot
- Libraries
- jQuery
- Font Awesome
- D3.js
- Swiper
- Security
- Cookiebot
Company facts
- Headquarters
- The Hague, The Netherlands
- Industry
- Technology, Information and Internet
- Sector (NAICS)
- Information
- Peer
- Apple
- Website
- ubiops.com
- Careers
- ubiops.jobs.personio.com
- Social
- X
Similar companies
Companies in the same industry as UbiOps that are hiring now.
Questions about UbiOps
- Is UbiOps hiring?
- Yes. As of November 1, 2026, UbiOps has 4 open roles on Metaintro. 3 were posted in the last 30 days. The most are in DevOps (2), Developer (1), and Tech General (1).
- Does UbiOps offer remote or hybrid work?
- 83% of open roles are hybrid and 17% are remote.
- Who are UbiOps's customers?
- UbiOps names 22 customers, including Bayer, ProRail, Siemens Mobility, Ridder, and Pheno-Inspect.
- What skills does UbiOps look for?
- Its open roles most often ask for Linux, Python, MLOps, Kubernetes, and APIs.