Enable data commercialisation for AI responsibly
We use novel developments in machine learning, cryptography, and smart contracts to let everyone responsibly use and monetise data.
We use novel developments in machine learning, cryptography, and smart contracts to let everyone responsibly use and monetise data.
Valyu was founded at University College London's (UCL) Computer Science Department by researchers and academics. The skilled team has previously co-founded enterprise data/ML companies and worked on privacy, preserving data infrastructures with startups, enterprises and the government.
We just love building cool stuff that people love and have a good time doing it.
It's not just work, it's about making awesome stuff- pushing the boundaries of engineering and research....and enjoying every bit of it. Join us! 👇
#We build🛠️
We understand the immense value of data. In every byte, there's potential for AI to learn, adapt, and innovate. We're not just interested in accessing and monetizing this potential; we're dedicated to doing so responsibly for us and you. It's more than just algorithms and computations—it's about enabling AI to interact with data in a secure & transformative way; ensuring businesses and individuals can harness its full power.
"What's slowing down AI adoption? Two problems: scarcity of data and talent" - Andrew Ng
We are always on the lookout for talented engineers and researchers. Send us your CV even if we do not have an active role open.
Location: On-site (Soho, Central London)
Type: Permanent, full-time (40 hours/week)
Job Description:
Opportunities:
As an ML Engineer at Valyu, you will be at the forefront of working with and developing models (generative models and federated models) and techniques (Federated Learning) to enhance our data services. This role provides an excellent opportunity to contribute to projects that leverage AI for responsible data sharing and monetisation, while upholding data privacy standards.
We DO NOT expect you to have experience with all the above tools/frameworks; just be keen to learn!😊
APPLY HERE
Location: On-site (Soho, Central London)
Type: Permanent, full-time (40 hours/week)
Job Description:
Opportunities:
This role offers the chance to be part of an innovative and forward-thinking team, working on projects that have a real impact on the business and its users.
You will have the opportunity to work with the latest technologies and frameworks, constantly developing your skills and expertise. We foster a culture of learning, collaboration and creativity - we just love building stuff.
APPLY HERE