Our mission

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.

The Team

Engineers + Academics

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🛠️

Our Vision

Let everyone earn from their data responsibly

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

careers

Our latest job openings

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.

ML Engineer (London, UK)

Location: On-site (Soho, Central London)
Type: Permanent, full-time (40 hours/week)
Job Description:

  • Work with engineers to integrate Language Models and other models into our data platform.
  • Enhance model recall and fact accuracy via dense retrieval augmentation from knowledge bases.
  • Benchmark storage systems on retrieval latency, data ingestion, and query capacity.
  • Use Ray and distributed training/inference techniques to optimize model performance.
  • Develop custom prompts and fine-tuning techniques for LLMs.
  • Implement CI/CD pipelines to rebuild, evaluate and deploy new LLM checkpoints.
  • Work with synthetic data and data synthesis.
  • Work on data pre-processing, model training, tuning, and evaluation.
  • Participate in research and development of new FL techniques, privacy preserving cryptography and methodologies.

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

Full-Stack Engineer (London, UK)

Location: On-site (Soho, Central London)
Type: Permanent, full-time (40 hours/week)
Job Description:

  • Design, develop, and maintain full-stack applications with a focus on functionality, security, and scalability.
  • Work with data scientists to connect language models and core AI capabilities into our React+Next.js+Tailwind frontend.
  • Strong background with Typescript (type safety is not a meme).
  • Experience with OpenAPI and Postgres.
  • Operationalize and monitor services on GCP leveraging Cloud Run, Build etc.
  • Bonus- experience/ knowledge with any of the following: Prompt Engineering, Cryptography, gRPC, Python Applications (fastAPI)

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