Picking and Packing Staff Required in London

Picking and Packing Staff Required in London

London Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Join us to research and develop cutting-edge machine learning tools.
  • Company: Exciting London-based startup focused on AI you can trust.
  • Benefits: Flexible working hours and a dynamic office environment.
  • Other info: Great opportunity for growth in a fast-paced startup.
  • Why this job: Be at the forefront of AI innovation and make a real impact.
  • Qualifications: Experience in machine learning, Python, and software engineering.

The predicted salary is between 70000 - 90000 Β£ per year.

We are a London-based, VC-backed pre-seed startup working with mechanistic interpretability to provide model security. Telluvian β€” AI you can trust.

The role involves:

  • Machine learning research, specifically on language model interpretability
  • Building and maintaining ML tools in Python
  • Software product development
  • Experience in software engineering
  • Experience in DevOps
  • Experience with standard Python frameworks β€” NumPy, PyTorch, Transformers
  • Flexible, fast-paced and independent working

The working hours are flexible, but you will be expected to work from the London office at least 4 days a week. The start date is flexible β€” we have mid-July in mind.

Picking and Packing Staff Required in London employer: Telluvian

Telluvian is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about machine learning and AI. Located in the heart of London, we offer flexible working hours and a collaborative environment that encourages personal and professional growth, making it an ideal place for talented individuals to thrive and contribute to cutting-edge technology.

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Contact Details:

Telluvian Recruitment Team

We think you need these skills to ace Picking and Packing Staff Required in London

Machine Learning Research
Language Model Interpretability
Python Programming
Software Engineering
DevOps
NumPy
PyTorch