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Senior Machine Learning Software Engineer

Inara
London
1 year ago
Applications closed

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Senior Machine Learning Engineer, Scaling World Models

Senior Machine Learning Software Engineer


Location: Hybrid / London


Salary: £70-85,000


Sector: AI Products & Solutions


No sponsorship is available for this role, sorry.


This is a leading AI product and solutions company who operate globally and work at the forefront of technology, across software, cloud and AI.


They partner with well known companies and vendors meaning you get to work on large scale exciting projects across your domain & sector.


There is plenty of opportunity to jump into exciting projects, continue to up-skill yourself and work along-side top collaborators within engineering & AI.

The work and teams you would mainly be working with are delivering real world solutions within the science and biology space, so you will directly be able to see the impact on people's lives with your work :)


The role:


  • You will be working across the whole software engineering & machine learning cycle, from design through to delivering large scale models and libraries
  • Your role would be to optimise performance and speed across their high performance computing systems to ensure the machine learning models run as fast as possible with no bottlenecks.
  • You would get to work across LLM, NLP and other deep learning.
  • You would be building and designing the systems for today as well as what the business needs over the next 6-12 months using cutting edge technology across ML & engineering.


Your skills:


  • You would have a mix of software engineering (python/ C++) and machine learning experience - across ML models and frameworks (such as Pytorch or Tensorflow)
  • You would have expert level software engineering in Python and also algorithms
  • You would have experience working on systems such as: HPC, GPU's or CUDA kernels, distributed systems or parallel computing.


Please send your CV to find out more. I look forward to hearing from you.

Thanks

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