Machine Learning Engineer

2 weeks ago

London Area, United Kingdom European Recruitment Full time

Machine Learning Engineer - Infrastructure | Research focused - LLM / AI Safety


An opportunity to Join a Leading AI Innovation Team as a Machine Learning Infrastructure Engineer. We are working with a London-based start-up dedicated to engineering cutting-edge AI systems poised to revolutionize industries worldwide.


The Role:

As a Machine Learning Infrastructure Engineer, you will play a crucial role in developing a robust framework for rapid training and experimentation of large language models.


Please note that this role requires in-person presence in London, but this role offers visa sponsorship and relocation support. Candidates should possess a minimum of 2-3 years of professional experience in a similar capacity.


Responsibilities:

  • Develop the core inference engine used to serve large machine learning models to customers at scale and across distributed systems.
  • Contribute significantly to the internal automated pipeline enabling high throughput training runs and rapid experimentation achieving top hardware efficiency optimisation.
  • Collaborate in defining and steering our evolving inference and training stack working with researchers, founders and advisors to develop the next generation of high availability LLM’s.
  • Build and grow our engineering organisation, setting a high bar of excellence that propels us forward.


Qualifications:

We are seeking candidates with exceptional ML engineering evidenced by:

  • Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch.
  • Proficiency in efficient serving of large machine learning models at scale, including quantization and distributed computing, leveraging libraries such as deepspeed.
  • Strong software engineering acumen with expertise in software design/architecture, particularly in Python.
  • Understanding of the latest AI research and ability to efficiently implement these systems.
  • Prior experience at a leading machine learning company (OpenAI, DeepMind, Meta, Anthropic, HuggingFace, etc.).


Nice to Have:

  • Experience as an early engineer at a fast-growing startup.
  • Interest in and consideration of the impacts of AI technology.


Interested? Apply directly through LinkedIn, or send your CV to


Key Words: Machine Learning / LLM / Large Language Model / PyTorch / High Performance Computing / HPC / GPU / TPU / Deepspeed / AI / OpenAI / Distributed Systems


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