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Machine Learning Engineer

3 months ago

Camden Area, Greater London, 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:

nAs 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:

nDevelop the core inference engine used to serve large machine learning models to customers at scale and across distributed systems.nContribute significantly to the internal automated pipeline enabling high throughput training runs and rapid experimentation achieving top hardware efficiency optimisation.nCollaborate 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.nBuild and grow our engineering organisation, setting a high bar of excellence that propels us forward.


Qualifications:

nWe are seeking candidates with exceptional ML engineering evidenced by:nExperience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch.nProficiency in efficient serving of large machine learning models at scale, including quantization and distributed computing, leveraging libraries such as deepspeed.nStrong software engineering acumen with expertise in software design/architecture, particularly in Python.nUnderstanding of the latest AI research and ability to efficiently implement these systems.nPrior experience at a leading machine learning company (OpenAI, DeepMind, Meta, Anthropic, HuggingFace, etc.).


Nice to Have:
nExperience as an early engineer at a fast-growing startup.nInterest 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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