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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 george@eu-recruit.com
Key Words: Machine Learning / LLM / Large Language Model / PyTorch / High Performance Computing / HPC / GPU / TPU / Deepspeed / AI / OpenAI / Distributed Systems
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