Machine Learning Infrastructure Engineer

2 months ago

London, United Kingdom European Tech Recruit Full time

Senior Machine Learning Infrastructure Engineer
Join a Leading AI Innovation Team as a Senior 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.

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. You will develop the core inference engine to seamlessly deploy large machine learning models to customers at scale and across distributed systems, contributing significantly to the automated pipeline, optimizing for high throughput training runs and rapid experimentation while achieving top hardware efficiency.

Please note that this role requires in-person presence in London, but this role offers visa sponsorship and relocation support. 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.).
Interest in and consideration of the impacts of AI technology.

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

By applying to this role, you understand that we may collect your personal data and store and process it on our systems.

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