Machine Learning Engineer in UNITED KINGDOM

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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