Senior Machine Learning Engineer in London

Senior Machine Learning Engineer

European Recruitment are working closely with an exciting AI Safety start-up, based in London, who are looking for a Senior Machine Learning Engineer to join their team.

In this role you will join a team committed to engineering safe, beneficial AI systems that will have a massive positive impact on the future of humanity.

As a Senior Machine Learning Engineer , you’ll spearhead the scaling of their fine-tuning and inference frameworks for large language models.

Responsibilities as Senior Machine Learning Engineer :

• Build an automated fine-tuning framework that can scale to the next order of magnitude of training runs
• Explore novel synthetic data generation techniques in close collaboration with research teams to ensure high-quality and diverse data at scale.
• Engineer robust, high-performance inference platforms to ensure the products' reliability, throughput and speed at scale.
• Collaborate in defining and steering the company's evolving inference and training stack working with researchers, founders and advisors to develop the most powerful evaluation models.
• Found and grow the engineering organisation, setting a high bar of excellence as a core member of the team.

Requirements:

• Have experience operating orchestration systems such as SLURM, Ray, or similar.
• Experience in creating and managing multi-instance clusters for data and model parallel training across GPUs/TPUs, preferably using PyTorch and Kubernetes.
• Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing.
• Understanding around the latest AI research and a familiarity of the knowledge of how these systems can be efficiently implemented.

Desirable Experience:

• Experience at a leading machine learning company (Mistral, Anthropic, X.ai, HuggingFace, Neuralink, OpenAI, etc.)
• Interested in and thoughtful about of the impacts of AI technology.

If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to

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