Stage: Well-funded AI company (£100M+ raised)

The Role

We’re working with an AI company building production‑grade systems for training and deploying cutting‑edge models on large‑scale multimodal data (video, embeddings, metadata).

You’ll join a small, senior team owning the full ML lifecycle from data ingestion through to production inference, working closely with applied scientists on real‑world deployments.

What You’ll Do

• Build and scale data platforms for large multimodal datasets
• Improve ML training infrastructure using PyTorch and Ray
• Develop tooling for evaluation, experimentation, and dataset inspection
• Own model lifecycle systems from versioning to production rollout

What They’re Looking For

• Experience deploying models into production environments
• Strong Python plus a production language (e.g. C++ or Java)
• Experience with distributed ...