Senior Software Engineer, ML Infrastructure
- Location
- Cambridge, England, United Kingdom
with clear evidence of your contribution and its operational or adoption impact. A practical understanding of the ML lifecycle: training, evaluation, versioning, deployment, online validation, monitoring and safe rollback. Experience designing for latency, resilience, observability and cost in production systems. Experience with LLMs, embeddings, semantic search, retrieval or agent systems ...