Staff Machine Learning Engineer - Data Intelligence

Strong platform engineering fundamentals, with experience building and operating services that other teams depend on

Expertise in Python and experience with ML tooling and infrastructure

Deep experience with large-scale data systems (streaming, batch processing, data lakes)

Proven experience with ML infrastructure: model serving, vector databases, embedding pipelines

Strong understanding of cloud platforms (AWS preferred) and backend architecture

Experience building and optimising RAG and retrieval systems

You'll own the systems that sit between our product teams and the AI capabilities they need: LLM gateways, vector storage, retrieval infrastructure, and the guardrails that keep it all compliant and cost-effective.

Designing and operating the platform services that power AI features across Culture Amp, including inference pipelines, embedding storage, and retrieval systems

Building a scalable approach to vector search across diverse categories of unstructured data (survey responses, performance feedback, company documents)

Driving MLOps and LLMOps practices across the organisation, including observability, cost management, and reliability

Ensuring AI is used responsibly: implementing guardrails, security controls, and data compliance measures

Partnering with data scientists on the team to productionise models and evaluate new AI capabilities