Machine Learning Engineer
Summary
Build and deploy ML and GenAI systems with MLOps and RAG pipelines, ensuring governance and evaluation in production.
Take applied AI from proof of concept to governed, auditable production.
- Python
- GenAI
- MLOps
- RAG
Take applied AI from proof of concept to governed, auditable production. This is a senior-led role with real ownership — you scope, build and run the work, alongside people who ship.
What you’ll do
- Build and deploy ML and GenAI systems with evaluation and human review built in.
- Design data and retrieval pipelines on a governed platform.
- Partner with clients to turn ambition into shippable, defensible AI.
What you’ll bring
- 4+ years in applied ML/AI with production deployments.
- Strong Python and modern ML tooling; solid grasp of MLOps.
- Comfort with governance, evaluation and safety in regulated contexts.
Nice to have
- Experience with RAG and LLM evaluation.
- Financial services or healthcare domain knowledge.