Machine Learning Engineer
Summary
Build and deploy ML and GenAI systems with MLOps and RAG pipelines, turning proof-of-concept AI into governed, auditable production for clients.
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.