Head of ML Ops
4 weeks ago
You will lead a 12 person team with immediate budget to hire, working across a variety of critical digital transformation & system scale projects across the business.
Experience:
1. Established or grown an ML Ops function.
2. Worked on developing Data & AI products at scale.
3. Established engineering functions.
4. Experience taking requirements from design to implementation within a matrixed organisation.
5. Used technologies like Splunk, Github, Gitaction, Argo, Spark, MLflow.
6. Coaching & leading agile development teams.
If this sounds like you, please get in touch; we'd love to hear from you.
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