ML Ops Lead (Engineer) required for a 6-month contract with a global financial services firm in London. Join a high-impact team building out scalable AI/ML solutions on an Azure and Databricks platform supporting varies areas of the organisation.
- Implement solid structure for Gen AI deployment and implement best practices within the team, leading on ML Ops frameworks & CI/CD pipeline design
- Build & scale AI/ML tooling across quants, risk, and trading desks
- Drive adoption of GenAI & LLMs with Azure OpenAI, Unity Catalog & more
- Partner with quant teams and central AI functions
Required:
- 2+ years ML Ops experience + 3+ years AI/ML engineering
- Excellent knowledge of ML frameworks and associated libraries in Python.
- Expertise in Azure Databricks, Python, Azure DevOps, ML life cycle
- Financial data/trading/derivatives domain experience is a plus
2 stage interview process
Location: Hybrid Central London office & remote (flexible)
6 months duration (possible extension)