- Deploy and operationalise AI/ML models into live production environments
- Build observability, monitoring, and continuous evaluation to manage model performance and drift
- Design and implement CI/CD pipelines for scalable, reproducible model delivery
- Optimise performance, reliability, and efficiency of existing AI solutions
- Set up tooling for model serving, versioning, and lifecycle management
- Lead documentation, knowledge transfer, and mentoring to upskill internal teams
- Strong Python and ML frameworks (PyTorch, TensorFlow)
- MLOps tooling (MLflow, Kubeflow or similar)
- Databricks
- Docker, Kubernetes, CI/CD pipelines
- Cloud platforms (AWS, Azure or GCP); Terraform experience preferred
- Financial services experience highly desirable
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Senior AI Engineer - London - Siena Partnership
Description
Job Description
The Siena Partnership are working with a leading financial services organisation is seeking a Senior Full Stack AI/ML Engineer for an initial 6-month contract (with the potential to extend or go perm).
This role focuses on taking AI models built by a third-party provider and turning them into robust, production-grade systems, while helping establish a long-term internal AI/ML engineering capability.
What you'll do
Technical requirements
A hands-on role with real impact, autonomy, and senior stakeholder exposure.
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