Senior AI Engineer

Siena Partnership; England; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading financial services organisation is seeking a Senior Full Stack AI / ML Engineer for an initial 6-month contract in the UK. In this role, you will deploy AI models into production, build monitoring tools, and design CI/CD pipelines for model delivery. Ideal candidates will have strong Python skills and experience with ML frameworks like PyTorch and TensorFlow. Financial services experience is highly desirable. This role offers significant autonomy and exposure to senior stakeholders.

Qualifications

• Experience in deploying AI/ML models in production environments.
• Ability to design and implement CI/CD pipelines.
• Strong knowledge of MLOps tools and cloud services.

Responsibilities

• Deploy and operationalise AI/ML models into production environments.
• Build observability and monitoring for model performance.
• Lead documentation and knowledge transfer activities.

Skills

Strong Python

Machine Learning frameworks (PyTorch, TensorFlow)

MLOps tooling (MLflow, Kubeflow)

Docker

Kubernetes

CI/CD pipelines

Cloud platforms (AWS, Azure, GCP)

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 .

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

• 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

Technical requirements

• Strong Python and ML frameworks (PyTorch, TensorFlow)
• MLOps tooling (MLflow, Kubeflow or similar)
• Docker, Kubernetes, CI / CD pipelines
• Cloud platforms (AWS, Azure or GCP); Terraform experience preferred
• Financial services experience highly desirable

A hands-on role with real impact, autonomy, and senior stakeholder exposure.