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Senior MLOps Engineer – Aioi Nissay Dowa Europe
About Us
At Aioi Nissay Dowa Europe (AND-E), part of the global MS&AD Insurance Group, we are pioneering the future of connected mobility and insurance technology. Our innovation initiatives bring together advanced data science, artificial intelligence, and cutting-edge security to deliver intelligent, customer-focused solutions. We are dedicated to creating a collaborative research environment where engineering excellence meets privacy-preserving AI innovation.
Website Link: https://www.and-e.com/
Job Overview & Key Responsibilities
We are seeking a Senior MLOps Engineer (Software Engineer 1 – Cloud Infra for Privacy AI) to join our privacy-preserving AI research programme based in Kingston upon Hull. Working directly under the Technical Lead, you will build, scale, and maintain cloud infrastructure tailored for secure machine learning workflows in a multi-partner research setting.
Key Responsibilities:
- Model Hosting & Serving: Deploy and maintain secure, high-performance infrastructure for model hosting and inference.
- Training & Compute Infrastructure: Build and manage resilient cloud compute and storage architectures optimized for large-scale AI training.
- Privacy & Security: Integrate robust privacy-preserving standards and access controls across secure data storage environments.
- Developer Tooling: Develop continuous integration, continuous deployment (CI/CD), and automated monitoring tools for machine learning pipelines.
- Partner with researchers, data scientists, and external partners to accelerate prototype deployment without compromising security.
Career Guide Tips for Privacy AI & MLOps Engineers
- Prioritize Security in ML Pipelines: In privacy-focused AI, securing data in transit, in use, and at rest is paramount. Deepen your knowledge of confidential computing, differential privacy, and federated learning frameworks.
- Standardize Infrastructure as Code (IaC): Use tools like Terraform or Ansible to make machine learning environment provisioning repeatable, auditable, and secure across multi-partner architectures.
- Bridge Research and Operations: Effective MLOps engineers act as translators between research scientists and production infrastructure, accelerating deployment cycles while maintaining platform reliability.
How to Prepare Your CV for This Position
- Highlight Cloud & MLOps Tooling: Clearly list your experience with major cloud providers (AWS, Azure, or GCP), container orchestration (Kubernetes, Docker), and ML frameworks (MLflow, Kubeflow).
- Emphasize Security & Compliance: Feature projects where you implemented role-based access control (RBAC), data encryption, or secure compute enclaves.
- Quantify Deployment Success: Include metrics that show how your infrastructure improvements reduced model deployment time, lowered latency, or increased pipeline reliability.
How to Apply
To apply for the Senior MLOps Engineer position, submit your updated CV and a cover letter detailing your relevant cloud infrastructure and machine learning experience through the official Aioi Nissay Dowa Europe careers portal or application link.
Disclaimer: Aioi Nissay Dowa Europe is an equal opportunity employer. All application decisions are based on merit, qualifications, and business needs. Position specifications, location arrangements, and project scopes remain subject to organizational confirmation.