Senior Cloud Engineer - ML Platforms
Boehringer Ingelheim27 days ago
London, United KingdomSenior
Responsibilities
- Design, maintain, and improve AWS infrastructure supporting machine learning workloads.
- Manage cloud environments, automation, security, governance, compliance, and access management.
- Monitor platform performance, availability, security findings, resource utilization, and operational issues.
- Plan CPU, GPU, storage, networking, and cloud capacity while balancing performance and cost efficiency.
- Build and support MLOps infrastructure, including CI/CD pipelines, experiment tracking, model registries, automated workflows, and model deployment.
- Develop reusable automation and platform capabilities that simplify onboarding and reduce manual work.
- Maintain integrations between AWS services, Databricks, MLflow, CI/CD pipelines, and related platforms.
- Partner with international, cross-functional stakeholders and maintain technical documentation and onboarding materials.
- Evaluate new cloud and MLOps technologies and troubleshoot complex technical issues.
Requirements
- Hands-on experience designing, implementing, and supporting cloud infrastructure in AWS environments.
- Proven experience building and operating cloud infrastructure for ML/MLOps platforms, such as model training environments, ML pipelines, model registries, or model deployment and serving.
- Strong knowledge of AWS services including SageMaker, IAM, networking, storage, compute services, and container technologies.
- Experience with Infrastructure as Code and cloud automation practices.
- Understanding of cloud security, governance, compliance, and access management principles.
- Knowledge of CI/CD practices and tools used for software and machine learning delivery.
- Ability to troubleshoot complex technical issues and improve platform reliability, performance, and efficiency.
- Strong stakeholder management and communication skills across international and cross-functional teams.
- Degree in Information Technology, Computer Science, or a related field, or equivalent practical experience.
Benefits
- The role is based in London and supports Boehringer Ingelheim’s newly established AI Accelerator.
- Boehringer Ingelheim is recognized as a Top Employer in the UK and highlights supportive people practices and HR policies.
Tech Stack
Categories
About Boehringer Ingelheim
Boehringer Ingelheim develops and manufactures prescription medicines for humans and animal health products, and provides biopharmaceutical contract manufacturing services. The family-owned company was founded in 1885 and is headquartered in Ingelheim am Rhein, Germany. Its portfolio spans areas such as cardiovascular and metabolic diseases, respiratory disorders, oncology, and vaccines for livestock and companion animals, with products marketed globally.