Senior Cloud Engineer - ML Platforms (Hybrid)

Biopharma Careers; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Biopharma Careers seeks a Senior Cloud Engineer, ML Platforms in London to design, implement and operate AWS-based infrastructure enabling ML initiatives. You will work with researchers, ML engineers and platform teams to ensure secure, scalable environments supporting the full ML lifecycle.

As part of Boehringer Ingelheim AI Accelerator, you’ll maintain cloud capabilities behind AI/ML initiatives, enabling scalable model training, deployment and production operations with strong security and

Qualifications

• Hands-on experience designing, implementing and supporting cloud infrastructure in AWS environments.
• 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.
• Experience supporting machine learning, data science or MLOps platforms.
• Knowledge of CI/CD practices and tools used for software and machine learning delivery.
• Experience working with technologies such as Databricks, MLflow, Jenkins, Bitbucket, OpenShift or comparable platforms.

Responsibilities

• Design, maintain and improve AWS-based infrastructure supporting ML workloads (SageMaker, networking, IAM, storage, compute, model endpoints).
• Manage cloud environments through Infrastructure as Code with governance and security standards.
• Monitor platform performance, security findings and resource utilization; resolve issues.
• Plan and manage cloud capacity: CPU, GPU, storage, networking; balance cost and performance.
• Build and support infrastructure for MLOps: CI/CD pipelines, experiment tracking, model registries, automated workflows.
• Develop automation to simplify onboarding and improve researcher experience.
• Enable integrations between AWS services and Databricks, MLflow, Jenkins, Bitbucket, OpenShift and related platforms.
• Translate business/research needs into cloud/platform solutions; document and support onboarding.

Skills

AWS cloud

SageMaker

IAM & security

Networking & storage

IaC / automation

MLOps platforms

CI/CD tooling

Databricks / MLflow

Jenkins / Bitbucket / OpenShift

Education

Bachelor's degree in IT/CS or related field

Tools

Databricks

MLflow

Jenkins

Bitbucket

OpenShift

Job description

Biopharma Careers seeks a Senior Cloud Engineer, ML Platforms in London to design, implement and operate AWS-based infrastructure enabling ML initiatives. You will work with researchers, ML engineers and platform teams to ensure secure, scalable environments supporting the full ML lifecycle.

As part of Boehringer Ingelheim AI Accelerator, you’ll maintain cloud capabilities behind AI/ML initiatives, enabling scalable model training, deployment and production operations with strong security and