Senior Cloud Engineer

Boehringer Ingelheim; Greater London; Hybrid; GBP 80,000 - 110,000; Full time

Job summary

Boehringer Ingelheim in London is hiring a Senior Cloud Engineer, ML Platforms to design, build and evolve AWS-based infrastructure enabling the full ML lifecycle for Computational Biology.

You will collaborate with researchers, ML engineers and platform teams to ensure secure, scalable environments, manage CI/CD pipelines and model delivery, and drive automation and onboarding improvements across the AI Accelerator initiatives.

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 Databricks, MLflow, Jenkins, Bitbucket, OpenShift or comparable platforms.
• Ability to troubleshoot complex technical issues and continuously improve platform reliability, performance and efficiency.
• Strong stakeholder management and communication skills, with the ability to work effectively across international and cross-functional teams.
• Degree or equivalent qualification in Information Technology, Computer Science or a related field.

Responsibilities

• Design, maintain and continuously improve AWS-based infrastructure supporting ML workloads, including SageMaker, networking, IAM, storage, compute resources and model endpoints.
• Manage cloud environments through Infrastructure as Code, ensuring consistency, scalability and compliance with enterprise architecture, security and governance standards.
• Monitor platform performance, availability, security findings and resource utilization, proactively identifying and resolving operational issues.
• Plan and manage cloud capacity, including CPU, GPU, storage and networking resources, balancing business needs, platform performance and cost efficiency.
• Build and support infrastructure for MLOps processes, including CI/CD pipelines, experiment tracking, model registries, automated workflows and model deployment.
• Develop reusable automation and platform capabilities that simplify onboarding, reduce manual work and improve the user experience for researchers and ML teams.
• Enable and maintain integrations between AWS services and supporting technologies such as Databricks, MLflow, Jenkins, Bitbucket, OpenShift and related platforms.
• Act as the primary technical contact for stakeholders, translating business and research requirements into effective cloud and platform solutions.
• Create and maintain technical documentation, support onboarding activities and contribute to the evaluation of new cloud and MLOps technologies

Skills

AWS infra

SageMaker

CI/CD

Security governance

MLOps

Education

Degree in IT/CS or related field

Tools

Databricks

MLflow

Jenkins

Bitbucket

OpenShift

Job description

The Senior Cloud Engineer, ML Platforms is responsible for building, maintaining and evolving the cloud infrastructure that enables machine learning activities within Computational Biology. Working closely with researchers, ML engineers and platform teams, you will ensure that AWS-based environments remain secure, scalable and reliable while supporting the full machine learning lifecycle, from experimentation and model training through deployment and production operations.

As part of this role, you will work closely with Boehringer Ingelheim's newly established AI Accelerator in London, supporting the cloud and platform capabilities behind its AI and machine learning initiatives. This is an opportunity to contribute to the infrastructure that enables cutting-edge research teams to develop, scale and deploy advanced AI solutions across a wide range of biomedical challenges.

THE POSITION

The Senior Cloud Engineer, ML Platforms is responsible for building, maintaining and evolving the cloud infrastructure that enables machine learning activities within Computational Biology. Working closely with researchers, ML engineers and platform teams, you will ensure that AWS-based environments remain secure, scalable and reliable while supporting the full machine learning lifecycle, from experimentation and model training through deployment and production operations.

Tasks and Responsibilities

• Design, maintain and continuously improve AWS-based infrastructure supporting machine learning workloads, including SageMaker, networking, IAM, storage, compute resources and model endpoints
• Manage cloud environments through Infrastructure as Code, ensuring consistency, scalability and compliance with enterprise architecture, security and governance standards
• Monitor platform performance, availability, security findings and resource utilization, proactively identifying and resolving operational issues
• Plan and manage cloud capacity, including CPU, GPU, storage and networking resources, balancing business needs, platform performance and cost efficiency
• Build and support infrastructure for MLOps processes, including CI/CD pipelines, experiment tracking, model registries, automated workflows and model deployment
• Develop reusable automation and platform capabilities that simplify onboarding, reduce manual work and improve the user experience for researchers and ML teams
• Enable and maintain integrations between AWS services and supporting technologies such as Databricks, MLflow, Jenkins, Bitbucket, OpenShift and related platforms
• Act as the primary technical contact for stakeholders, translating business and research requirements into effective cloud and platform solutions
• Create and maintain technical documentation, support onboarding activities and contribute to the evaluation of new cloud and MLOps technologies

Requirements

• 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
• Ability to troubleshoot complex technical issues and continuously improve platform reliability, performance and efficiency
• Strong stakeholder management and communication skills, with the ability to work effectively across international and cross-functional teams
• Degree or equivalent qualification in Information Technology, Computer Science or a related field

This is a hybrid role with approximately 3 days a week in the office.

Our Company

Boehringer Ingelheim is a biopharmaceutical company active in both human and animal health. As one of the industry's top investors in research and development, the company focuses on developing innovative therapies that can improve and extend lives in areas of high unmet medical need. Independent since its foundation in 1885, Boehringer takes a long-term perspective, embedding sustainability along the entire value chain. Our approximately 54,300 employees serve over 130 markets to build a healthier and more sustainable tomorrow. Learn more at www.boehringer-ingelheim.com.

Why Boehringer Ingelheim?

With us, you can develop your own path in a company with a culture that knows our differences are our strengths - and break new ground in the drive to make millions of lives better.

Here, your development is our priority. Supporting you to build a career as part of a workplace that is independent, authentic and bold, while tackling challenging work in a respectful and friendly environment where everyone is valued and welcomed.

Alongside, you have access to programs and groups that ensure your health and wellbeing are looked after - as we make major investments to drive global accessibility to healthcare. By being part of a team that is constantly innovating, you'll be helping to transform lives for generations.

Want to learn more? Visit https://www.boehringer-ingelheim.com