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# cloud engineer for ML platforms

- **Company:** Описаниеboehringer Ingelheim
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Cloud Computing, Cloud Computing Security, Cloud Database, Cloud Engineering, Continuous Integration, Identity and Access Management, Machine Learning, OpenShift, Azure Machine Learning, Software Troubleshooting, Information Technology, Bitbucket, Machine Learning Operations, Jenkins, Databricks
- **Published:** September 7, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/cloud-engineer-for-ml-platforms/46388655

## About the Role

management principlesExperience supporting machine learning, data science or MLOps platformsKnowledge of CI/CD practices and tools used for software and machine learning deliveryExperience working with technologies such as Databricks, MLflow, Jenkins, Bitbucket, OpenShift or comparable platformsAbility to troubleshoot complex technical issues and continuously improve platform reliability, performance and efficiencyStrong stakeholder management and communication skills, with the ability to work effectively across international and cross-functional teamsDegree or equivalent qualification in Information Technology, Computer Science or a related fieldУсловияHybrid role with approximately 3 days a week in the office. #J-18808-Ljbffr

## Description

workflows and model deploymentDevelop reusable automation and platform capabilities that simplify onboarding, reduce manual work and improve the user experience for researchers and ML teamsEnable and maintain integrations between AWS services and supporting technologies such as Databricks, MLflow, Jenkins, Bitbucket, OpenShift and related platformsAct as the primary technical contact for stakeholders, translating business and research requirements into effective cloud and platform solutionsCreate and maintain technical documentation, support onboarding activities and contribute to the evaluation of new cloud and MLOps technologiesТребованияHands-on experience designing, implementing and supporting cloud infrastructure in AWS environmentsStrong knowledge of AWS services including SageMaker, IAM, networking, storage, compute services and container technologiesExperience with Infrastructure as Code and cloud automation practicesUnderstanding of cloud security, governance, compliance and access


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