Newcastle Upon Tyne, Tyne And Wear, United Kingdom Hybrid / WFH Options
BBC Group and Public Services
Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design … demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture. Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production environments. Proven track record More ❯
delivery timelines. Knowledge of network fundamentals and HTTP protocol. A proactive attitude and the ability to collaborate closely with a development team. Experience or exposure to tools such as ECS, RDS, Lambda, ElastiCache, Ansible, or monitoring solutions like Datadog or Prometheus. The benefits included with this opportunity £1,500 annual learning budget for professional development. 25 days of annual More ❯
from the data scientist(s) within the team. Docker: Creating and managing images to allow the Python packages described above to be run in AWS via ElasticContainerService (ECS) CI/CD: GitLab CI Configuring pipelines to facilitate the deployment of the previously mentioned Python packages to various environments. Stages include unit tests, package building and security scanning … various AWS environments. IaC: Terraform Configuring and updating terraform modules to deploy various applications and infrastructure into AWS environments Creating, deploying, monitoring, and diagnosing issues in services such as ECS, S3, IAM, Athena, VPC If this is something of interest, please apply. More ❯
