Platform Engineer (DevOps / MLOps Focus)

We''re partnering with an organisation delivering a cutting-edge AI platform project. This is an opportunity to join a highly technical team building the cloud infrastructure and platform capabilities that power large-scale AI and machine learning solutions. You''ll play a key role in designing, building and maintaining scalable, secure and resilient platform infrastructure, enabling engineering and data teams to deploy and operate AI workloads efficiently. What you''ll be doing: Building and managing cloud-native infrastructure to support AI and ML applications. Designing and maintaining Kubernetes environments for production workloads. Developing and managing Infrastructure as Code using Terraform. Supporting CI/CD pipelines and platform automation initiatives. Improving platform reliability, observability and scalability. Collaborating closely with Software Engineers, Data Engineers and ML teams to optimise deployment workflows and infrastructure performance. Essential experience: Strong commercial experience with Kubernetes. Hands-on experience building Infrastructure as Code using Terraform. Experience working with cloud platforms such as AWS, Azure or GCP. Experience with containerisation technologies including Docker. Strong understanding of CI/CD principles and DevOps best practices. Experience supporting highly available, scalable production environments. Nice to have: Experience with Kubeflow and ML platform tooling. Exposure to AI, machine learning or ..... full job details .....