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 GenAI projects.Experience ..... full job details .....