Python Engineer
Apply fast, check the full description by scrolling below to find out the full requirements for this role.– Outside IR35– Edinburgh (Hybrid) Rate: Market Duration: 12 months A Harvey Nash client is seeking a strong Python Engineer to support the build and operation of a shared AI platform focused on document processing (including extraction and transcription use cases).
You’ll work alongside two experienced AI Engineers, owning the core engineering platform that underpins model delivery.
This is a platform/software engineering role, not data science– focused on building production-grade Python services, workflow orchestration, and cloud infrastructure.
Key Responsibilities Build and maintain a shared Python platform library (config, logging, telemetry, Azure integrations, model abstractions) Develop and run Temporal-based workflows for document processing pipelines Implement and manage model-serving within Kubernetes workloads Own infrastructure-as-code (Terraform) and GitOps deployments (ArgoCD) Deploy and operate services on AKS (autoscaling, containers, service mesh) Deliver observability (Prometheus, Grafana, App Insights) and support automation Ensure data quality, validation, and integration with enterprise systems Collaborate across engineering teams and produce clear documentation Required Experience Strong production Python (typed, tested, well-structured code) Kubernetes and containerised workloads in production Terraform (or equivalent IaC) and CI/CD / GitOps pipelines Azure platform experience (AKS, Service Bus, Postgres, Key Vault, etc.) Observability tooling xwzovoh (metrics, logs, alerting) Experience supporting services end-to-end in production Familiarity working alongside AI/ML workloads (non-data science focus) Desirable or similar workflow tools LLM serving (e.g.
vLLM) or GPU workloads on Kubernetes ArgoCD, KEDA, service mesh (Istio etc.) Exposure to regulated/public sector environments Please note that you must be eligible for BPSS Clearance to commence this post.
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