ML Platform Engineer

ML Platform Engineer (Contract)

Location: London (Hybrid)
Rate: £500-£575 per day - Outside of IR35

Overview
This contract role focuses on building and operating the infrastructure that supports production machine learning systems at scale. You'll work on the platforms that allow ML and LLM-powered services to run reliably in live environments, ensuring performance, stability, and smooth deployment into existing products. This is a hands-on engineering role centred on production systems, not research or experimentation.

Responsibilities
Design and operate production ML platforms supporting live applications
Build and maintain Kubernetes-based environments for model inference and pipelines
Support language-model workloads including retrieval-based systems and model serving
Implement and maintain CI/CD pipelines for ML deployments
Monitor platform and model performance including latency, drift, and resource usage
Work closely with engineering and product teams to support delivery
Ensure systems meet reliability, security, and operational standards

Required experience
Strong Python experience in production environments
Hands-on experience running ML workloads on Kubernetes
Ownership of ML systems from deployment through monitoring and maintenance
CI/CD experience for data or ML platforms
Observability tooling experience (Prometheus, Grafana, or similar)
Cloud platform experience (AWS or Azure)

Nice to have
Experience supporting LLM-based systems in production
GPU-backed workloads or performance optimisation
Infrastructure-as-code exposure (Terraform or similar)

Interested candidates can apply or send a CV to (see below)

ML Platform Engineer (Contract)