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# Senior Backend Engineer: Machine Learning Infrastructure

- **Company:** Constructor
- **Location:** UK (Remote available)
- **Experience:** Expert
- **Salary:** £80,000.0 - £120,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Databases, Data Structures, Python (Programming Language), Machine Learning, Azure Machine Learning, Large Language Models, Backend, Kubernetes, Machine Learning Operations, Terraform
- **Published:** August 11, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5834872538

## About the Role

* 5+ years of professional experience in backend or platform engineering
 * Extensive Python knowledge (our primary language)
 * Hands-on experience developing on a public cloud (AWS, GCP, or Azure) or with self-managed Kubernetes - AWS is our primary platform, but we're not limited to it
 * Experience designing and building distributed, high-load services and APIs
 * Strong knowledge of data structures, algorithms, and their trade-offs
 * Design-driven engineering mindset: we're a coding-assistant-friendly environment and expect you to use modern AI tools - but you lead with system design and a strong understanding of their applicability and trade-offs
 * Ownership and proactivity: you can't close your eyes to problems, but are ready to solve them and take responsibility for outcomes
 * You are friendly and willing to help your teammates & others

 * Experience with Rust (or C/C++/Go) - a strong plus
 * Experience developing or contributing to ML platforms or ML infrastructure - a strong plus
 * Experience setting up and operating any vector database (Qdrant, Milvus, Weaviate, OpenSearch, pgvector, etc.) - a strong plus
 * Experience with model serving / inference infrastructure, including LLMs
 * Experience with Infrastructure as Code (Terraform or similar)

## Description

* Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities
 * Make and defend technical decisions: evaluate trade-offs, design first, and own the outcome
 * Be responsible for what you and your team do


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