Senior Backend Engineer: Machine Learning Infrastructure

Constructor
United Kingdom
Workplace: RemoteFull timeUSD 80,000 - 120,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Ownership","Proactivity","Collaboration","System design thinking","Reliability mindset"]

Own and evolve core machine learning infrastructure services and data pipelines that enable model serving at scale, including LLM workloads. Design, build, and operate high-load distributed backend systems, partnering with ML and product teams to translate needs into reusable platform capabilities. Lead reliability and performance improvements end-to-end—from implementation and deployment to observability, iteration, and technical decision-making using modern, design-driven engineering practices.

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FursaFursa
Constructor
Constructor
1 day ago

Senior Backend Engineer: Machine Learning Infrastructure

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Last checked: 8 hours agoStatus: Live

Job Summary

Own and evolve core machine learning infrastructure services and data pipelines that enable model serving at scale, including LLM workloads. Design, build, and operate high-load distributed backend systems, partnering with ML and product teams to translate needs into reusable platform capabilities. Lead reliability and performance improvements end-to-end—from implementation and deployment to observability, iteration, and technical decision-making using modern, design-driven engineering practices.
Location: United Kingdom
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and operate high-load distributed backend services that power ML infrastructure.
  • •Take end-to-end ownership of core ML services and related data pipelines, from design and implementation through deployment and observability.
  • •Partner with ML and product teams to understand needs and turn them into reliable, reusable platform capabilities.
  • •Make and defend technical decisions by evaluating trade-offs and owning outcomes.
  • •Continuously improve core ML services and pipelines with a high bar for reliability and performance.

Pay and Benefits

Salary: USD 80,000 - 120,000 annually
Equity and Bonus:Equity
Perks:Paid LeaveRemote WorkLearning BudgetEquity

Key Requirements

  • •5+ years of professional experience in backend or platform engineering.
  • •Extensive Python knowledge (primary language).
  • •Hands-on experience with a public cloud (AWS, GCP, or Azure) or self-managed Kubernetes (AWS primary).
  • •Experience designing and building distributed, high-load services and APIs.
  • •Strong fundamentals in data structures and algorithms, with a design-driven engineering mindset and ownership/proactivity.
Experience:5+ yearsMachine learning infrastructureCloud engineeringDistributed systems
Skills:OwnershipProactivityCollaborationSystem design thinkingReliability mindset
Tech Stack:PythonAWSGCPAzureKubernetesDistributed systemsAPIsVector databasesQdrantMilvusWeaviateOpenSearchPgvectorTerraformLLMsRustCC++Go

Company Brief

Constructor
Provides an AI-powered site search and product discovery platform for e-commerce and retailers, improving search relevance, recommendations, personalization, and merchandising to boost conversions and average order value.
Industry: Enterprise Software
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: San Francisco, United States
WebsiteLinkedIn