Machine Learning Engineer, Platform (RAG)

Location: London, UK

Company

hirify.global develops reliable AI systems, high-quality data, and full-stack technologies for enterprise and government applications.

What you will do

• Own major platform components from architecture and experimentation through production deployment.
• Develop knowledge representation systems, including ontologies and knowledge graphs, for structured reasoning over enterprise data.
• Design RAG pipelines covering chunking, embeddings, indexing, retrieval, and reranking.
• Build integrations with enterprise data sources, vector databases, APIs, and ML services.
• Develop context retrieval systems and evaluation frameworks for retrieval quality, context relevance, and agent performance.
• Build reliable backend services and data pipelines while collaborating with product, ML, infrastructure, and customer-facing teams.

Requirements

• 5+ years of experience building and deploying machine learning or AI systems in production.
• Strong engineering fundamentals and a Master’s or PhD in Computer Science, Machine Learning, AI, or equivalent practical experience.
• Hands-on expertise in retrieval systems, RAG, embeddings, vector indexing, and knowledge representation.
• Experience with semantic search, knowledge representation, or agentic systems.
• Production-quality Python development, including testable and maintainable code.
• Ability to work through ambiguous problems, balance research with product constraints, and communicate across teams.

Nice to have

• Experience scaling or shipping products at high-growth startups.
• Experience working in customer-facing or cross-functional environments.

Culture & Benefits

• Work on enterprise-grade Generative AI infrastructure for real-world applications.
• Collaborate closely with industry leaders, enterprises, and government organizations.
• Inclusive and equal-opportunity workplace with reasonable accommodations available during the hiring process.
• Research-driven work combined with rapid experimentation and tight customer feedback loops.

Hiring process

• Candidates may be reconsidered for the same role after a 90-day waiting period.
• The evaluation process is designed to provide a fair and thorough assessment.