Platform ML Engineer - Knowledge & Retrieval Systems

United States Digital Space LLC; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

United States Digital Space LLC in London, UK is seeking a Machine Learning Engineer to own end-to-end ML components for the Scale GP platform, spanning knowledge bases, vector stores, RAG pipelines, and context engines to empower enterprise agents.

You'll build backend services and data pipelines, collaborate with product and infrastructure teams, and deliver experiments with high quality. 5+ years in ML, strong Python, and advanced knowledge representation are preferred.

Qualifications

• 5+ years of experience building and deploying machine learning or AI systems for real-world production use cases.
• Proven ability to write production-quality, testable, maintainable Python code.
• Deep understanding of retrieval systems, RAG, embeddings, vector indexing, and knowledge representation.

Responsibilities

• Own large areas of platform end to end, driving components from design through to production deployment.
• Work on knowledge representation systems, including ontologies and knowledge graphs, to support structured reasoning over enterprise data.
• Design and implement RAG pipelines, including chunking, embedding, indexing, retrieval, and reranking.
• Build and maintain integrations between retrieval and ML components and diverse enterprise data sources, vector databases, APIs, and services.
• Develop context retrieval systems that balance recall, precision, latency, and cost.
• Build evaluation frameworks, datasets, and metrics to measure retrieval quality, context relevance, and end to end agent performance.
• Build reliable backend services and data pipelines that support ML and LLM components in production.
• Deliver experiments and new capabilities quickly, maintaining high quality and tight feedback loops with customers.
• Collaborate across product, ML, and infrastructure teams to shape the direction of the platform.

Skills

Experience in ML systems

Python programming

Engineering fundamentals

Communication skills

Education

Master’s or PhD in CS/ML

Tools

Python

Job description

United States Digital Space LLC in London, UK is seeking a Machine Learning Engineer to own end-to-end ML components for the Scale GP platform, spanning knowledge bases, vector stores, RAG pipelines, and context engines to empower enterprise agents.

You'll build backend services and data pipelines, collaborate with product and infrastructure teams, and deliver experiments with high quality. 5+ years in ML, strong Python, and advanced knowledge representation are preferred.