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Machine Learning Engineer, Platform

Scale AI, City of Westminster

Machine Learning Engineer, Platform

Salary not available. View on company website.

Scale AI, City of Westminster

  • Full time
  • Permanent
  • Onsite working

Posted 2 weeks ago, 6 Jul | Get your application in now before you miss out!

Closing date: Closing date not specified

Job ref: ac3f5f1f7f89455ba5fba5b0c4efcf90

Location ref: City of Westminster

Full Job Description

  • 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.

    5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases.
  • Strong engineering fundamentals, supported by a Master's or PhD degree in Computer Science, Machine Learning, AI, or equivalent practical experience..
  • A deep, hands-on understanding of retrieval systems, RAG, embeddings, vector indexing, and knowledge representation.
  • Experience with knowledge representation, semantic search, or agentic systems.
  • Proven proficiency in Python, including writing production-quality, testable, and maintainable code.
  • Experience scaling or shipping products at high-growth startups.
  • The ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints.
  • Strong communication skills and comfort working in customer-facing or cross-functional environments.
    • PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

    At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

Direct job link

https://www.jobs24.co.uk/job/machine-learning-engineer-platform-127077746
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