Machine Learning Engineer, Platform

Machine Learning Engineer Platform

London UK

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval inference evaluation and agentic workflows. We are looking for a Machine Learning Engineer to join our team and build the retrieval and knowledge representation systems at the heart of the platform. You will own ML components end to end from research and prototyping through to production deployment working across knowledge bases vector stores RAG pipelines and context engines to power agents that deliver real impact for enterprise customers.

You will:

• 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.

Ideally youd have:

• 5 years of experience building and deploying machine learning or AI systems for real-world production use cases.
• Strong engineering fundamentals supported by a Masters 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.

About Us:

At Scale our mission is to develop reliable AI systems for the worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds 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.

We believe that everyone should be able to bring their whole selves to work which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability status gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability please contact us at Please see the United States Department of Labors Know Your Rights poster for additional information.

We comply with the United States Department of Labors Pay Transparency provision.

PLEASE NOTE: We collect retain and use personal data for our professional business purposes including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants needs provide our services and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our for additional information.