Senior ML Engineer: LLMs & Production Systems

Oscar Technology; Greater London; On-site; GBP 95,000 - 120,000; Full time

Job summary

Oscar Technology in London is seeking a Machine Learning Engineer to join a production ML stack, building LLM-powered features and robust evaluation systems for financial data workflows. You’ll design, implement and monitor automated pipelines that analysts rely on to extract insights from complex documents.

You’ll own the ML layer from prototype through production, work in Python, and collaborate with a UK core team to ship reliable, scalable services in a regulated multi-tenant SaaS

Qualifications

• 5+ years in machine learning or software engineering with production ML experience.
• Hands-on experience shipping LLM-based or NLP systems to real users, including RAG, agents and tool use.
• Rigorous evaluation: define what good means, build test sets and measure it.
• Strong grounding in ML stack: PyTorch, scikit-learn, Hugging Face and vector databases.
• Experience deploying and monitoring models on cloud infrastructure, ideally AWS, with Git, CI/CD and containerisation.

Responsibilities

• Design, build and ship LLM-powered features and multi-step agent workflows in Python, from prototype to production.
• Build document intelligence pipelines to extract and reason over financial documents.
• Develop retrieval-augmented generation systems with traceability to sources.
• Create evaluation frameworks and datasets with automated tests and human review loops.

Skills

Production ML experience

Strong Python

LLM/NLP systems

Model evaluation

Cloud infrastructure (AWS)

Education

CS/Engineering/Math degree

Postgraduate degree valued

Tools

PyTorch

scikit-learn

Hugging Face

Vector databases

Git

CI/CD

Containerisation

AWS

Job description

Oscar Technology in London is seeking a Machine Learning Engineer to join a production ML stack, building LLM-powered features and robust evaluation systems for financial data workflows. You’ll design, implement and monitor automated pipelines that analysts rely on to extract insights from complex documents.

You’ll own the ML layer from prototype through production, work in Python, and collaborate with a UK core team to ship reliable, scalable services in a regulated multi-tenant SaaS