Senior ML Engineer - Production-Scale Geopolitical AI

ExTrac AI; Greater London; On-site; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Private Medical Insurance

Enhanced pension contributions

Enhanced parental leave

Workplace nursery scheme

Education budget £500/year

33 days leave

Flexible working

Job summary

ExTrac AI in London is seeking a senior ML engineer to design and deploy scalable, production-grade AI systems. You will partner with software engineers and product design to translate research into reliable features.

The role spans from prototype to production, setting technical standards, mentoring others, and taking ownership of end-to-end delivery in a fast‑moving startup environment.

Qualifications

• Production-scale experience where research informs production systems.
• Hands-on experience with model serving (small models and LLMs) and agent orchestration.
• Strong evaluation and benchmarking discipline.
• Solid software engineering fundamentals: writing clean, maintainable code and robust systems.
• Comfort operating in a fast-paced environment with clear ownership.
• Experience with modern coding agents and thoughtful workflows.

Responsibilities

• Design systems balancing research velocity with product and production constraints.
• Make technical decisions on model selection, training approaches, evaluation and deployment.
• Deliver production-ready systems at scale, blending research rigour with pragmatic engineering.
• Take projects from early exploration through to reliable deployment.
• Uphold high standards for architecture, code quality, evaluation and research practice.

Skills

Production-scale systems

Model serving (LLMs)

Evaluation & benchmarking

Software engineering fundamentals

Fast-paced / ownership

Coding agents & workflows

Job description

ExTrac AI in London is seeking a senior ML engineer to design and deploy scalable, production-grade AI systems. You will partner with software engineers and product design to translate research into reliable features.

The role spans from prototype to production, setting technical standards, mentoring others, and taking ownership of end-to-end delivery in a fast‑moving startup environment.