ML Engineer – Agentic Systems for Scalable Insight

Extrac.ai; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Private Medical Health Insurance

Enhanced pension contributions

33 days of leave

Job summary

ExTrac AI in London is seeking a mid/senior level Machine Learning Engineer to lead and architect agentic systems for large-scale geopolitical analysis. You will collaborate with software engineering and product design to design, evaluate, and productionize models and workflows that scale.

The ideal candidate has hands-on experience with model serving (including small models and LLMs), agent orchestration, and retrieval systems, plus a track record delivering production ML systems in early-stage

Qualifications

• Hands-on experience with production ML systems at scale.
• Experience with model serving (small models and LLMs).
• Ability to make rigorous evaluations and benchmarking decisions.

Responsibilities

• Design systems balancing research velocity with product and production constraints.
• Shape technical decisions on model selection, training, evaluation and deployment.
• Deliver production-ready systems at scale with rigorous engineering practices.
• Take projects from exploration to reliable deployment.
• Uphold high standards for architecture, code quality, evaluation and research.

Skills

Model serving

Agent orchestration

Evaluation & benchmarking

Tools

Retrieval systems

Job description

ExTrac AI in London is seeking a mid/senior level Machine Learning Engineer to lead and architect agentic systems for large-scale geopolitical analysis. You will collaborate with software engineering and product design to design, evaluate, and productionize models and workflows that scale.

The ideal candidate has hands-on experience with model serving (including small models and LLMs), agent orchestration, and retrieval systems, plus a track record delivering production ML systems in early-stage