Reuters Technology builds and runs the systems behind one of the world's largest and most trusted news organisations. Among them is a specialist machine-learning platform that screens and classifies media content at scale. In production since 2019, running every day, and now moving quickly from classical machine-learning models toward large-language-model and generative-AI pipelines on AWS.
First and foremost, we're looking for an outstanding AI/ML engineer to take technical ownership of this platform. You'll spend most of your time in the models and the code - designing, building, evaluating and shipping - and you'll set the technical direction for where the platform goes next.
It's also a role with scope to lead. You'll be the anchor for a small team and you'll be the technical point of contact for the platform's stakeholders, including a US-based partner Thomson Reuters business. We'd equally welcome a senior or staff engineer ready to grow into that and an engineering lead who has stayed genuinely close to the code.
,,About the Role :
Build and own the platform (hands-on)
— the core of the role
- Take end-to-end technical ownership of our media-screening platform, both its classical ML models and its newer LLM/GenAI pipelines, running in production on AWS.
- Spend most of your time hands-on: design, build, evaluate and ship models and the services around them.
- Drive the migration from classical ML toward LLM and generative-AI approaches, deciding pragmatically where up-to-date techniques earn their place and where proven models should stay.
- Own reliability, cost, quality and MLOps discipline for a system that runs in production every day.
Set direction and lead
- Set the technical direction, standards and roadmap for the platform, and make the calls on architecture and approach.
- Be accountable for delivery — planning, prioritisation, and keeping a daily-production system healthy.
Represent and partner
- Be the technical point of contact for the platform's