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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 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.