In AECOM’s AI for Engineering team your code will directly shape the physical world around us. We build AI-driven technology that revolutionises how infrastructure and buildings are designed and engineered, reducing waste, cutting CO₂, and making the built environment more efficient and sustainable. This is where software has measurable, real-world impact.
Our AI for Engineering team has a unique setup: a lean, highly technical team with the speed and ownership of a start-up, backed by the scale, resources, and domain expertise of one of the world’s leading engineering firms.
There has never been a better time to be at AECOM. We are leading the industry’s AI transformation, and with our people and technology we deliver excellence and innovate with impact.
What You’ll Do
As Lead MLOps Engineer, you will be the technical lead for how machine learning moves from experimentation into reliable, scalable production across AI for Engineering. This is a senior, hands-on role. You will own the MLOps technical direction and platform roadmap, raise the bar for engineering practice across the team, and build the most critical parts of the stack yourself. You will be the go-to technical authority for production ML infrastructure and a trusted partner to engineering leadership.
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