Senior MLOps Engineer

Company Description Work with Us. Change the World.

At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.

There has never been a better time to be h accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.

We're one global team driven by our common purpose to deliver a better world. Join us.

Job Description In AECOM’s AI 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.

With our AI Engineering team we’ve created 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  are leading the industry’s AI transformation, and with our people and technology we deliver excellence and innovate with impact.

We invite you to bring your bold ideas and big dreams to solve the world’s most complex challenges. We're one global team driven by our common purpose to deliver a better world. Join us.

What You’ll DoAs part of our AI Engineering team, you will serve as a senior individual contributor, owning the infrastructure and delivery workflows that move machine learning from experimentation into reliable production systems. This is a high-ownership role where you will influence technical direction, architecture, developer velocity, and production stability.

Own and evolve production ML infrastructure for training, deployment, serving, and monitoring

Build and improve CI/CD, automation, and model delivery workflows used across the engineering team Develop Python services, APIs, and platform tooling that support production ML workloads

Own reliability, observability, performance, availability, and security across production ML systems

Troubleshoot complex production issues across software, infrastructure, and ML workflows

Drive architecture decisions and partner with ML engineers, data engineers, and product teams to deliver scalable AI products

Qualifications

Must-Have Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience)
Demonstrated experience deploying, operating, monitoring, and supporting machine learning systems in production

Experience building and owning ML pipelines, model deployment, serving, monitoring, or lifecycle infrastructure

Solid programming skills in Python, plus experience with web libraries such as FastAPI, Flask, or Django Hands-on experience with containerization (Docker), CI/CD pipelines, and cloud environments (we use Azure)
Experience making architecture decisions and troubleshooting complex production systems for reliability, scalability, and performance

Ability to operate independently, take end-to-end ownership, and provide technical leadership within a highly collaborative engineering team Strong communication skills and a…