Senior MLOps Engineer

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 at AECOM. We 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 Do

As 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 collaborative mindset

Preferred Skills

• Experience with Kubernetes and infrastructure as code, such as Terraform
• Experience with ML lifecycle tooling such as MLflow, Weights & Biases, or similar platforms
• Knowledge of monitoring and observability tools such as Prometheus, Grafana, ELK, or OpenTelemetry
• Experience with distributed ML workloads, model serving, GPU infrastructure, or performance optimization
• Background in reinforcement learning, optimization, or generative AI

Additional Information

Our Hiring Process

• 25-minute screening call
• Take-home challenge: A hands-on task to assess your problem-solving and technical skills
• Combined technical and cultural interview (in-person)
  • Whiteboard Interview: 1-hour with 2 of our engineers to discuss your solution to the take-home challenge
  • Culture fit: 30-minute meeting with our leadership team

Why Join Us?

• Work on real-world problems where AI creates measurable impact.
• Be part of a team where your work matters, and your ideas become real.
• Collaborate with sharp, driven colleagues in a culture of trust, ownership, and high standards.
• Contribute to making the built environment smarter and more sustainable.

At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.

About AECOM

AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.

AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle — from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.

What makes AECOM a great place to work 

You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects—both in your local community and on a global scale—that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community—where you have the freedom to grow in a world of opportunity. 

We are a Disability Confident Employer and will offer an interview to applicants who have a disability or long-term condition, who meet the minimum/essential criteria for the role. Please let us know using this email address [email protected]  if you would like to apply through the Disability Confident Interview Scheme.

All your information will be kept confidential according to EEO guidelines.