Senior Software Engineer in London

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. 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 a Senior Software Engineer, you’ll work at the intersection of software engineering and machine learning operations. We’re hiring multiple engineers with complementary strengths across platform engineering and ML systems. No single person is expected to cover everything. Depth in one area, strong fundamentals, and the ability to collaborate effectively matter more than perfect overlap.

Part of the work focuses on core platform engineering: designing and building services, evolving system architecture, improving reliability, resolving issues, and making sound trade-offs in areas such as database design and schema evolution. Another part focuses on ML systems: ensuring models run reliably, efficiently, and at scale, turning research into production-ready tools. This includes deploying, monitoring, and optimizing AI workloads using Python and solid software engineering practices.

Qualifications

Must-Have Qualifications

• Proven and demonstrable hands‑on experience developing and deploying ML models in production settings
• Master’s or PhD in Engineering, Computer Science, Applied Mathematics, Data Science, Operations Research, or a related field
• Demonstrated depth in model design, optimization, and evaluation beyond standard off‑the‑shelf approaches
• Strong intuition for model failure modes, generalization, and real‑world performance trade‑offs
• Proven ability to independently scope, execute, and deliver high‑impact ML initiatives
• Clear communicator who can explain complex modeling decisions and trade‑offs to diverse stakeholders

Preferred Skills

• Understanding of optimizing both CPU‑bound and GPU‑bound workloads.
• Knowledge of monitoring and observability tools (e.g. Prometheus, Grafana, ELK stack).
• Experience with Infrastructure as Code (Terraform).
• Experience with Azure.
• Identifying and resolving bottlenecks in distributed machine learning workloads (knowledge of low‑level languages and CUDA library is a plus).
• Experience in building design automation products within the construction industry.

Additional Information

Our Hiring Process

• 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.

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.

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 Reasonable if you would like to apply through the Disability‑Confident Interview Scheme. All your information will be kept confidential according to EEO guidelines.