Senior ML Engineer: Build AI for Sustainable Infrastructure

AECOM; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

AECOM’s AI Engineering team is hiring a skilled ML engineer to design and deploy AI/ML models that impact engineering projects. You will own the modelling lifecycle from problem framing to production handoff, tackling complex, ambiguous problems with robust experimentation and evaluation.

Join a lean, high-ownership team within a global engineering firm, collaborating with product managers, engineers, and domain experts to embed AI capabilities into our SaaS platform and drive measurable

Qualifications

• Proven 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.
• Strong expertise in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
• 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 modelling decisions and trade-offs to diverse stakeholders.

Responsibilities

• Lead the design and development of advanced AI/ML models that deliver measurable impact in the engineering domain.
• Own the end-to-end modelling lifecycle — from problem formulation and feature strategy to validation and production handoff.
• Tackle complex, ambiguous problems and translate them into scalable ML solutions.
• Design robust experimentation frameworks and define evaluation methodologies that ensure real-world performance.
• Collaborate with MLOps to productionize models while focusing on modelling excellence and performance optimization.
• Partner with product managers, engineers, and domain experts to embed AI capabilities into our SaaS platform.

Skills

ML model deployment

Python

ML frameworks

Model evaluation

Communication

Education

Master’s or PhD in Engineering, Computer Science, Applied Mathematics, Data Science, Operations Research

Tools

PyTorch

TensorFlow

scikit-learn

ML Ops

Job description

AECOM’s AI Engineering team is hiring a skilled ML engineer to design and deploy AI/ML models that impact engineering projects. You will own the modelling lifecycle from problem framing to production handoff, tackling complex, ambiguous problems with robust experimentation and evaluation.

Join a lean, high-ownership team within a global engineering firm, collaborating with product managers, engineers, and domain experts to embed AI capabilities into our SaaS platform and drive measurable