Senior Machine Learning Engineer

• Legal Entity: AECOM Engineering Technology Services Ltd
• Business Line:
  Corporate
• Work Location Model:
  On-Site
• Operating Group:
  Corporate

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.

In AECOM’s AI Engineering team your code will directly shape the physical world around us. We build AI-driven technology thatrevolutioniseshow 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 Engineeringteamwe’ve created a unique setup: a lean, highly technical team with the speed and ownership of astart 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 Do

• Leadthe design and development of advanced AI/ML models that deliver measurable impact in the engineering domain
• Ownthe 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 closely withMLOpsto product ionize 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

Must-Have 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, Tensor Flow, 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

Preferred Skills

• Background in optimization, simulation, or physics-informed ML
• Experience applying ML in engineering-heavy domains (civil, HVAC, mechanical, energy systems)
• Track record of mentoring or technically leading ML initiatives

Our Hiring Process

• Take-home challenge: A hands-on task to assess your problem-solving and…