Senior Machine Learning Engineer

In AECOMs AI for 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. 

Our AI for Engineering team combines the speed ownership and technical ambition of a startup with the scale resources and domain expertise of one of the worlds leading engineering firms.

Youll work on challenging applied machine learning problems spanning optimization simulation and real-world engineering systems building models that move beyond experimentation and into products used to solve tangible infrastructure challenges. These are often complex ambiguous problems where the solution is not already defined.

What Youll Do 

• Lead the design and development of advanced machine learning models that deliver measurable impact across engineering and infrastructure applications.
• Own the end-to-end modelling lifecyclefrom problem formulation and feature strategy through experimentation validation deployment and iteration.
• Tackle complex ambiguous problems and translate them into scalable ML solutions.
• Design robust experimentation frameworks and evaluation methodologies that measure real-world model performance.
• Diagnose model failure modes evaluate performance trade-offs and continuously improve models after deployment.
• Collaborate closely with MLOps and software engineering teams to productionize models while maintaining a strong focus on modelling quality and performance.
• Partner with product managers engineers and domain experts to embed AI capabilities into our SaaS platform.
• Provide technical leadership across ML initiatives mentoring other engineers and helping shape modelling approaches experimentation standards and technical direction.

Qualifications :

Must-Have Qualifications 

• Proven experience developing and deploying ML models in production settings 
• Masters 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 
• Experience owning machine learning initiatives end-to-end from problem definition through deployment and iteration.
• 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 

• Experience applying machine learning to engineering-heavy or physical-world domains such as mechanical engineering construction transportation HVAC energy systems or robotics.
• Background in optimisation simulation scientific machine learning physics-informed learning or digital twins
• Experience with time-series forecasting computer vision sensor data or other complex engineering datasets.
• Track record of mentoring or technically leading ML initiatives.

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
  • 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 . 

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 youll 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 youve always envisioned. Here youll find a welcoming workplace built on respect collaboration and community - where you have the freedom to grow in a world of opportunity. 

As an Equal Opportunity Employer we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines. 

Remote Work :

No

Employment Type :

Full-time