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- Tasks: Lead the design and development of AI/ML models that make a real-world impact.
- Company: Join AECOM, a global leader in infrastructure consulting.
- Benefits: Comprehensive benefits, flexible work options, and career growth opportunities.
- Other info: Collaborative culture with a focus on innovation and sustainability.
- Why this job: Work on groundbreaking projects that shape the future and improve communities.
- Qualifications: Experience in ML model development and strong Python skills required.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Company Description
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 at AECOM. With 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.
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.
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.
What You’ll Do
- Lead the design and development of advanced AI/ML models that deliver measurable impact in the engineering domain.
- Own the end-to-end modeling 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 with ML Ops to productionize models while focusing on modeling excellence and performance optimization.
- Partner with product managers, engineers, and domain experts to embed AI capabilities into our SaaS platform.
Qualifications
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, 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 modeling 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.
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.
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 if you would like to apply through the Disability Confident Interview Scheme. All your information will be kept confidential according to EEO guidelines.
Senior Machine Learning Engineer in London employer: AECO
Contact Detail:
AECO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at AECOM on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing a role in the AI Engineering team.
✨Tip Number 2
Prepare for that technical interview! Brush up on your Python skills and be ready to discuss your past ML projects in detail. We want to see how you tackle complex problems, so practice explaining your thought process clearly.
✨Tip Number 3
Show off your passion for AI and engineering! When you get the chance, share your bold ideas and how you envision using AI to create a positive impact. We love candidates who think outside the box and are excited about innovation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our mission to deliver a better world.
We think you need these skills to ace Senior Machine Learning Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how your bold ideas can contribute to our mission of delivering a better world.
Tailor Your Experience: Make sure to highlight your relevant experience in developing and deploying ML models. We love seeing specific examples of how you've tackled complex problems and delivered impactful solutions in your previous roles.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your skills and experiences, especially when discussing technical concepts. We appreciate clarity as much as complexity!
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity with AECOM.
How to prepare for a job interview at AECO
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with developing and deploying machine learning models in detail. Be prepared to explain the end-to-end lifecycle of a model, from problem formulation to production handoff, as this will show your depth of knowledge and practical experience.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle complex and ambiguous problems. Practice articulating how you would approach these challenges and translate them into scalable ML solutions. This will demonstrate your critical thinking and ability to innovate under pressure.
✨Communicate Clearly with Stakeholders
Since you'll need to explain complex modelling decisions to diverse stakeholders, practice simplifying technical jargon into layman's terms. This skill is crucial for ensuring everyone understands the implications of your work and fosters collaboration within the team.
✨Prepare for Technical Challenges
Expect a take-home challenge and a whiteboard interview where you'll need to demonstrate your technical skills. Brush up on your coding abilities in Python and familiarise yourself with modern ML frameworks like PyTorch or TensorFlow, as well as optimisation techniques relevant to engineering-heavy domains.