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. 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. Job DescriptionIn 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. There has never been a better time to be at AECOM. We are leading the industry's AI transformation, and with our people and technology we deliver excellence and innovate with impact. 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 closely 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 QualificationsMust-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 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 Additional InformationOur Hiring Process 25-minute screening call Take-home challenge: Work on real-world problems where AI creates measurable impact. 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. 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. 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. 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. com if you would like to apply through the Disability Confident Interview Scheme.
Senior Machine Learning Engineer (M/F/D) in London employer: AECOM
At AECOM, we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through our extensive career development opportunities, flexible hybrid working model, and a culture that values diversity and inclusion. Join us in the South East, where you can make a meaningful impact on transport planning while enjoying a range of personalised benefits tailored to support your well-being and professional aspirations.
