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. What You'll DoAs part of our AI Engineering team, you will own the infrastructure and delivery pipelines that keep our AI-driven products reliable, scalable, and fast. This is a high-ownership role where your decisions directly affect developer velocity and production stability. Build and maintain robust ML pipelines for training, deployment, and monitoring Develop backend systems and APIs that integrate AI into our SaaS platform Take ownership of the ML performance, monitoring, availability, and security Collaborate with ML engineers, data engineers, and product teams to deliver features end-to-end Contribute to architecture decisions for scalable, cloud-native ML infrastructure Stay up to date with the latest in MLOps practices and tools, and bring improvements into the workflow QualificationsMust-Have QualificationsBachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience) Solid programming skills in Python (plus experience with web libraries like FastAPI, Flask, or Django) Hands-on experience with ML model deployment and monitoring in production Knowledge of containerization (Docker) Experience with CI/CD pipelines and cloud environments (we use Azure) Strong communication skills and a collaborative mindset Preferred SkillsExperience with model versioning and experiment tracking (e.g. MLflow, Weights & Biases) Understanding of optimizing both CPU-bound and GPU-bound workloadsKnowledge of monitoring and observability tools (e.g. Prometheus, Grafana, ELK stack) Background in optimization, reinforcement learning, or generative AI (a plus, not required) Identifying and resolving bottlenecks in distributed machine learning workloads (knowledge of low-level languages and CUDA library is a plus) Additional InformationOur Hiring Process25-minute screening callTake-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.
Aws Engineer, DevOps, Machine Learning 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.
