MLOps Engineer at Aecom USA

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

01 Sep, 26

Salary

0.0

Posted On

03 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, Flask, Django, ML Model Deployment, Docker, CI/CD, Azure, MLflow, Weights & Biases, Prometheus, Grafana, ELK Stack, CUDA, Distributed Machine Learning, API Development

Industry

Civil Engineering

Description

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. 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. 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 As 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 Qualifications Must-Have Qualifications Bachelor’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 Skills Experience with model versioning and experiment tracking (e.g. MLflow, Weights & Biases) Understanding of optimizing both CPU-bound and GPU-bound workloads Knowledge 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 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 (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. 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 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 using this email address [email protected] if you would like to apply through the Disability Confident Interview Scheme. All your information will be kept confidential according to EEO guidelines. State/Province: London, City of Business Group: Corporate Legal Entity: AECOM Engineering Technology Services Ltd Business Line: Corporate Work Location Model: On-Site Operating Group: Corporate Primary Location: UK - London, Holbein Gardens

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Responsibilities

Own the infrastructure and delivery pipelines to ensure AI-driven products are reliable, scalable, and fast. Build and maintain ML pipelines for training, deployment, and monitoring while integrating AI into a SaaS platform.