MLOps Engineer

AECO; Greater London; On-site; GBP 85,000 - 120,000; Full time

Job summary

AECOM’s AI Engineering team is hiring to shape the next generation of AI driven infrastructure software in a fast‑moving, high‑ownership environment. You will own the delivery pipelines and backend systems that keep AI products reliable, scalable and secure, with real world impact on infrastructure projects.

You will collaborate with ML engineers, data engineers and product teams to deliver end‑to‑end features, optimize performance, and drive MLOps best practices in Azure cloud on‑premise and

Qualifications

• Degree in CS/Engineering or equivalent experience.
• Strong Python coding skills and experience with web libraries (FastAPI, Flask, or Django).
• Hands‑on ML model deployment and monitoring in production.
• Experience with containerization (Docker) and CI/CD.
• Familiarity with Azure cloud environments and deployments.
• Excellent communication and collaboration skills.

Responsibilities

• Own infrastructure and delivery pipelines for AI‑driven products.
• Build and maintain robust ML pipelines for training, deployment, and monitoring.
• Develop backend systems and APIs to integrate AI into our SaaS platform.
• Ensure ML performance, monitoring, availability, and security.
• Collaborate with ML/data engineers and product teams to deliver features end‑to‑end.
• Contribute to scalable, cloud‑native ML infrastructure decisions.

Skills

Python

ML Pipelines

Docker

CI/CD

Azure

Web Frameworks (FastAPI/Flask/Django)

Communication

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

Docker

CI/CD tools

Cloud environments

Job description

• Legal Entity: AECOM Engineering Technology Services Ltd
• Business Line: Corporate
• Work Location Model: On‑Site
• Operating Group: Corporate

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 productionKnowledge 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

• 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.

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, employeeassistanceprogram, 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 AFortune 500firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com

What makes AECOMa great placeto work

You will be part of aglobalteam 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. Withcutting-edgetechnology and a network of experts,you’llhave the resources to make a real impact. Our award‑winning training and development programs are designed to expand yourtechnicalexpertiseand leadership skills, helping you build the careeryou’vealways envisioned. Here,you’llfind a welcoming workplace built on respect,collaborationand community—where you have the freedom to grow in a world of opportunity.

We are aDisabilityConfidentEmployer 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 [e-mail] if you would like to apply through theDisabilityConfidentInterview Scheme.

All your information will be kept confidential according to EEO guidelines.