MLOps Engineer

Salary: £60,000 - 100,000 per year

Requirements:

• We require a Bachelors or Masters degree in Computer Science, Engineering, or a related field, or equivalent experience.
• We require solid programming skills in Python, plus experience with web libraries such as FastAPI, Flask, or Django.
• We require hands-on experience with ML model deployment and monitoring in production.
• We require knowledge of containerization, including Docker.
• We require experience with CI/CD pipelines and cloud environments; we use Azure.
• We require strong communication skills and a collaborative mindset.
• Preferred: experience with model versioning and experiment tracking, such as MLflow or Weights & Biases.
• Preferred: understanding of optimizing both CPU-bound and GPU-bound workloads.
• Preferred: knowledge of monitoring and observability tools such as Prometheus, Grafana, or the ELK stack.
• Preferred: background in optimization, reinforcement learning, or generative AI.
• Preferred: experience identifying and resolving bottlenecks in distributed machine learning workloads; knowledge of low-level languages and the CUDA library is a plus.

Responsibilities:

• We own the infrastructure and delivery pipelines that keep our AI-driven products reliable, scalable, and fast.
• We build and maintain robust ML pipelines for training, deployment, and monitoring.
• We develop backend systems and APIs that integrate AI into our SaaS platform.
• We take ownership of ML performance, monitoring, availability, and security.
• We collaborate with ML engineers, data engineers, and product teams to deliver features end to end.
• We contribute to architecture decisions for scalable, cloud-native ML infrastructure.
• We stay up to date with the latest MLOps practices and tools and bring improvements into the workflow.

Technologies:

• AI
• Azure
• Backend
• CI/CD
• Cloud
• CUDA
• Django
• Docker
• ELK
• FastAPI
• Flask
• Grafana
• Machine Learning
• MLflow
• MLOps
• Prometheus
• Python
• Security
• Web
• Support
• Network

More:

We are AECOM, a global infrastructure consulting firm and one of the worlds leading engineering companies. Our AI Engineering team builds AI-driven technology that helps design and engineer infrastructure and buildings more efficiently and sustainably, reducing waste and cutting CO₂. We offer the speed and ownership of a lean, highly technical startup-like team, backed by the scale, resources, and domain expertise of a global organisation. We provide comprehensive benefits depending on employment status, which may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leave options, flexible work options, well-being resources, employee assistance, business travel insurance, service recognition awards, retirement savings, and an employee stock purchase plan. We are committed to growth, collaboration, and delivering projects that create a positive impact around the world.

last updated 37 week of 2026