Senior MLOps Engineer (AI)

Location: On-site in London, United Kingdom. In-person Day 1 onboarding at an hirify.global office is required.

Company

hirify.global is a global infrastructure consulting and engineering firm using AI-driven technology to improve the design, efficiency, and sustainability of infrastructure and buildings.

What you will do

• Own and evolve production ML infrastructure for training, deployment, serving, and monitoring.
• Build CI/CD automation and model delivery workflows for the engineering team.
• Develop Python services, APIs, and platform tooling for production ML workloads.
• Own reliability, observability, performance, availability, and security across ML systems.
• Troubleshoot complex issues across software, infrastructure, and ML workflows.
• Drive architecture decisions and collaborate with ML engineers, data engineers, and product teams.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Production experience deploying, operating, monitoring, and supporting machine learning systems and ML lifecycle infrastructure.
• Strong Python skills and experience with FastAPI, Flask, or Django.
• Hands-on experience with Docker, CI/CD pipelines, and Azure cloud environments.
• Experience making architecture decisions and troubleshooting systems for reliability, scalability, and performance.
• Ability to work independently, take end-to-end ownership, provide technical leadership, and communicate effectively.

Nice to have

• Experience with Kubernetes and infrastructure as code such as Terraform.
• Experience with MLflow, Weights & Biases, or similar ML lifecycle platforms.
• Knowledge of Prometheus, Grafana, ELK, OpenTelemetry, or similar observability tools.
• Experience with distributed ML workloads, model serving, GPU infrastructure, or performance optimization.
• Background in reinforcement learning, optimization, or generative AI.

Culture & Benefits

• Work on real-world AI problems with measurable impact on the built environment.
• Collaborate in a technical culture focused on trust, ownership, high standards, and innovation.
• Benefits may include medical, dental, vision, life, disability, paid time off, retirement savings, and employee stock purchase plans.
• Access training and development programs, well-being resources, employee assistance, and flexible work options.
• Work with a global infrastructure organization on local and international projects.

Hiring process

• 25-minute screening call.
• Take-home technical challenge.
• Combined technical and cultural interview, followed by a one-hour whiteboard interview.
• 30-minute culture-fit meeting with the leadership team.