MLOps Engineer

Become part of a dynamic team setting new standards in intelligence services, data and AI technologies. Take machine learning out of notebooks and into real‑world production environments. In this role, you’ll own the end‑to‑end ML lifecycle, working with data scientists, software engineers and platform teams to ensure models are deployed reliably, monitored effectively and scaled with confidence.
If you enjoy building robust pipelines, automating the messy parts of ML delivery, and shaping best practice across a growing data function, this is a strong opportunity to make a tangible impact.

What you’ll be doing;

• Design, build and maintain scalable ML pipelines that automate training, testing, deployment and monitoring.
• Work closely with data scientists to productionise models-ensuring they’re secure, reliable and ready for real‑world load.
• Develop and maintain CI/CD workflows that support rapid iteration, versioning and safe depl...