Senior MLOps Engineer

As a ML (Machine Learning) Ops Engineer at  in the ML Platform team, you will contribute to the development of scalable systems that power real‑time fraud detection and payment optimization. This is your opportunity to grow alongside top‑tier engineers while making a tangible impact on millions of transactions globally.

The solutions that you will be building will power our stack of value‑added services in the Payments Performance area. We’re a growing team in an expanding area within the company and we’re looking for individuals who have strong ownership, are passionate about product ionising ML and have a pragmatic approach to converting big problems into smaller iterations to constantly deliver value.

• Build systems for training, deploying and monitoring machine learning models used in our payments platform, at scale
• Scale our feature store to more and increasingly complex use‑cases both online and offline
• Deliver end‑to‑end features with full ownership under mentorship of talented engineers

• 5+ years of experience as MLOps /ML Engineer
• High proficiency in writing clear, production‑ready Python code
• Experience with production ML models (online or offline) and standard MLOps practices
• Experience with monitoring and observability of production systems, with a strong sense of ownership
• Familiarity in Cloud‑based application development (we use AWS)
• Familiarity with one or more ML frameworks and technologies: scikit‑learn, xgboost, Tensor Flow, PyTorch, Spark, Databricks, Sage Maker, Vertex AI, Kubeflow, Seldon, Triton
• Strong communication skills, able to express ideas clearly and collaborate across teams
• Growth mindset, always on the lookout for stretch challenges
• Curiosity to tackle open‑ended problems and learn from failures