SENIOR CLOUD ENGINEER / AI ENGINEER FULLY REMOTE ( UK or EUROPE ) 1,200 Euros per Day Rate SECURE is working with a major AI & Cloud Solutions Partner to build out their European Professional Services Team. We are looking for a highly experienced Senior AI Engineer for an initial 6 Month Contract, starting ASAP. This isn't a role for someone who just wants to build toy models in a sandbox. Youll be taking ownership of complex, Enterprise - Level AI Transformations getting Hands-On with the Engineering required to move Theoretical Models into robust, Production-Grade ML systems. Role Overview: You will be stepping in as the Technical Lead for Large - Scale Enterprise Client s across Europe. You'll advise stakeholders on complex AI Implementations & Design the Data Pipelines that actually make Generative AI & Deep Learning Frameworks work in the real world. Note : This is a Europe-Based role. You Must be Fluent in English. Bonus Points for those that speak both English & Spanish to work directly with Local Stakeholders. Who Should Apply: The ML Ops Veteran: Excellent Hands-On Experience building Distributed Machine Learning Pipelines & Production ML Systems at an Enterprise Scale. The Client-Facing Engineer: You're just as comfortable explaining complex ML Architectures to a Non-Technical executive in Spanish as you are writing Python. Skills & Experience: AI & ML Ops: Deep, Hands-On Experience with Vertex AI, ML Ops, AI for Document Processing, Gen AI & ADK. Coding: Real Proficiency in one or more of these Languages: Python, Perl, C, C++ or Java. Consulting: Strong Background in Technical Client Service or Consulting. You need to know how to Advise, not just Code. What Makes You Stand Out ( Preferred Qualifications ) : 5 Years Minimum Experience building Recommendation Engines, Data Pipelines or Distributed Machine Learning Strong Understanding of what it actually takes to run ML Systems in Production Hands-On Experience with Deep Learning Frameworks (TensorFlow, PyTorch, XGBoost) Deep Knowledge of Data Warehousing, ETL / ELT Architectures & Heavy Analytic Environments (Apache Beam, Hadoop, Spark, Hive) Responsibilities: Leading Customer-Facing AI Deployments across Europe, from the Initial Consulting Phase right through to the Live Implementation of Production ML Systems Architecting & Optimising Scalable Data Pipelines, ETL/ELT Solutions & Distributed ML Environments (using Hadoop, Spark & Apache Beam). Deploying Recommendation Engines & Deep Learning Models (TensorFlow, PyTorch) to solve specific Client Problems. Running Technical Design Sessions, Tailoring ML Ops Architectures using Vertex AI & Gen AI. Writing Automation-Focused Code needed to Streamline Document Processing AI and keep the analytic environment highly reliable. Searches: ML Engineer / AI Engineer / Cloud Engineer / Machine Learning / Cloud AI / Google Cloud / GCP / Vertex AI / MLOps / ML Ops / AIOPs / AI Ops /