SENIOR CLOUD ENGINEER / AI ENGINEER

FULLY REMOTE (UK or EUROPE)

1,200 Euros per Day Rate

SECUREis 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 Clients 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 /