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 /

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