AI Data Engineer – Azure AI | Nvidia Stack | Data Curation
📍 Location: Remote / Hybrid (Northern Ireland)
💻 Work Style: Flexible
Join a Cutting-Edge AI Team Focused on Data Curation & Model Optimisation
Are you passionate about AI, data curation, and model optimisation? Do you have the expertise to prepare and structure high-quality data for AI-driven solutions?
My client is expanding their AI capabilities and seeking an AI Data Engineer who specialises in curating and preparing data for machine learning models. This is not a research-heavy role in designing LLMs but rather a hands-on engineering role, focusing on the quality, structure, and preparation of data that fuels AI systems.
With a strong technical stack including Azure AI and Nvidia, this is a unique opportunity to work at the forefront of AI-driven data solutions.
What You’ll Be Doing:
✔️ Curating & structuring data to improve AI/ML model performance
✔️ Managing and optimising datasets for AI training and inference
✔️ Working with Azure AI & Nvidia to build scalable data pipelines
✔️ Collaborating with AI Engineers & Data Scientists to refine datasets for optimal model accuracy
✔️ Ensuring high-quality, well-structured data is available for AI-driven applications
What You’ll Bring:
🔹 Expertise in Data Curation & AI – Strong experience in structuring, labelling, and preparing datasets for AI models
🔹 Hands-on experience with Azure AI & Nvidia stack – Understanding of cloud-based AI infrastructure
🔹 Data Engineering background – Skilled in working with large-scale datasets, ETL pipelines, and data transformation
🔹 Understanding of AI/ML models – While not designing LLMs, you’ll need a solid grasp of how AI models consume and rely on data
🔹 Collaborative & Problem-Solving Mindset – Ability to work alongside AI teams to improve model efficiency through better data management
Why You’ll Love This Role:
💰 Competitive Salary + Bonus Potential
📈 Growth & Learning – Work with leading AI technologies in an emerging field
🏡 Flexible Work Model – Remote-first with hybrid options available
🎯 Make an Impact – Directly contribute to cutting-edge AI solutions
How to Apply
📩 Interested? Reach out to Ryan Quinn on LinkedIn for a confidential chat.
📎 Or apply via the link below.
🚀 Join a team at the forefront of AI and make an impact with high-quality data!