Senior Data Scientist (AI Engineering Focus)

What’s In It For You

Salary: €95k–€100k base + full enterprise benefits

Ownership: Lead delivery of meaningful AI features from modelling through to deployment

Autonomy: High-trust environment where you’re expected to run your initiatives

Technical Exposure: NLP, generative AI and emerging agentic systems in production

Impact: AI embedded directly into a live enterprise platform at scale

Growth: Clear pathway toward broader architectural responsibility over time

The Role

You’ll join a dedicated AI team building production-grade systems into an established enterprise platform. This is a hands-on AI engineering role.

You’ll:

• Build, train and deploy advanced NLP models and AI agents
• Evaluate models using statistical and qualitative techniques
• Create repeatable data pipelines (extract, clean, transform)
• Integrate AI workflows into production systems
• Contribute to reproducible, testable and responsible AI standards
• Lead individual initiatives involving multiple stakeholders

You won’t just experiment, you’ll ship.

What You’ll Likely Bring

• 4+ years delivering AI/ML products
• Strong Python and modern ML framework experience
• Experience in NLP, deep learning, generative AI and/or agentic systems
• Solid theoretical grounding in model optimisation
• Comfortable working cross-functionally

About the Company

This is a globally established enterprise software company operating at serious scale across international markets. Their platform is commercially mature, widely adopted by large organisations, and continues to expand globally.

The Dublin team forms part of a strategic AI investment area within the business. Rather than building in isolation, the AI group works directly on production systems embedded into a live product used at scale.

It’s the combination of enterprise stability and genuine AI ambition, well-funded, technically strong, and still evolving.

If this feels like the right next step, hit apply I'll be happy to walk you through the details.