Senior Machine Learning Engineer

Senior Machine Learning Engineer

• AI/ML & Real-Time Data
• Global leader in tech industry
• Cutting-edge tech stack

My client, a global leader in the tech industry with a strong international presence, is expanding its Dublin HQ and is looking for a Senior Machine Learning Engineer to join their high-performing team. In this impactful role, you'll be at the heart of designing and delivering cutting-edge AI and ML data products, with a strong focus on IoT and real-time data processing. You’ll play a key role in building scalable data pipelines from the ground up to support next-gen of AI solutions, including LLMs and other advanced technologies aimed at driving innovation in industrial applications.

You'll be working with a modern, cloud tech stack that includes Python, Spark, and Databricks for pipeline development, alongside Azure and GCP for building and managing large-scale data lakes. This is a highly collaborative, forward-thinking environment where your contributions will directly influence the technical direction and success of global initiatives.

As the team continues to grow, you’ll have a clearly defined path for career progression into leadership roles such as Lead, Principal, Architect, and Senior Management. The role is based in Dublin City Centre with a hybrid working model, three days a week in the office (Dublin City Centre) and two from home.

Opportunity:

• Build scalable pipelines for AI, LLMs & real-time IoT data
• Modern tech stack: Python, Spark, Databricks, Azure, GCP
• Join a high-impact global data team
• Influence cutting-edge industrial AI solutions
• Fast-track to Lead, Principal, or Architect roles
• Strong backing for innovation and technical ownership

Experience Required:

• Must currently be a Senior Data or ML Engineer (5-10 years of experience)
• Experience building data pipelines within AI / ML environment
• Must have experience with PySpark

Salary:

€80,000 - €100,000 + Healthcare + Pension + 25 Days of AL + Hybrid role and MORE!

For more information, contact Tara van Vuuren confidentially on +353 1649 8516 or email your CV to [email protected] .