Machine Learning Engineer

Machine Learning Engineer

12 Month Initial Contract | Hybrid | 2 Days Onsite

We're looking for an experienced Machine Learning Engineer to design, build, and deploy production-ready machine learning and AI solutions across data science, analytics, and intelligent applications.

This is a hands-on, high-impact engineering role for someone who can take ownership of AI/ML initiatives end-to-end from solution design and experimentation through to deployment, optimisation, and ongoing improvement.

You'll work closely with data, technology, product, and business teams to translate complex data and AI challenges into scalable, secure, and commercially valuable solutions.

What You'll Be Doing

Design, develop, test, and deploy AI/ML models and intelligent applications

Build and productionise machine learning and GenAI solutions, including RAG-based architectures

Work with Snowflake and modern cloud data platforms to develop scalable data and ML solutions

Develop robust software using modern software engineering, testing, automation, and CI/CD practices

Work across the full ML lifecycle, from experimentation and prototyping through to deployment, monitoring, and optimisation

Build and enhance data pipelines and solutions that support AI/ML workloads and analytics

Contribute to the evolution of AI/ML platforms, data products, and engineering capabilities

Improve the performance, scalability, reliability, and quality of data and ML pipelines

Champion MLOps, DataOps, and DevSecOps principles across development and delivery

Apply strong practices around data governance, privacy, security, and responsible AI

Collaborate with cross-functional teams to identify opportunities where AI and machine learning can deliver measurable business value

What You'll Bring

Strong hands-on software engineering experience with Python, with additional experience in R

Proven experience building and deploying machine learning and AI solutions in production

Strong experience working with Snowflake, cloud data platforms, and modern data architectures

Experience working across Linux, AWS, containers, and data science / ML platforms

Practical experience with Generative AI, LLMs, and RAG architectures

Understanding of MLOps, CI/CD, model deployment, monitoring, and automation

A strong software engineering mindset, with a focus on scalability, maintainability, testing, and reliability

Ability to take ownership of technical solutions and work effectively across engineering, data, product, and business teams

Strong problem-solving skills and the ability to turn ambiguous business problems into practical AI/ML solutions

Please note: Applicants must have unrestricted, full-time eligibility to work in Ireland.

For more information or to apply in confidence, please contact Scott Hool.

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