Machine Learning Engineer

Fruition Group Ireland; Dublin; On-site; EUR 55,000 - 75,000; Full time

Job summary

Fruition Group Ireland in Dublin is seeking a Junior to Mid-Level Machine Learning Engineer to join a growing team. You will build and improve forecasting models for supply and demand using real-world data.

You will work with time-series and tabular data, clean and prepare large datasets, assess model performance and collaborate with stakeholders to deploy models into production. The role requires Python skills and experience with Pandas, NumPy and Scikit-learn, plus a solid understanding of ML

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Engineering or related field.
• Experience of 1–3 years in Machine Learning, Data Science or similar role; strong graduates with relevant projects or internships considered.

Responsibilities

• Build, test and improve machine learning models for supply and demand forecasting.
• Work with time-series and tabular datasets.
• Clean, prepare and analyse large and sometimes imperfect datasets.
• Identify and integrate additional datasets that can improve forecasting accuracy.
• Analyse model performance and identify opportunities for improvement.
• Communicate technical findings clearly to technical and non-technical stakeholders.
• Work closely with the wider team to integrate forecasting models into production.
• Develop knowledge of model deployment, monitoring and MLOps.

Skills

Python skills

Time-series forecasting

Analytical skills

Communication

Statistics fundamentals

Education

Bachelor's or Master's in Computer Science / Data Science / ML / Math / Statistics / Engineering

Tools

Pandas

NumPy

Scikit-learn

Job description

We are looking for a Junior to Mid-Level Machine Learning Engineer to join a growing team in Dublin.

This is a hands-on role where you will build and improve machine learning solutions focused on supply and demand forecasting, working with real-world data to produce accurate predictions and practical business insights.

Key Responsibilities

• Build, test and improve machine learning models for supply and demand forecasting.
• Work primarily with time-series and tabular datasets.
• Clean, prepare and analyse large and sometimes imperfect datasets.
• Identify and integrate additional datasets that can improve forecasting accuracy.
• Analyse model performance and identify opportunities for improvement.
• Communicate technical findings clearly to technical and non-technical stakeholders.
• Work closely with the wider team to integrate forecasting models into production.
• Develop your knowledge of model deployment, monitoring and MLOps.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Engineering or a related field.
• Around 1–3 years' experience in Machine Learning, Data Science or a similar role. Strong graduates with relevant projects or internships may also be considered.
• Good Python skills and experience with libraries such as Pandas, NumPy and Scikit-learn.
• Practical understanding of machine learning and predictive modelling.
• Exposure to time-series forecasting through commercial experience, academic research, internships or personal projects.
• Comfortable working with and analysing large datasets.
• Good understanding of statistics and machine learning fundamentals.
• Strong analytical and problem-solving skills.
• Ability to communicate technical concepts clearly.
• Comfortable working in a fast-paced environment.

Experience in any of the following would be beneficial but is not essential:

• Demand or supply forecasting
• Manufacturing, food, agriculture or supply chain data