Senior Machine Learning Engineer

Fruition Group Ireland; Dublin; On-site; EUR 90,000 - 125,000; Full time

Job summary

Fruition Group Ireland is seeking an in-office machine learning forecasting specialist for Dublin city centre, with regular travel to the EU and US. You will design and embed forecasting models into day-to-day operations, working with cross-functional teams across Europe and North America.

The role focuses on time-series forecasting for food and agriculture products, leveraging Python and modern ML libraries. Strong collaboration and data-driven insights are essential.

Qualifications

• Experience designing, building and deploying ML models, with strong expertise in time-series forecasting.
• Proficiency in Python and modern ML libraries (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow).
• Ability to work with large, complex datasets and transform data into forecasting solutions.
• Experience in rapid prototyping, testing and deploying production-ready models with a results-driven approach.

Responsibilities

• Partner with client supply chain, planning, and leadership teams across Europe and the US, including regular on-site engagements, to understand business processes and transform data into high-quality forecasting inputs.
• Design, develop, and improve ML forecasting models across a diverse product portfolio, with focus on agriculture and food sectors.
• Identify, source, and maintain open-source and proprietary datasets to improve model accuracy.
• Analyse forecasting results and communicate insights and business recommendations to technical and non-technical stakeholders.
• Collaborate with cross-functional teams to ensure forecasting solutions are integrated into client operations.

Skills

Python

Time-series forecasting

Machine learning

Data analysis

Pandas

NumPy

Scikit-learn

PyTorch

TensorFlow

Education

Bachelor's or Master's degree in CS/Data Science/Engineering

Tools

Pandas

NumPy

Scikit-learn

PyTorch

TensorFlow

Job description

Our client is a well-capitalised, high-growth technology company building an advanced forecasting platform for the food processing sector.

This position is a full time, IN-OFFICE position in Dublin city centre, With Travel to the EU & US regularly.

The Role

Design and implement machine learning solutions that forecast supply and demand, turning complex business data into accurate predictions and embedding AI directly into day-to-day operations.

Key Responsibilities

• Partner with client supply chain, planning, and leadership teams across Europe and the US, including regular on-site engagements, to understand business processes and transform data into high-quality forecasting inputs.
• Design, develop, and continuously enhance machine learning forecasting models across a diverse portfolio of products, with a primary focus on the agriculture and food sectors.
• Identify, source, and maintain high-quality open-source and proprietary datasets to improve model accuracy and performance.
• Analyse forecasting results and communicate technical insights and business recommendations clearly to both technical and non-technical stakeholders.
• Collaborate closely with cross-functional teams to ensure forecasting solutions are effectively integrated into client operations and drive measurable business outcomes.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Engineering, or a related field.
• Proven experience designing, building, and deploying machine learning models, with strong expertise in time-series forecasting and tabular data.
• Proficiency in Python and modern machine learning frameworks and libraries (e.g. Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow).
• Ability to work with large, complex, and imperfect enterprise datasets, transforming raw data into reliable forecasting solutions.
• Experience rapidly prototyping, testing, and deploying production-ready models with a practical, results-driven approach.
• Strong understanding of manufacturing, supply chain, inventory management, or Sales & Operations Planning (S&OP), with experience in demand forecasting considered highly advantageous.
• Familiarity with MLOps, model deployment, monitoring, observability, and model interpretability techniques is desirable.
• Excellent analytical, problem-solving, and communication skills, with the ability to translate technical concepts into clear business insights for clients and stakeholders.
• Previous experience in a fast-paced startup or scale-up environment, or participation in competitive machine learning platforms would be an advantage.