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-OFFICEposition 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. Benefits 25 days annual leave Company pension scheme Company Events Skills: Machine learning Artificial intelligence Time series Deep learning Benefits: Pension
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