Machine Learning Engineer

Fruition Group Ireland; Dublin; Hybrid; EUR 70,000 - 100,000; Full time

Job summary

Fruition Group Ireland seeks an experienced Machine Learning Engineer to develop, deploy and enhance forecasting solutions within a growing technology environment.

Responsibilities include building time-series models, analysing large datasets, deploying models to production, and maintaining monitoring and retraining processes. The role requires strong Python skills, cloud experience (AWS/Azure/GCP) and a customer-facing mindset to translate technical results for stakeholders.

Qualifications

• 3+ years in ML/DS or related role
• Hands-on experience with time-series forecasting
• Strong knowledge of ML principles and model evaluation
• Proficiency in Python and ML libraries
• Experience processing and analysing structured data
• Experience deploying ML models to production
• Good communication for non-technical stakeholders
• Ability to work independently and in a team
• Experience with cloud platforms (AWS/Azure/GCP)
• Familiarity with MLOps, monitoring and automated deployment
• Knowledge of containers/orchestration and infra automation
• Experience with computer vision models would help
• Understanding of data engineering and scalable pipelines
• Customer-facing technical experience
• Interest in technical leadership/engineering management

Responsibilities

• Design, build and optimise ML models, especially time-series forecasting.
• Analyse large datasets to identify trends and actionable insights.
• Evaluate model performance and improve accuracy, reliability and scalability.
• Collaborate with engineers to deploy models into production.
• Establish monitoring, retraining and maintenance processes.
• Translate outputs into clear recommendations for customers and stakeholders.
• Work with teams to ensure ML solutions meet business needs.
• Contribute to engineering standards, tools and best practices.

Job description

Our client is seeking an experienced Machine Learning Engineer to develop, deploy and enhance forecasting solutions within a growing technology environment.

Job Responsibilities

• Design, build and optimise machine learning models, with a particular focus on time-series forecasting.
• Analyse large and complex datasets to identify trends, patterns and commercially useful insights.
• Evaluate model performance and introduce improvements to increase accuracy, reliability and scalability.
• Work with engineering colleagues to deploy models into production environments.
• Establish appropriate processes for model monitoring, retraining and ongoing maintenance.
• Translate technical outputs into clear recommendations for customers and non-technical stakeholders.
• Collaborate with internal teams to ensure machine learning solutions align with business and customer requirements.
• Contribute to the development of engineering standards, tools and best practices as the team expands.

Experience Required

• A minimum of 3 years’ experience in a Machine Learning Engineer, Data Scientist or closely related role.
• Demonstrable experience delivering multiple machine learning projects involving time-series forecasting.
• Strong knowledge of machine learning principles, statistical modelling and model evaluation techniques.
• Proficiency in Python and commonly used machine learning libraries.
• Experience preparing, processing and analysing structured datasets.
• Previous involvement in deploying or supporting machine learning models in production.
• Strong communication skills, with the ability to explain technical findings clearly to customers and business stakeholders.
• Ability to work independently while contributing effectively within a collaborative technical team.
• Experience with cloud platforms such as AWS, Azure or Google Cloud Platform.
• Familiarity with MLOps practices, model monitoring and automated deployment pipelines.
• Knowledge of containerisation, orchestration or infrastructure automation tools.
• Experience working with computer vision models.
• Understanding of data engineering processes and scalable data pipelines.
• Previous experience in a customer-facing technical position.
• Interest in progressing towards a technical leadership or engineering management role.

Educational Requirements

• A third-level degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Engineering or a related discipline.
• A postgraduate qualification in a relevant technical subject would be beneficial but is not essential.
• Standard Monday-to-Friday working hours.
• Flexible or hybrid working arrangements, subject to business requirements.
• Competitive salary and benefits package.
• Opportunities for professional development and technical leadership progression.
• Exposure to modern machine learning technologies and high-impact customer projects.