Model Operations (ModelOps) Developer
Post Date : 11\-Sep\-2026 Close Date : 25\-Sep\-2026
PTSB is one of Ireland's leading retail and SME banks, with an innovative range of products and services powered through an evolving digital landscape, our focus is centred on ensuring we deliver what our customers, colleagues and communities need to be successful.
As a Model Ops Developer, you will be focused on the implementation and operationalisation of various models within the bank. This includes developing, testing, deploying, monitoring, and maintaining models in production environments. You will help to ensure the accuracy of our models and processes based on data to support the betterment of the bank through anomaly detection, optimise logistics to minimise costs/efforts and to make recommendations based on data analysis.
Responsibilities:
- Help deploy models into production environments, ensuring they are scalable and reliable.
- Work with your team to monitor model performance, detect anomalies, and update models as needed to maintain accuracy and relevance.
- Automate the end\-to\-end pipeline, including data preprocessing, model training, and deployment, to streamline workflows and reduce manual intervention.
- Work closely with data scientists to understand model requirements and with DevOps teams to integrate models into the broader IT infrastructure.
- Implement and manage Continuous Integration and Continuous Deployment (CI/CD) pipelines to facilitate seamless model updates and deployments.
- Ensure that deployed models adhere to security best practices and comply with relevant data privacy and protection regulations.
Essential
- Degree in Actuarial Science, Behavioural Economics, Computer Science, Mathematics, Economics, Engineering, IT, or Cyber Security.
- Proficiency in programming languages such as SAS, SQL, Python and R.
- Skills in setting up monitoring and logging systems to track model performance and detect issues.
- Skills in data preprocessing, feature engineering, and data transformation.
- Understanding of version control systems like Git.
- Ability to automate repetitive tasks and workflows using tools like Jenkins, Airflow, or Prefect.
- Familiarity with cloud services for machine learning, such as AWS SageMaker, GCP AI Platform, and Azure Machine Learning.
- Understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit\-learn). Familiarity with model training, evaluation, and validation techniques.
- Knowledge of scripting languages like Bash for automation tasks.
Is this you?
Please apply online on our website or via the apply link of this role. Your application will be sent through to our Talent Acquisition team and they will be in touch regarding your application.
We reserve the right to draw up a shortlist for interview.
The Bank understands the importance of a consistent and relentless focus on championing diversity and inclusion. We aim to attract, recruit, and retain individuals with diverse backgrounds, skills, competencies and abilities to work collaboratively to enhance the service we provide to all of our customers and the communities we serve.
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