Machine Learning Engineer

Job Description

Role Overview

SS&C is seeking a Machine Learning Engineer to join its Innovation team, driving the exploration and application of advanced AI and ML technologies across our financial services product landscape. This role will focus on designing, building, and deploying intelligent systems that solve real-world problems across domains like Funds, Wealth, and Life & Pensions.

As part of the Innovation function, you will work closely with product managers, data scientists, software engineers, and business stakeholders to develop machine learning models, integrate them into scalable systems, and contribute to the evolution of SS&C’s next-generation product offerings.

Key Responsibilities

• Develop and deploy machine learning models and pipelines to support new product features or internal efficiency tools.
• Collaborate with data scientists to translate prototypes into production-ready systems.
• Work with engineering teams to integrate ML components into microservice-based architectures.
• Optimize model performance, retraining strategies, and monitoring in production.
• Support research into emerging AI / ML methods, including NLP, generative AI, and time-series forecasting.
• Ensure models are robust, explainable, and compliant with industry and regulatory standards.
• Maintain documentation and contribute to knowledge sharing within the innovation and engineering community.

Required Skills & Experience

Preferred Qualifications