Triumph Research Specialists

• Evangelise the enablement of AI across the organisation. • Collaborate closely with the CSO, Data Science and other teams. • Develop, train, evaluate, and optimise ML and deep learning models. • Build and validate generative AI solutions. • Implement data pipelines, feature engineering, and model evaluation workflows. • Deploy, monitor, and maintain ML models in production. • Ensure all AI/ML solutions meet quality, explainability, compliance, and performance requirements. • Provide thought leadership on AI/ML strategy, governance, and delivery best practices. • Ensure alignment with security, ethical AI, privacy, and regulatory requirements. • Create and maintain documentation on AI and Machine Learning processes and systems.

• Take ownership of medium-to-high complexity features and deliver high-quality solutions. • Implement strategic technical improvements for our Risk Based Quality Management system. • Design, build and support core services within the platform, emphasizing reliability and technical excellence. • Drive features from conception to production with minimal oversight.

• Serve as a security expert within the Cloud Operations team. • Collaborate with the Development team for security best practices. • Manage and secure Infrastructure as Code (IaC). • Be part of an out-of-hours support roster. • Implement secure Agile methodologies in CI/CD pipelines.

• Data Engineer to join our data team and play a central role in how we move, store, and shape data across the organisation. • You'll design robust pipelines, architect scalable storage solutions, and work shoulder-to-shoulder with Data Scientists to turn raw data into the foundation for meaningful decisions.

• Define and execute TRI's Customer Success strategy, aligned with company objectives. • Create a scalable CS operating model covering onboarding, adoption, value realisation, renewal and advocacy. • Develop strong executive-level relationships with customers to understand their RBQM objectives and challenges. • Ensure customers achieve measurable value, leveraging Triumph’s technology, services and best-practice frameworks. • Implement and oversee customer satisfaction (CSAT), net promoter scores (NPS) and advocacy programs. • Define customer health metrics and ensure consistent monitoring and reporting. • Introduce systems, tools and dashboards to track adoption, engagement and risk signals. • Partner with Operations to ensure seamless customer onboarding and transition to business as usual (BAU).