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Collaborate with stakeholders to define requirements, analyze large datasets, produce dashboards and reports (Power BI), perform cohort/funnel/retention analyses, ensure data quality, and support data-driven product and operational improvements.

The Senior AI/ML Engineer will design and deploy AI systems for business impact, lead MLOps practices, and collaborate with teams to drive AI solutions.

Manage and grow assigned retail and professional client portfolios by serving as primary contact, driving platform usage and trading activity, identifying upsell opportunities, performing client reviews, retaining at-risk accounts, coordinating internal teams, maintaining CRM records, and ensuring regulatory-compliant communications.

The Backend Developer (.NET) will design, develop, and support backend services, improve quality through automated tests, and collaborate during integration processes.

Lead design, development, and productionisation of end-to-end ML systems (training, deployment, monitoring, retraining). Drive AI use cases (CLV, churn, fraud), build MLOps/CI-CD pipelines, implement monitoring and explainability (e.g., SHAP), enforce model governance, collaborate with Data Engineering and business stakeholders, and mentor team members to deliver measurable business impact in regulated contexts.

Lead design, development, and productionisation of ML models and MLOps pipelines (training, deployment, monitoring, retraining). Deliver AI use cases (CLV, churn, fraud), ensure model governance, explainability (eg. SHAP), collaborate with Data Engineering and stakeholders, and mentor team members to drive measurable business impact.

Lead end-to-end product design for web and mobile: create user flows, wireframes, interactive prototypes, and scalable design systems. Conduct user research and usability testing, collaborate with product and engineering, mentor designers, apply data and AI tools to iterate designs, and ensure consistent, production-ready UX/UI implementations.

Lead end-to-end product design across web and mobile: user flows, wireframes, prototypes, visual systems, usability testing, analytics-driven iteration, collaboration with product and engineering, design leadership and mentorship, and driving scalable design systems and AI-enabled design practices.

Design, implement, and optimize AI-driven workflows, develop AI agents, monitor systems, and determine automation opportunities in a fast-paced environment.

Support product teams by analyzing product metrics, gathering and documenting requirements, refining backlogs, mapping processes, and delivering data-driven recommendations to improve user experience and product performance. Collaborate with developers, designers, and stakeholders through discovery, development, testing, and post-release monitoring.