Union Bank of Nigeria ("UBN”) was established in 1917 and is one of Nigeria’s long-standing and most respected financial institutions, offering a portfolio of banking services to individuals, SMEs, commercial and corporate clients. With a robust geographical network comprising more than 300 branches and over 650 ATMs spread across Nigeria, we have remained committed to helping individuals, families and businesses grow for nearly a century. We are committed to being widely recognised as a highly respected provider of quality banking services. Our ambition is hinged on successfully delivering against six strategic pillars including quality of our customer experience, client base, talent, banking platform, professional standards and earnings. Aggressive execution of our strategy is underway, leveraging a robust transformation team largely focused on people, processes and technology. Our recent awards and recognitions include Business Day Award for "best bank to support Nigeria’s small and medium scale enterprises”, Central Bank of Nigeria Award as the best bank in Agricultural Credit Guarantee Scheme Fund in Nigeria, MasterCard cashless champion awards: Cashless POS Activation Champion and first Nigerian bank awarded the latest Payment Card Industry Data Security Standard (PCI DSS) Version 3.0 certification. With our unrelenting commitment to our transformation, we are repositioning Union Bank as a strong player in the Nigerian banking sector - A Simpler, Smarter Bank.
What You’ll Do
- Lead end?to?end AI Delivery & MLOps, ensuring models move from development to production seamlessly
- Manage and mentor a multidisciplinary team of AI Engineers, ML Engineers, and Data Scientists
- Drive innovation through Generative AI, including LLMs, RAG, and Computer Vision
- Oversee AI infrastructure, tooling, and cloud platforms (PyTorch, TensorFlow, HuggingFace, LangChain, Spark, etc.)
- Build advanced models (Deep Learning, Neural Networks, Reinforcement Learning)
- Ensure rigorous AI governance, documentation, model lineage, and compliance
- Establish frameworks for model observability, bias, drift, performance monitoring
- Translate business needs into AI roadmaps that enhance customer experience and operational efficiency
- Champion agile AI delivery (sprints, rapid prototyping, iterative model enhancement)
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- What Success Looks Like
- Deployment of impactful AI solutions across banking functions
- Automation of manual processes and measurable efficiency gains
- High?performing AI agents and retrieval systems
- Strong stakeholder satisfaction and user adoption
- Compliance with ethical and regulatory AI standards
What We’re Looking For
- Bachelor’s degree in Computer Science, AI, Data Science or related field (Master’s is an advantage)
- 8-10 years AI/ML experience, ideally including production-grade deployments in Financial Services
- Strong expertise in MLOps, Python, ML libraries, LLM orchestration, and data engineering
- Familiarity with NDPA, AI ethics, and bias mitigation principles
- Excellent communication skills and the ability to explain complex AI concepts to business leaders
- Strategic thinker with a product mindset and high problem?solving ability
Method of Application
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