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# Vice President, AI / Machine Learning Software Engineer

- **Company:** Bny Linkedin
- **Location:** Broughton, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Machine Learning, Software Engineering, Systems Integration, Data Processing, Information Technology, Data Management
- **Published:** September 27, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/vice-president-ai-machine-learning-software-engineer/48591254

## About the Role

AI methodologies and frameworks to improve solution effectiveness Document solution design, assumptions, and algorithms for enterprise adoption To be successful in this role, we're seeking the following: Education: Degree in Computer Science, Mathematics, AI, Data Science, or related quantitative field Experience in software development with additional experience on AI based frameworks Skills: Strong analytical and algorithmic problem-solving skills Solid understanding of machine learning concepts, statistical methods, and AI techniques Ability to design scalable AI systems and architectures Strong logical reasoning and mathematical thinking Exposure to AI assisted experimentation and evaluation frameworks Experience translating business problems into algorithmic solutions Ability to work with large and complex datasets Strong written and verbal communication skills for explaining complex concepts At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom

## Description

designing and building AI-driven solutions for complex enterprise problems. The role focuses on strong logical thinking, algorithmic problem solving, and system design to develop scalable AI-enabled capabilities across data platforms and applications. The ideal candidate is comfortable working across the full lifecycle of AI solution development - from problem formulation and model selection to system integration and deployment - while emphasizing sound engineering principles and architectural thinking. In this role, you'll make an impact in the following ways: Design and develop AI-powered solutions to solve complex enterprise data and analytics problems Translate ambiguous business problems into structured AI/ML approaches and algorithms Build scalable architectures for AI solutions, including model pipelines, data processing, and decision systems Collaborate with platform, data, and product teams to integrate AI capabilities into enterprise systems Evaluate and experiment with emerging


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