Vice President, AI / Machine Learning Software EngineerBNY • Manchester, England, United Kingdom
Vice President, AI / Machine Learning Software Engineer
BNY
- Manchester, England, United Kingdom
- Manchester, England, United Kingdom
À propos
At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.
We’re seeking a future team member for the role of Vice President, AI / Machine Learning Data Engineer to join our Finance Engineering team. This role is located in Manchester.
Role Overview
We are looking for highly analytical engineers who excel at 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 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:
Here’s a few of our recent awards:
America’s Most Innovative Companies, Fortune, 2025
World’s Most Admired Companies, Fortune 2025
“Most Just Companies”, Just Capital and CNBC, 2025
Our Benefits and Rewards:
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans
Compétences linguistiques
- English
Avis aux utilisateurs
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