Vice President, AI Machine Learning Software Engineer

hackajob is partnering directly with BNY Mellon to hire for this role.

Vice President, AI / Machine Learning Data Engineer

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

The following information aims to provide potential candidates with a better understanding of the requirements for this role.
At BNY, our culture speaks for itself, check out the latest BNY news at:

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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. xehkeey

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.