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
At BNY, our culture speaks for itself, check out the latest BNY news at:
BNY Newsroom
BNY LinkedIn
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.
Skills Required
- Degree in Computer Science, Mathematics, AI, Data Science, or related quantitative field
- Experience in software development with additional experience on AI based frameworks
- 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
BNY Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BNY and has not been reviewed or approved by BNY.
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Healthcare Strength — Health coverage includes comprehensive options with a $0‑premium plan for eligible lower earners, expanded mental‑health support with personalized therapy, and strong income protection through short‑ and long‑term disability. These features have been recently enhanced and are paired with dental and vision coverage.
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Parental & Family Support — Parental leave provides 16 weeks of fully paid time for all parents, with added support such as adoption assistance. This breadth offers strong coverage for major family events.
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Retirement Support — The 401(k) program includes a company match and Roth options to support long‑term savings. Additional financial programs like tuition assistance and savings vehicles complement retirement readiness.
BNY Insights
What We Do
We help make money work for the world — managing it, moving it and keeping it safe. As a leading global financial services company at the center of the world’s financial system, we touch nearly 20% of the world’s investable assets. Today we help over 90% of Fortune 100 companies and nearly all the top 100 banks globally access the money they need. For 240 years we have partnered alongside our clients to create solutions that benefit businesses, communities and people everywhere.
