BNY
Vice President, AI / Machine Learning Software Engineer

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Vice President, AI / Machine Learning Software Engineer
Job Description
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 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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:


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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.
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