Back to jobs

Vice President, AI / Machine Learning Data Engineer

Manchester, Greater Manchester, United Kingdom

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at BNY Mellon

What you’ll work on

Full posting

We are looking for highly analytical engineers who excel at designing and building AI-driven solutions for complex enterprise problems.

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.

Job description

View original posting ↗

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

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on eofe.fa.us2.oraclecloud.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Manchester, Greater Manchester, United Kingdom

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Status in our records
Active
First seen by us
Sep 17, 2026
Recorded sightings
33
Last seen by us
Oct 9, 2026
Employer says posted
Sep 15, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.