Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop AI-powered solutions for complex enterprise data problems.
- Company: Join BNY, a leading global financial services company with a culture of innovation.
- Benefits: Competitive pay, flexible resources, generous paid leave, and wellbeing programs.
- Why this job: Make a real impact in finance using cutting-edge AI technologies.
- Qualifications: Degree in Computer Science or related field; experience in software development and AI frameworks.
- Other info: Dynamic environment with opportunities for growth and collaboration across teams.
The predicted salary is between 80000 - 100000 £ per year.
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 welcome you to apply!
When applying to this general posting, our expert BNY Talent Acquisition Team may also review your resume for consideration across other open roles within the company. 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
- 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. 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. This is a talent pipeline posting and does not represent any one particular job opening. By applying to this pipeline requisition, your interest will be reviewed for multiple potential openings based upon your background and disclosed work preference.
Vice President, AI / Machine Learning Data Engineer - Talent Pool in Manchester employer: BNY Mellon
Contact Detail:
BNY Mellon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Vice President, AI / Machine Learning Data Engineer - Talent Pool in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at BNY. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Showcase your skills! If you've got a portfolio or projects that highlight your AI and machine learning prowess, make sure to share them. It’s a great way to demonstrate your capabilities beyond just a CV.
✨Tip Number 3
Prepare for interviews by diving deep into BNY's culture and values. Understand their approach to AI and how you can contribute. Tailor your responses to reflect how you align with their mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team!
We think you need these skills to ace Vice President, AI / Machine Learning Data Engineer - Talent Pool in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of Vice President, AI / Machine Learning Data Engineer. Highlight your analytical skills and any relevant projects you've worked on that showcase your ability to solve complex problems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for BNY. Don’t forget to mention specific examples of your work that demonstrate your expertise in AI-driven solutions.
Showcase Your Technical Skills: Since this role requires strong technical abilities, be sure to include any relevant programming languages, frameworks, or tools you’re proficient in. Mention your experience with machine learning concepts and how you've applied them in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people and allows us to consider you for multiple roles that match your skills and interests. Plus, it’s super easy!
How to prepare for a job interview at BNY Mellon
✨Know Your AI Inside Out
Make sure you brush up on the latest AI and machine learning concepts. Be ready to discuss specific frameworks and methodologies you've worked with, as well as how they can be applied to solve complex problems in a financial context.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've translated ambiguous business problems into structured AI/ML approaches. Use the STAR method (Situation, Task, Action, Result) to clearly outline your thought process and the impact of your solutions.
✨Demonstrate Collaboration
BNY values teamwork, so be ready to discuss how you've collaborated with cross-functional teams. Highlight any experiences where you integrated AI capabilities into existing systems and how you communicated complex concepts to non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about BNY's approach to AI and machine learning. This shows your genuine interest in the role and helps you understand how you can contribute to their innovative culture. Think about how you can align your skills with their goals.