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Director, AI / Machine Learning Software Engineer

London, United Kingdom

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Apply at BNY Mellon

What you’ll work on

Full posting

The AI/ML Software Engineering within the Enterprise Transformation Hub will help drive the acceleration of AI-enabled solution delivery across the ecosystem.

In this role, you’ll make an impact in the following ways:

Tools in this posting

  • Python
  • SQL
  • JavaScript
  • TypeScript
Source — Tool mentions in context
- Significant related experience required; experience in the securities or financial services industry is a plus. - Strong proficiency in Python and SQL required, with working knowledge of JavaScript/TypeScript; knowledge of Angular is beneficial - Strong communication, organization, teamwork, and interpersonal skills, with the ability to support mentoring and collaborate effectively with cross-functional teams

Job description

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We’re seeking a future team member for the role of Director, AI / Machine Learning Software Engineer to join our team. This role is located in Manchester or London.

Role Summary: 

The AI/ML Software Engineering within the Enterprise Transformation Hub will help drive the acceleration of AI-enabled solution delivery across the ecosystem. This role is responsible for designing and building high-quality, usable solutions that strengthen connectivity across platforms, data sets, and AI capabilities. The individual will create linkages that improve context, reuse, and scalability, while applying strong technical judgement and strategic vision to move solutions forward. They will play a key role in shaping reusable skills, patterns, and engineering practices that help BNY deliver more integrated and effective AI outcomes.

In this role, you’ll make an impact in the following ways: 

  • Leads complex machine learning initiatives with direct strategic impact, applying deep knowledge of machine learning concepts and their practical business applications

  • Directly contributes to strategic goals and corporate direction through innovative AI and machine learning solutions

  • Provides organizational leadership and develops proposals that help move the business forward.

  • Builds and strengthens partnerships with internal and external stakeholders across BNY

  • Conducts studies and analysis to provide the facts needed to support informed strategic decisions.

  • Builds AI-enabled solutions that move from concept to production use

  • Connects data, models, and systems to ensure solutions operate effectively within the broader technology ecosystem

  • Improves quality, usability, and reliability so outcomes are practical, trusted, and effective for users.

  • Creates reusable components and patterns that accelerate future delivery

  • Drives innovation by identifying opportunities where AI can create meaningful value
     

To be successful in this role, we’re seeking the following: 

  • Bachelor’s degree in computer science, engineering, or a related discipline, or equivalent work experience required; advanced degree is beneficial

  • Significant related experience required; experience in the securities or financial services industry is a plus.

  • Strong proficiency in Python and SQL required, with working knowledge of JavaScript/TypeScript; knowledge of Angular is beneficial

  • Strong communication, organization, teamwork, and interpersonal skills, with the ability to support mentoring and collaborate effectively with cross-functional teams

  • Advanced degree in STEM, Engineering, or a related field, or equivalent work experience preferred

  • Expertise in AI and machine learning software development

  • Strong problem-solving skills with the ability to manage complex data processes

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.

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Source & posting history

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Pay

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Location & working pattern

London, United Kingdom

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Status in our records
Active
First seen by us
Sep 8, 2026
Recorded sightings
33
Last seen by us
Oct 9, 2026

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