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Senior Associate, AI/ML Engineer - AI Hub

Manchester, United Kingdom
Machine Learning Engineer Artificial Intelligence Engineer Data Engineer

Senior Associate, AI/ML Engineer - AI Hub

BNY Mellon
Manchester, United Kingdom
Machine Learning Engineer Artificial Intelligence Engineer Data Engineer
BNY Mellon

hackajob is partnering with BNY Mellon to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

Senior Associate, AI/ML Engineer – AI Hub

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 Senior Associate, AI/ML Engineer – AI Hub to join our AI Hub team. This role is located in Manchester.

Why this role (for hands-on builders): 

  • Autonomy to build and ship real components that go into production.
  • Work on AI capabilities that matter to global financial operations.
  • Solve practical, high rigor problems where reliability counts.
  • Bring strong engineering craft and clear evaluation habits.
  • Join an experienced team and learn from senior architects and data scientists.
  • Own the quality of what you build—tested, observable, and robust.

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

  • Build and integrate AI/ML components on BNY’s AI platform ELIZA: data pipelines, retrieval/inference workflows, evaluation scripts, automation steps.
  • Translate requirements into implementation details, test plans, and sprint ready tasks.
  • Collaborate with Data Scientists to validate outputs, improve quality, and prepare for production.
  • Debug APIs, data flows, prompts, and workflow breakpoints with strong observability.
  • Participate in solution design sessions; align implementations to secure, reference architectures.
  • Prepare demos; contribute to client/internal workshops; document clearly.

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

  • Bachelor’s in AI, Computer Science, Engineering, Data Science, or equivalent experience.
  • Hands on engineering experience in ML/AI, software, or data engineering.
  • Proficiency in Python; familiarity with REST/GraphQL, vector stores, RAG basics, evaluation tooling.
  • Experience in agile/pod teams with strong documentation and collaboration habits.
  • No people leadership (individual contributor role).


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.

hackajob is partnering with BNY Mellon to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

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