Senior Associate, AI/ML Engineer - AI Hub
Why This Role Stands Out
You'll have the opportunity to build and deploy impactful AI/ML components within a leading global financial services company, contributing to innovative solutions that redefine industries. This hybrid role is perfect for hands-on engineers who thrive on solving complex problems, owning their work, and collaborating with experienced teams to drive technological advancements in finance. Join BNY and be part of shaping the future of finance with cutting-edge AI.
Quick Overview
Job Description
hackajob is collaborating with BNY to connect them with exceptional professionals for this role.
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 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.
Skills
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