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职位BNY Mellon

Senior Associate, AI/ML Engineer - AI Hub

BNY Mellon

Senior Associate, AI/ML Engineer - AI Hub

BNY Mellon

Manchester, Greater Manchester, United Kingdom

·

On-site

·

Full-time

·

1mo ago

必备技能

Python

Go

GraphQL

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 #Life AtBNY 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.

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关于BNY Mellon

BNY Mellon

BNY Mellon is a global investment company and one of the world's oldest banks, providing investment management and investment services to institutions, corporations and high-net-worth individuals. The company serves as a custodian for assets and provides treasury services, fund administration and other financial services.

10,001+

员工数

New York City

总部位置

$40B

企业估值

评价

4.0

31条评价

工作生活平衡

3.4

薪酬

4.8

企业文化

3.9

职业发展

4.1

管理层

3.5

78%

推荐给朋友

优点

Prestigious brand and networking opportunities

Excellent compensation and bonus structure

Exposure to complex financial systems

缺点

Work-life balance can be difficult

Legacy technology in some areas

High-pressure environment with strict deadlines

薪资范围

28个数据点

L2

L3

L4

L5

L6

M3

M4

M5

M6

L2 · Data Scientist L2

0份报告

$74,866

年薪总额

基本工资

$29,946

股票

$37,433

奖金

$7,487

$52,406

$97,326

面试经验

8次面试

难度

3.0

/ 5

时长

21-35周

体验

正面 0%

中性 75%

负面 25%

面试流程

1

Application Review

2

Online Assessment/Technical Screen

3

HR/Recruiter Screen

4

Technical Interview

5

Behavioral Interview

6

Final Round/Superday

常见问题

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Culture Fit