At a Glance
- Tasks: Build and integrate AI/ML components on BNY’s cutting-edge AI platform.
- 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.
- Other info: Collaborate with top talent and enjoy excellent career growth opportunities.
- Why this job: Make a real impact in finance while working with advanced AI technologies.
- Qualifications: Bachelor’s in relevant field and hands-on experience in ML/AI or software engineering.
The predicted salary is between 60000 - 80000 £ 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.
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).
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.
Senior Specialist, AI/ML Engineer - AI Hub in Manchester employer: BNY Mellon
At BNY, we pride ourselves on fostering a culture of innovation and collaboration, making it an exceptional employer for those in the AI/ML engineering field. Located in Manchester, our team enjoys access to cutting-edge technology and the opportunity to work on impactful projects that shape the future of finance. With competitive compensation, generous benefits, and a commitment to employee growth, BNY is dedicated to supporting your professional journey while promoting a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Specialist, AI/ML Engineer - AI Hub in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space, especially those at BNY. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's GitHub repos or personal projects, let your work speak for itself when you get that interview.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML concepts. Practice coding challenges and be ready to discuss your thought process—BNY loves problem solvers!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the BNY team.
We think you need these skills to ace Senior Specialist, AI/ML Engineer - AI Hub in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Specialist, AI/ML Engineer role. Highlight your hands-on engineering experience in ML/AI and any relevant projects you've worked on. We want to see how you can contribute to our AI Hub!
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 great fit for BNY. Don’t forget to mention specific technologies or methodologies you’ve used that relate to the job description.
Showcase Your Projects:If you've built or contributed to any AI/ML projects, make sure to include them in your application. We love seeing real-world applications of your skills, so share links to your GitHub or any demos if possible. This helps us understand your engineering craft!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of being noticed. It’s straightforward and ensures your application goes straight to the right team. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at BNY Mellon
✨Know Your AI/ML Stuff
Make sure you brush up on your AI and ML knowledge before the interview. Be ready to discuss specific projects you've worked on, especially those involving Python, data pipelines, or any relevant technologies mentioned in the job description. This shows you're not just familiar with the concepts but have hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled real-world problems in your previous roles. Think of examples where you had to debug APIs or improve data flows. Highlight your engineering craft and how you ensure the quality of what you build—BNY values reliability, so make this a key part of your discussion.
✨Collaboration is Key
Since this role involves working closely with Data Scientists and participating in solution design sessions, be ready to share examples of how you've collaborated in agile teams. Discuss your documentation habits and how you contribute to team success, as BNY places a strong emphasis on teamwork.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of AI/ML concepts and your coding skills. Practice coding challenges in Python and be prepared to explain your thought process. This will demonstrate your ability to translate requirements into implementation details, which is crucial for the role.
