At a Glance
- Tasks: Lead innovative AI/ML projects and design high-quality solutions that drive business impact.
- Company: Join a forward-thinking financial services firm in Manchester or London.
- Benefits: Competitive salary, career growth, and opportunities to work with cutting-edge technology.
- Other info: Collaborative environment with a focus on mentorship and professional development.
- Why this job: Shape the future of AI solutions and make a real difference in the industry.
- Qualifications: Bachelor's degree in computer science or related field; strong Python and SQL skills required.
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.
Director, AI / Machine Learning Software Engineer in London employer: BNY Mellon
At BNY, we pride ourselves on fostering a culture that champions innovation and employee growth, making us an exceptional employer in the heart of London. Our commitment to competitive compensation, comprehensive benefits, and a supportive work environment empowers our team members to thrive both personally and professionally. Join us to be part of a dynamic team that not only drives transformative solutions in finance but also uplifts communities worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Director, AI / Machine Learning Software Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at BNY Mellon or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to BNY Mellon.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like BNY Mellon.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like BNY Mellon that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Director, AI / Machine Learning Software Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at BNY Mellon.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at BNY Mellon and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at BNY Mellon
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If BNY Mellon uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
