At a Glance
- Tasks: Design and build AI-driven solutions for complex enterprise problems.
- Company: Join a leading finance engineering team in Manchester.
- Benefits: Competitive pay, flexible resources, generous leave, and wellbeing programs.
- Other info: Collaborative culture focused on excellence and personal growth.
- Why this job: Make a real impact with cutting-edge AI technology in a dynamic environment.
- Qualifications: Degree in Computer Science or related field; experience in AI frameworks.
The predicted salary is between 80000 - 100000 £ per year.
We are looking for highly analytical engineers who excel at designing and building AI-driven solutions for complex enterprise problems. The role focuses on strong logical thinking, algorithmic problem solving, and system design to develop scalable AI-enabled capabilities across data platforms and applications. The ideal candidate is comfortable working across the full lifecycle of AI solution development – from problem formulation and model selection to system integration and deployment – while emphasizing sound engineering principles and architectural thinking.
Impact
- Design and develop AI-powered solutions to solve complex enterprise data and analytics problems
- Translate ambiguous business problems into structured AI/ML approaches and algorithms
- Build scalable architectures for AI solutions, including model pipelines, data processing, and decision systems
- Collaborate with platform, data, and product teams to integrate AI capabilities into enterprise systems
- Evaluate and experiment with emerging AI methodologies and frameworks to improve solution effectiveness
- Document solution design, assumptions, and algorithms for enterprise adoption
Requirements
- Education: Degree in Computer Science, Mathematics, AI, Data Science, or related quantitative field
- Experience in software development with additional experience on AI‑based frameworks
- Strong analytical and algorithmic problem‑solving skills
- Solid understanding of machine learning concepts, statistical methods, and AI techniques
- Ability to design scalable AI systems and architectures
- Strong logical reasoning and mathematical thinking
- Exposure to AI‑assisted experimentation and evaluation frameworks
- Experience translating business problems into algorithmic solutions
- Ability to work with large and complex datasets
- Strong written and verbal communication skills for explaining complex concepts
Benefits
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.
Vice President, AI / Machine Learning Software Engineer in Manchester employer: Convergex
At BNY, we pride ourselves on being an exceptional employer, particularly for those in the Vice President, AI / Machine Learning Software Engineer role based in Manchester. Our commitment to employee growth is evident through our competitive compensation packages, comprehensive wellbeing programs, and a culture that champions excellence and inclusivity. With a focus on innovation and collaboration, we empower our team members to tackle complex challenges while enjoying generous benefits, including paid volunteer time, ensuring a fulfilling work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Vice President, AI / Machine Learning Software Engineer in Manchester
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We think you need these skills to ace Vice President, AI / Machine Learning Software Engineer in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Convergex, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Convergex. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Convergex
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Convergex!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
