VP, AI/ML Data Engineering & Systems

Archer; Manchester; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Benefits and wellbeing programs

Paid leaves including volunteer time

Job summary

BNY is hiring a Vice President, AI / Machine Learning Data Engineer in Manchester. The role focuses on designing AI-driven solutions for complex enterprise problems across the data stack, from problem framing to deployment, partnering with platform, data, and product teams.

Strong ML, AI technique knowledge and architectural thinking are essential in this leadership position. The candidate will lead the development of scalable AI systems, pipelines, and decision engines, while documenting

Qualifications

• Degree or higher in a quantitative field such as CS, math, AI or data science.
• Solid understanding of ML concepts, statistics and AI techniques.
• Experience designing scalable AI systems and architectures.
• Strong problem solving, logic and mathematical thinking.
• Ability to translate business needs into algorithmic solutions.
• Excellent written and verbal communication to explain complex concepts.

Responsibilities

• Design and develop AI-driven solutions for enterprise data problems.
• Translate ambiguous business problems into structured AI/ML approaches.
• Build scalable AI pipelines, data processing, and decision systems.
• Collaborate with platform, data and product teams to embed AI in enterprise systems.
• Evaluate emerging AI methodologies to improve solutions.
• Document design choices and algorithms for enterprise adoption.

Skills

Analytical problem solving

ML concepts

AI techniques

System design

Algorithmic thinking

Business problem translation

Communication skills

Education

Degree in Computer Science, Mathematics, AI, Data Science or related field

Tools

AI frameworks

Job description

BNY is hiring a Vice President, AI / Machine Learning Data Engineer in Manchester. The role focuses on designing AI-driven solutions for complex enterprise problems across the data stack, from problem framing to deployment, partnering with platform, data, and product teams.

Strong ML, AI technique knowledge and architectural thinking are essential in this leadership position. The candidate will lead the development of scalable AI systems, pipelines, and decision engines, while documenting