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Vice President, AI Machine Learning Software Engineer

Hackajob Ltd · Manchester Science Park, Manchester

How to use this kit

Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.

Interview prep

Expect depth on ML systems leadership: productionizing models, team and roadmap ownership, and how you balance research ambition with shipping reliable software. Prepare concise examples of technical decisions you drove at VP scope.

Fit summary

Strong fit if you lead AI/ML software at executive scope and want an on-site VP role with Hackajob Ltd at Manchester Science Park. Thin public company and pay data here means you should verify culture, team size, and compensation directly with the employer.

Day in the role

As Vice President, AI Machine Learning Software Engineer at Hackajob Ltd in Manchester Science Park, a typical day centers on setting ML software direction, reviewing model and platform designs with engineering leads, unblocking delivery, and aligning AI product priorities with leadership—while staying close enough to the stack to judge trade-offs on training, serving, and reliability.

FAQ from this listing

Is this role remote?

No. The listing is on-site at Manchester Science Park, Manchester.

What does the title emphasize?

Vice President-level ownership of AI and machine learning software engineering, not a pure individual-contributor coding seat.

What local context is available?

Location detail points to Manchester Science Park in Greater Manchester, England; broader England context is summarized from Wikipedia with the link above.

Role overview (listing rewrite)

Vice President, AI Machine Learning Software Engineer at Hackajob Ltd, Manchester Science Park, Manchester The Opportunity Hackajob Ltd is partnering directly with BNY Mellon to hire for this exciting role as Vice President, AI / Machine Learning Data Engineer. At BNY Mellon, we are committed to fostering a culture that empowers employees to grow and succeed while driving innovation in the global financial services industry. As a leading global financial services company, we influence nearly 20% of the world's investible assets. Our teams harness cutting-edge technologies to drive our business forward. What You'll Do In this role, you will be responsible for: Leading the development and implementation of AI and machine learning solutions across various projects within BNY Mellon. Collaborating with cross-functional teams to identify opportunities for innovation and improving operational efficiency through advanced data analytics. Developing and maintaining robust machine learning models that can handle large datasets and deliver actionable insights. Staying up-to-date with the latest advancements in AI and machine learning technologies to ensure BNY Mellon remains at the forefront of industry trends. What You Bring To excel in this role, you should have: A minimum of 10 years of experience in AI and machine learning software engineering, with a proven track record of leading large-scale projects. Demonstrated expertise in developing and deploying complex machine learning models using Python, R, or similar languages. Strong knowledge of data preprocessing techniques, feature selection, model validation, and optimization. Experience working in a fast-paced, dynamic environment where innovation is key. More About Hackajob Ltd Hackajob Ltd is dedicated to connecting talented professionals with leading companies. Located at Manchester Science Park, we offer a collaborative and innovative work environment that encourages growth and success. As part of the BNY Mellon family, you will have access to extensive resources and support to drive your career forward. How to Apply To apply for this position, complete your application directly on this page. If you prefer, you'll be redirected to the employer's application platform to finish submitting your application there. Please ensure all required fields are filled out accurately and submit your resume, cover letter, and…

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Questions to ask them

Generated for personal interview prep · 2026-08-26 UTC · getajob.ai