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VP of Data Engineering; AI​/ML

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: Burns Sheehan
Full Time position
Listed on 2026-07-01
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Engineering, AWS
Salary/Wage Range or Industry Benchmark: 90000 GBP Yearly GBP 90000.00 YEAR
Job Description & How to Apply Below
Position: VP of Data Engineering (AI/ML)

VP of Data Engineering (AI/ML) Manchester, UK | Hybrid | Up to £90K + bonus

A leading global financial services organisation are looking for a hands‑on VP of Data Engineering to focus on building the data platform and infrastructure that powers machine learning in production.

This is for a strong data engineering with AI/ML exposure, who has built robust data pipelines and platforms that ML teams depend on to ship models.

Responsibilities
  • Design, build, and evolve scalable data platforms and pipelines that enable AI and ML use cases in production
  • Act as a senior hands‑on engineer within an agile POD, contributing directly to delivery day‑to‑day
  • Partner closely with data scientists, ML engineers, software engineers, and product owners to deliver end‑to‑end data and AI solutions
  • Engineer robust data ingestion, transformation, and serving capabilities using modern cloud‑native patterns
  • Identify and resolve complex data issues, bringing strong analytical and problem‑solving skills to ambiguous situations
  • Mentor and support less experienced engineers through code reviews, technical guidance, and knowledge sharing
Requirements
  • Solid data engineering foundations — pipelines, data platforms, ingestion, transformation, and serving at scale
  • Hands‑on experience with Python and SQL in production environments
  • Exposure to AI/ML workloads — you've built infrastructure that supports data scientists or ML engineers, even if you haven't been the one training models
  • Comfortable operating as a senior individual contributor in an agile, product‑oriented team
  • Strong communication and collaboration skills across cross‑functional teams
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