AI Engineering Leader

2 days ago

London, Greater London, United Kingdom CUBE Content Governance Global Limited Full time

Job Overview

CUBE Content Governance Global Limited, a pioneering RegTech business, is seeking an experienced AI Engineering Leader to join our team. Located in London, UK (hybrid), this role offers a unique opportunity to lead AI engineering teams across multiple locations and drive the development of machine automated compliance solutions.

The ideal candidate will have a strong background in AI and ML techniques, data engineering, software development, team leadership, and project management. With experience in managing complex data pipelines, leveraging AI solutions, and converting unstructured real-world information into actionable data for demanding customers, you will be responsible for defining and delivering AI-enabled features across the stack.

Key Responsibilities

  • Work with product and customer teams to define and deliver AI-enabled features.
  • Manage AI/ML teams, balancing execution and delivery with research and exploration.
  • Develop and implement a data strategy for AI teams that integrates diverse data sources.
  • Drive value and time to market by balancing external capabilities and internally tuned models.
  • Lead teams across Australia, India, Sri Lanka, and the UK.
  • Define and deliver a robust platform allowing AI teams to access data safely.
  • Mentor and coach team members, encouraging their professional growth.
  • Support the overall company brand by speaking at meetups and conferences.

Requirements

  • Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering, or a related field.
  • Proven experience as an AI Engineering Leader, managing multiple squads and complex engineering delivery projects.
  • Experience in designing and deploying machine learning-driven solutions.
  • Solid mathematical foundation in deep learning techniques.
  • Proficiency in Python and relevant libraries.
  • Strong background in general software development.
  • Experience with cloud environments – Azure and GCP preferred.
  • Excellent project management skills and experience with Agile methodologies.
  • Ability to work on multiple projects in parallel effectively.
  • Excellent communication and interpersonal skills.
  • Experience running teams across multiple time zones.
  • Strong problem-solving abilities and analytical skills.

Salary Range

$120,000 - $180,000 per year, depending on experience.

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