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Vice President, AI/Machine Learning Data Engineer @ Hackajob Ltd

Manchester, England, GBOnsiteFull-time
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About this role

Salary: £61,000 - 101,000 per year

Requirements

  • Degree in Computer Science, Mathematics, AI, Data Science, or a related quantitative field
  • Software development experience, with additional experience using 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

Responsibilities

  • Design and develop AI-powered solutions for complex enterprise data and analytics problems
  • Translate ambiguous business problems into structured AI/ML approaches and algorithms
  • Build scalable AI solution architectures, 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 designs, assumptions, and algorithms for enterprise adoption

Technologies

  • AI
  • Machine Learning
  • Excel

More

We are a global financial services and investment company operating at the heart of the global financial system, influencing nearly 20% of the worlds investible assets. Our teams use AI and emerging technologies to collaborate with clients and develop transformative solutions. We value innovation, employee growth, and exceptional talent. We are seeking a Vice President, AI / Machine Learning Data Engineer to join our Finance Engineering team in Manchester. The role focuses on developing scalable AI-enabled capabilities across data platforms and applications, taking solutions from problem formulation and model selection through integration and deployment.

last updated 45 week of 2026

Skills

Machine LearningArtificial IntelligenceData Engineeringstatistical methodsProblem SolvingCommunicationExcel

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