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16 часов назад

Senior AI Engineer (Fintech)

72 702 - 80 780GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR

Senior AI Engineer (Fintech): Developing and scaling AI-driven financial capabilities with an accent on AI Agent architecture and lifecycle management. Focus on building production-grade AI solutions, implementing MLOps pipelines, and ensuring system scalability within a cloud-native banking environment.

Location: Must be based in Manchester; hybrid work style (40% office attendance required).

Salary: £72,702 - £80,780

Company

A major financial institution transforming banking through technology and innovation.

What you will do

  • Design, build, and deploy scalable AI-powered applications, prioritizing the development of AI Agents.
  • Manage the end-to-end lifecycle of AI solutions from data ingestion to model deployment and monitoring.
  • Implement and maintain MLOps pipelines for automated training and evaluation of predictive algorithms.
  • Collaborate with data scientists and product owners to translate business requirements into production-grade software.
  • Write maintainable, high-quality code in Python or TypeScript.
  • Ensure security, scalability, and observability of AI systems in a cloud-native environment.

Requirements

  • Location: Must be based in Manchester and able to work on-site at least 40% of the time.
  • Proven experience in a software engineering role focused on application deployment.
  • Strong proficiency in Python or Node.js with TypeScript.
  • Hands-on experience with cloud platforms (GCP, Azure, or AWS) and cloud-native architectures.
  • Experience with containerization (Docker) and orchestration (Kubernetes).
  • Foundational understanding of machine learning lifecycles and AI concepts (LLMs, GenAI).

Nice to have

  • Practical experience with Agentic AI frameworks like LangChain, CrewAI, or Google ADK.
  • Familiarity with MLOps tools such as MLflow or Kubeflow.
  • Data engineering experience using BigQuery or similar storage/processing technologies.
  • Experience with data processing frameworks like TensorFlow, PyTorch, or scikit-learn.

Culture & Benefits

  • Generous pension contribution of up to 15%.
  • Annual performance-related bonus and share schemes.
  • 30 days holiday plus bank holidays.
  • Comprehensive parental leave and health wellbeing initiatives.
  • Inclusive culture focused on diversity and individual development.

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