Lead AI Platform Engineer & ML Leader

Napier AI

Belfast

Hybrid

GBP 60,000 - 80,000

Full time

14 days+
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Benefits offered by this job

Comprehensive private healthcare
25 days of annual leave
Pension plan
Life Insurance
Enhanced Maternity & Paternity leave
Income protection policy
Work from anywhere for up to 1 month
Gym membership discounts
Flexible work schedules

Job summary

Napier AI is seeking a Lead Engineer to build and shape an AI engineering capability in Belfast. In this hands-on role, you will contribute to developing AI-driven systems to detect financial crime while leading a small team.

The ideal candidate has 5-7 years of experience in engineering, a strong programming background in Go and Python, and experience in integrating models into production. The position offers a hybrid work model and comprehensive benefits.

Qualifications

  • 5-7 years of experience in a senior or lead engineering role.
  • Strong experience delivering production-grade systems.
  • Experience leading engineers or acting in a technical leadership role.
  • Agile delivery experience with a focus on continuous improvement.
  • Exposure to AI/ML systems or analytics products.

Responsibilities

  • Design and implement AI-driven features within Napier's platform.
  • Contribute to development, including coding and testing.
  • Lead and mentor a team of engineers.
  • Collaborate with Product and Data teams.
  • Help define engineering standards and practices.

Skills

Programming in Go
Programming in Python
Distributed systems
Cloud platforms (AWS, Azure, GCP)
Containerization (Docker, Kubernetes)
Data pipelines
Problem-solving skills
Collaborative teamwork

Job description

Napier AI is seeking a Lead Engineer to build and shape an AI engineering capability in Belfast. In this hands-on role, you will contribute to developing AI-driven systems to detect financial crime while leading a small team.

The ideal candidate has 5-7 years of experience in engineering, a strong programming background in Go and Python, and experience in integrating models into production. The position offers a hybrid work model and comprehensive benefits.

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