Назад
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19 дней назад

Staff Engineer (Data/AI)

100 000 - 120 000GBP
Формат работы
remote
Тип работы
fulltime
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Engineer (Data/AI): Driving architecture and technical strategy for the Data domain with an accent on transactional-to-analytical data pipelines and AI integration. Focus on architecting infrastructure for LLM orchestration, RAG, and real-time model inference at scale while mentoring technical leadership.

Location: Remote. Note: Visa sponsorship is not available.

Salary: £100,000 - £120,000

Company

hirify.global provides MIS and school management tools to over 12,000 schools, focusing on transforming school operations through actionable data insights.

What you will do

  • Define and evangelize target architectures bridging transactional, analytical, and AI systems.
  • Lead the end-to-end data lifecycle, from OLTP schema design to OLAP governance and analytics.
  • Partner with Product Directors and Technical Leads to align commercial goals with engineering deliverables.
  • Architect infrastructure for LLM orchestration, RAG, and real-time model inference.
  • Mentor and coach Technical Leads and Senior Engineers on architectural excellence.
  • Collaborate with engineering leadership to shape broader technology strategy and resolve systemic bottlenecks.

Requirements

  • Must have the right to work in the UK as visa sponsorship is not provided.
  • Extensive experience overseeing data architecture and delivering outcomes across OLAP domains.
  • Strong understanding of data modeling techniques and distributed systems in cloud-native environments like Snowflake.
  • Practical knowledge of DataOps principles, CI/CD for data, and pipeline orchestration.
  • Demonstrable experience in optimizing SaaS platform spend and financial forecasting.
  • Experience communicating and influencing across both technical and non-technical audiences.

Nice to have

  • Experience with AI/ML Engineering, MLOps, and model deployment.
  • Direct experience with LLM Ops, prompt engineering at scale, and token cost optimization.
  • Knowledge of federated learning or privacy-enhancing technologies.

Culture & Benefits

  • 32 days of holiday (including bank holidays) plus extra company-wide days.
  • Private dental insurance and comprehensive wellness benefits via AIG Smart Health.
  • Salary sacrifice pension scheme provided by Scottish Widows.
  • Enhanced maternity, adoption, and paternity pay.
  • Dedicated professional development budget for CPD and upskilling.
  • Flexible working environment with a focus on wellbeing and mental health support.

Hiring process

  • Phone screen
  • 1st stage interview
  • 2nd stage interview

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