Hybrid Data Analyst & AI Engineer | LLM Pipelines

The Fuel Store

Birmingham

Híbrido

GBP 60.000 - 90.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Salary sacrifice pension
Life Assurance 3x basic salary
Health & Wellbeing: MediCash
26 days annual leave
Career progression
Location in Birmingham City Centre
Community charity support

Descripción de la vacante

The Fuel Store in Birmingham is seeking a DataAnalyst/ AI Engineer to design, build, and deploy AI-driven data solutions. You will lead end-to-end data projects, turning complex datasets into business insights and scalable AI applications.

Ideal candidates will have 5+ years' experience in data science and a strong blend of engineering and research-driven approaches, with hands-on Azure and BI tooling. This hybrid role is based in Birmingham with four days in the office.

Formación

  • Degree qualifications or demonstrable Azure environment experience.
  • Experience delivering end-to-end data science solutions in enterprise settings.
  • Strong data engineering and numerical analysis capabilities.

Responsabilidades

  • Analyse large structured and unstructured datasets to extract insights and business value.
  • Design, build, and optimise AI pipelines including LLM-powered apps and RAG systems.
  • Develop scalable production systems using Python, SQL, NoSQL and cloud APIs (Azure).
  • Develop AI assistants and automation tools to improve operational efficiency.

Conocimientos

SQL
NoSQL
FastAPI
Git
MSPowerAppSuite
LLM Agents
RAG
Azure AI
Databricks
Power BI
Excel
Copilot Studio

Educación

Degree or Azure experience

Herramientas

SQL
NoSQL
FastAPI
Git
Databricks

Descripción del empleo

The Fuel Store in Birmingham is seeking a DataAnalyst/ AI Engineer to design, build, and deploy AI-driven data solutions. You will lead end-to-end data projects, turning complex datasets into business insights and scalable AI applications.

Ideal candidates will have 5+ years' experience in data science and a strong blend of engineering and research-driven approaches, with hands-on Azure and BI tooling. This hybrid role is based in Birmingham with four days in the office.

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