AI Automation Engineer - Hybrid Pharma Tech

Talentmark

Welwyn Garden City

Hybrid

GBP 70,000 - 111,000

Part time

2 days ago
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Job summary

Talentmark are recruiting for an AI Automation/Application Engineer to join a company in the pharmaceutical industry on a contract basis for 12 months. This role is hybrid, with the office in Welwyn Garden City.

You will build AI skills and agents, develop dashboards in R Shiny (or Shiny for Python), and automate repetitive steps across business tools. You will also create data pipelines and write tested, documented code for regulated use cases with QA and Compliance.

Qualifications

  • Degree in Computer Science, Engineering, Data Science, Information Systems or equivalent.
  • Experience building data applications, automations or internal tools for business teams.
  • Strong Python for scripting and data processing; solid R for Shiny apps.
  • Good SQL and REST API integration experience.
  • Experience with LLM APIs or AI tooling and prompt design.

Responsibilities

  • Build and maintain AI skills and agents to automate repetitive tasks.
  • Develop dashboards in R Shiny (or Python Shiny) with AI assistants.
  • Automate manual steps across tools and data sources.
  • Create data pipelines to pull and clean data for insights.
  • Write tested, documented code and provide validation for regulated use cases.
  • Run user testing, train teams, gather feedback and maintain tools.

Skills

Python scripting
R Shiny
SQL
REST APIs
LLM / AI tools
Git
Non-technical stakeholder friendly

Education

CS/Engineering/Data Science degree or equivalent

Tools

Shiny
Python
Snowflake
Docker
Git
REST APIs

Job description

Talentmark are recruiting for an AI Automation/Application Engineer to join a company in the pharmaceutical industry on a contract basis for 12 months. This role is hybrid, with the office in Welwyn Garden City.

You will build AI skills and agents, develop dashboards in R Shiny (or Shiny for Python), and automate repetitive steps across business tools. You will also create data pipelines and write tested, documented code for regulated use cases with QA and Compliance.

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