Senior AI & Data Platform Software Engineer - London

Medtronic plc

City Of London

On-site

GBP 77,000 - 115,000

Full time

14 days+

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Job summary

Medtronic plc in London is seeking a Senior Software Engineer for the AI and Data Science Platform team. You will design, build and maintain a SaaS tool (Python) for project, data and annotations management used by internal stakeholders, enabling scalable workflows.

You will collaborate with data and platform engineers, define software requirements, and validate features in an iterative, quality-driven environment. Strong Python skills and production-grade delivery are essential.

Qualifications

  • BSc or MSc in relevant field.
  • Experience delivering production‑quality code in industry.
  • Strong Python skills and best practices for high‑quality code.
  • Experience using Git to contribute to production codebases.
  • Awareness of CI/CD, Docker and DevOps practices.
  • Awareness of cloud infrastructure (AWS, GCP).
  • Willingness to commute to London 2 days per week.
  • Experience with Kanban/Scrum and SaaS features leveraging LLM agents is preferred.
  • Familiarity with infrastructure-as-code tools such as Terraform would be a plus.

Responsibilities

  • Contribute to design, development and maintenance of the SaaS tool (Python) for project, data and annotations management.
  • Collaborate with data and platform engineers to build efficient data handling processes.
  • Define software requirements and validate features in a fast-paced, quality-driven environment.

Skills

Python programming
Production-quality code
Git version control
DevOps awareness
Cloud infrastructure awareness
Agile (Kanban/Scrum)
SaaS/LLM exposure

Education

BSc or MSc in a relevant field

Tools

Python
Git
Docker
Terraform
AWS
GCP
CI/CD

Job description

Medtronic plc in London is seeking a Senior Software Engineer for the AI and Data Science Platform team. You will design, build and maintain a SaaS tool (Python) for project, data and annotations management used by internal stakeholders, enabling scalable workflows.

You will collaborate with data and platform engineers, define software requirements, and validate features in an iterative, quality-driven environment. Strong Python skills and production-grade delivery are essential.

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