ML & AI Backend Engineer – Python, Cloud

Experis (Austria); Greater London; On-site; GBP 111,000 - 125,000; Full time

Job summary

Experis (Austria) in London is seeking a Machine Learning and AI Developer to build backend Python web applications and deploy AI/ML components within cloud infrastructure. The role focuses on delivering high-quality software with automated tests and clear documentation in a fast-paced environment.

You'll collaborate across data, frontend, and compute teams, implementing end-to-end ML pipelines, and shaping the technical roadmap while adhering to DevOps best practices and agile methodologies.

Qualifications

• Bachelor's degree in a relevant field or equivalent experience.
• Cloud experience (e.g. Google Cloud) including core web app infrastructure.
• Strong skills in Python.
• Unit testing experience (pytest).
• Terraform for infrastructure as code definition.
• Knowledge of agile practices in software development.
• Knowledge of modern software development tools (git/GitHub, DevOps deployment).
• Demonstrated experience with Python backend development (e.g. FastAPI).

Responsibilities

• Back end development for a Python web application.
• Infrastructure definition and deployment within the client's cloud environment.
• Integration of AI/ML components with frontend, data and compute infrastructure.
• Responsible for high quality software implementations with automated tests and documentation.
• Develop, measure, and monitor key metrics for tools and services.

Skills

Python

Unit testing (pytest)

Cloud experience (Google Cloud)

Agile practices

Git / GitHub

DevOps concepts

Frontend basics (React / Vue)

Education

Bachelor's degree in a relevant field

Tools

Terraform

Docker

FastAPI

GitHub

Job description

Experis (Austria) in London is seeking a Machine Learning and AI Developer to build backend Python web applications and deploy AI/ML components within cloud infrastructure. The role focuses on delivering high-quality software with automated tests and clear documentation in a fast-paced environment.

You'll collaborate across data, frontend, and compute teams, implementing end-to-end ML pipelines, and shaping the technical roadmap while adhering to DevOps best practices and agile methodologies.