Machine Learning and AI Developer

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

Machine Learning and AI Developer
London
£600 - £680

The client see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI. We're looking for a highly skilled software engineer to help us make this vision a reality.

The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one.

Key responsibilities

• Back end development for a Python web application
• Infrastructure definition and deployment within the clients cloud environment
• Integration of AI/ML components with frontend, data and compute infrastructure
• Responsible for high quality software implementations according to best practices, including automated test suites and documentation
• Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them
• Participate in code reviews, continuously improving personal standards as well as the wider team and product
• Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products

Basic qualifications:

• Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience
• Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure
• Strong skills in Python
• Unit testing experience (e.g. pytest)
• Terraform for infrastructure as code definition
• Knowledge of agile practices and able to perform in agile software development environments
• Strong knowledge of modern software development tools / ways of working (e.g. git/GitHub, DevOps tools for deployment) - should be able to show practice of commit early and deploy often

Preferred qualifications:

• Demonstrated experience of Python backend development (e.g. using FastAPI)
• Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience
• Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP and agent-based approaches
• Experience with Docker or containerized applications, especially architecture of multi-container applications
• Technical leadership and experience leading development projects and/or teams is preferred. Huge bonus points for experience leading large software projects involving multiple cross-functional teams/stakeholders.
• Experience upholding software/production best practices, as well as mentorship/coaching is strongly preferred. A willingness and demonstrated ability in these domains are sufficient.
• Some experience with frontend software development (e.g. React, Vue)