Cloud Software Engineer - GSK0JP

Experis; Greater London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading tech staffing firm is seeking an AI/ML Cloud Software Engineer to develop cutting-edge software solutions. Candidates should have solid experience in cloud computing, Python, and Agile methodologies. Responsibilities include software development for web applications and integrating AI/ML components. This role will be based in Kings Cross, London, or Stevenage with a competitive daily rate.

Qualifications

• Experience with Python backend development using frameworks like FastAPI.
• Knowledge of modern software development tools and DevOps practices.
• Experience in cloud-native applications, especially in GCP and Terraform.

Responsibilities

• Develop software and infrastructure for a Python web application.
• Integrate AI/ML components with existing infrastructures.
• Ensure high-quality software implementations through best practices.

Skills

Cloud experience

Python

Agile practices

Unit testing

React frontend experience

Docker or containerized applications

Tools

Google Cloud

Terraform

Git/GitHub

Job description

AI/ML Cloud Software Engineer

Kings Cross, London, or Stevenage (2-3 days on site)

888 per day via umbrella Inside IR35

6-9 Months (may extend but TBC)

Our pharmaceutical client see a world in which advanced applications of Machine Learning and AI will allow them 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.

Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software - preferably in the AI/ML industry. Candidates should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations. Educational or professional background in the biological sciences is a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory.

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

• Software and infrastructure development for a Python web application
• Integration of AI/ML components with frontend, backend, 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:

• Cloud experience (e.g. Google Cloud and cloud run essential) including core web application infrastructure is essential
• CSED backend
• Demonstrated experience of Python backend development (e.g. using FastAPI)
• React frontend experience ideally
• Strong skills in Python
• Unit testing experience (e.g. pytest)
• IaaS knowledge (e.g. Terraform) including best practices for module development
• 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
• Hosting: GCP (GKE and Cloud Run) essential
• Deployment: Terraform and GitHub Actions - essential
• Agile Methodology

Preferred qualifications:

• Experience with Docker or containerized applications, especially architecture of multi-container applications
• 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
• Experience with Kubernetes and Google Kubernetes Engine would be an advantage