Cloud Software Engineer AI/ML Applications

Cloud Software Engineer - AI/ML Applications Location: Hybrid Central London 2/3 days week in the office Duration: 6 - 9 Months Inside IR35 - Umbrella / PAYE Type: Full-Time Overview: My client a top FMCG Company is currently looking to recruit Cloud Software Engineers to join a forward-thinking team dedicated to transforming healthcare through cutting-edge AI and Machine Learning technologies. They are seeking a talented Cloud Software Engineer to help build scalable, cloud-native applications that integrate advanced AI/ML components, driving innovation in disease treatment and personalised medicine and building an Agentic AI tool.What You'll Do:

• Develop and maintain Python-based web applications and infrastructure.
• Integrate AI/ML components with frontend, backend, data, and compute systems.
• Ensure high-quality software through automated testing and thorough documentation.
• Monitor and improve key metrics across tools and services.
• Collaborate with cross-functional teams to build end-to-end data pipelines.
• Participate in code reviews and contribute to continuous improvement.

Essential skillsets and experience for the Cloud Software Engineers Skillset 1: Python back-end experienceCSED back-endFAST API Back-end experienceREACTGCP Skillset 2: * Backend: FastAPI* Hosting: GCP (GKE and Cloud Run)* Deployment: Terraform and GitHub Actions* Agents: LangGraph and Pydantic AI (nice to have)* Frontend: React (nice to have).* HPC (HPC migration experience)General Experience:

• Bachelor's degree in a relevant field (computational, numerate, or life sciences) or equivalent experience.
• Python programming skills.
• Experience with cloud platforms (Google Cloud preferred), including web application infrastructure.
• Familiarity with unit testing frameworks (e.g. pytest).
• Infrastructure-as-Code experience (e.g. Terraform), with knowledge of best practices.
• Agile development experience and proficiency with modern DevOps tools (e.g. GitHub, CI/CD pipelines).

Preferred experience:

• Experience with containerized applications (e.g. Docker), especially multi-container architecture.
• Backend development experience using FastAPI.
• Exposure to biological or scientific data (e.g. genomics, proteomics) or pharmaceutical industry is nice to have.
• Understanding of AI/ML techniques, especially NLP and language models.
• Experience with Kubernetes and Google Kubernetes Engine.
• Some frontend development experience (e.g. React).

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.