Senior AI-Driven Digital Twins Software Engineer

Earlham Institute; Norwich; Hybrid; GBP 39,000 - 53,000; Full time

Job summary

The Earlham Institute invites applications for a (Senior) Research Software Engineer to join the AI integrated Digital Twins group in Norwich, UK. You will design and build reusable software connecting mechanistic models, AI/ML components, and diverse data into robust Digital Twin research systems.

Working with researchers, you will translate novel modelling methods into high‑quality, tested software, including model training, inference pipelines, APIs and reproducible deployment across local,

Qualifications

• Degree or PhD in a quantitative field with research experience.
• PhD or equivalent research experience in a relevant area is essential.
• Strong Python, APIs, databases and scientific workflow experience are essential.
• Hands-on ML frameworks such as PyTorch, JAX or TensorFlow desirable.
• Familiarity with Linux and container technologies (Docker/Apptainer) desirable.

Responsibilities

• Design and implement software architecture for Digital Twin workflows and AI models.
• Develop Python-based research software and AI/ML pipelines across platforms.
• Build infrastructure for hybrid mechanistic–AI modelling and reproducible evaluation.
• Apply professional software practices: version control, testing, CI/CD, packaging.
• Maintain BioModels and deploy scalable online execution in cloud/HPC/GPU.
• Contribute to open-source releases and collaborations, mentoring colleagues.

Skills

Python

PyTorch

TensorFlow

JAX

APIs

Git

CI/CD

Docker

Apptainer

Linux

HPC/Cloud

Documentation

Education

PhD or equivalent research experience

Degree in computer science / software engineering / AI / computational biology

Tools

Docker

Apptainer

Git

Job description

The Earlham Institute invites applications for a (Senior) Research Software Engineer to join the AI integrated Digital Twins group in Norwich, UK. You will design and build reusable software connecting mechanistic models, AI/ML components, and diverse data into robust Digital Twin research systems.

Working with researchers, you will translate novel modelling methods into high‑quality, tested software, including model training, inference pipelines, APIs and reproducible deployment across local,