# Research Engineer

> Ellison Institute of Technology · Oxford, United Kingdom (Hybrid) · Full-time · Posted 2026-06-26

**Workplace:** hybrid

**Department:** AI & Robotics

## Description

**Join us at EIT:**

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, policy makers, and entrepreneurs to tackle humanity’s greatest challenges in four transformative areas:

-   Health, Medical Science & Generative Biology
-   Food Security & Sustainable Agriculture
-   Climate Change & Managing CO₂
-   Artificial Intelligence & Robotics

This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas for lab to society. Explore more at [www.eit.org](http://www.eit.org).

**We are currently hiring for multiple positions across multiple specialised tracks.** 

This team works at multi-scale level, from molecules to patient-level data, utilizing large-scale datasets—including proteins, DNA, EHR and medical images—to design advanced ML architectures for healthcare and biological discovery.

-   **Focus:** Multimodal generative models (LLMs, diffusion, flows) across patient and biomolecular datasets,physics-based molecular modelling.
-   **Key Challenge:** Building scalable ML systems that incorporate various sources of data, long contexts and HPC simulations to solve complex biological modelling problems.
-   **Ideal Background:** Proficiency in GPU-based computing , with an advanced degree in CS, Physics, Chemistry, or Materials Science.

### **Core Responsibilities**

Regardless of the track, you will be expected to:

-   **Design & Deploy:** Build, train, and optimize advanced ML architectures and foundation models.
-   **Bridge the Gap:** Translate high-level research ideas into scalable, reliable, and reproducible systems.
-   **Collaborate:** Work in cross-disciplinary squads alongside roboticists, biologists, data domain experts and software architects.
-   **Execute:** Maintain high standards of code quality and drive the technical implementation of mission-critical projects.

## Requirements

### **Qualifications & Skills**

**Universal Requirements:**

-   Degree in Computer Science, Physics, Chemistry, or Materials Science with a strong ML focus.
-   A strong bias toward execution and impact in a mission-driven environment.
-   Mastery of deep learning frameworks (e.g., PyTorch) and experience delivering large-scale AI projects.
-   Exceptional communication skills to bridge the gap between technical and non-technical stakeholders.

**Track-Specific Expertise:**

Experience with biomolecular datasets, medical and life science imaging datasets, HPC integrations, and distributed system architectures, biomolecular modelling.

## Benefits

**We offer the following salary and benefits:**

Enhanced holiday pay

Pension

Life Assurance

Income Protection

Private Medical Insurance

Hospital Cash Plan

Therapy Services

Perk Box

Electric Car Scheme

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## Apply

[Apply at Ellison Institute of Technology](https://apply.workable.com/ellison-institute-of-technology/j/4721794E05/apply)

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