Research Scientist AIR England, United Kingdom

The Ellison Institute of Technology (EIT) Oxford’s purpose is to have a global impact by fundamentally reimagining the way science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to humanity’s most challenging problems.

EIT Oxford will ensure scientific discoveries and pioneering science are turned into products for the benefit of society that can have high-impact worldwide and, over time, be commercialised to ensure long-term sustainability.

Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity’s most enduring challenges. Our work is guided by four Humane Endeavours:
Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics.

Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford’s science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose-built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration.

We are looking to recruita Research Scientist with expertise in large-scale machine learning. In this role you will design, train, and evaluate advanced machine learning models to support scientific and technological progress across multiple fields.

• Contribute to research projects from initial concept through to deployment in collaboration with applied and operations teams.
• Develop and train large-scale models, including those integrating multiple data types and complex datasets.
• Work with teams of scientists, clinicians, and engineers to ensure research objectives meet practical application requirements.
• Communicate research results through internal presentations and external publications, as applicable.
• Maintain high standards of code quality, reproducibility, and team collaboration practices.

• PhD or equivalent experience in Computer Science, Machine Learning, or a related discipline (eg. Physics, mathematics, and computational biology).
• Experience in designing and implementing large-scale machine learning systems, such as, aspects of model training, fine tuning, data management, and distributed computing.
• A record of impactful research as demonstrated by at least one publication in AI/ML conferences, patents, or scientific journals.
• Excellent communication skills and the willingness to work with diverse cross-functional teams while solving ambitious and complex problems in an efficient manner.

• Enhanced holiday pay
• Pension
• Life Assurance
• Income Protection
• Private Medical Insurance
• Hospital Cash Plan
• Therapy Services
• Perk Box
• Electric Car Scheme

At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact!