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- Tasks: Design and implement advanced ML architectures using large-scale datasets.
- Company: Join the innovative Ellison Institute of Technology in Oxford.
- Benefits: Enjoy enhanced holiday pay, private medical insurance, and a supportive work environment.
- Why this job: Make a real impact on humanity's challenges through cutting-edge research and technology.
- Qualifications: Advanced degree in relevant fields with hands-on ML experience required.
- Other info: Collaborative culture that values creativity, curiosity, and excellence.
The predicted salary is between 36000 - 60000 £ per year.
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.
Job summary: We are looking for Research Engineers who will work with large scale datasets from different modalities, including biomolecular data, such as proteins and DNA, 2D and 3D images or graph-structured data. You will design and implement advanced ML architectures and workflows encompassing multimodal generative models and physics-based modelling.
Responsibilities:
- Design and implement advanced ML architectures.
- Develop robust model evaluation pipelines.
- Optimize model architectures for performance and reliability.
- Drive best practices in code quality, reproducibility, and collaboration.
- Build and maintain large-scale ML systems that process biomolecule datasets.
- Work with domain specialists to incorporate wet lab data and HPC simulations.
- Help to build and maintain large-scale generative models of molecular data.
Qualifications:
- Advanced degree in Computer Science, Physics, Chemistry, or Materials Science with a strong ML focus.
- Hands‑on experience in GPU‑based computing, HPC integrations, and distributed system architectures.
- Proficiency with deep learning frameworks (e.g. PyTorch) and scientific software (e.g., molecular simulation).
- Strong understanding of data modeling and pipeline optimization for large‑scale experiments.
- Ability to collaborate effectively with multidisciplinary teams and communicate complex concepts clearly.
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
Why work for EIT: 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!
Research Engineer AIR Oxford, England, United Kingdom employer: Ellison Institute, LLC
Contact Detail:
Ellison Institute, LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer AIR Oxford, England, United Kingdom
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, or even hit up LinkedIn. The more you engage, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and achievements. This is your chance to demonstrate your expertise in ML architectures and data processing, so make it shine!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to your field. Think about how you can explain complex concepts clearly, especially when collaborating with multidisciplinary teams. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact. Your next big opportunity could be just a click away!
We think you need these skills to ace Research Engineer AIR Oxford, England, United Kingdom
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Research Engineer role. Highlight your hands-on experience with ML architectures and any relevant projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the work we do at EIT and how your background makes you a perfect fit. Be genuine and let your personality come through – we love to see enthusiasm!
Showcase Your Technical Skills: Don’t forget to mention your proficiency with deep learning frameworks like PyTorch and any experience with GPU-based computing. We’re looking for candidates who can hit the ground running, so make sure these skills stand out in your application.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details you need about the role and our team!
How to prepare for a job interview at Ellison Institute, LLC
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning architectures and the specific technologies mentioned in the job description, like PyTorch and GPU-based computing. Being able to discuss your hands-on experience with these tools will show that you're not just familiar with the theory but can apply it practically.
✨Showcase Your Collaboration Skills
Since the role involves working with multidisciplinary teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you communicated complex concepts clearly to non-technical team members, as this will demonstrate your ability to work effectively in a diverse environment.
✨Prepare for Technical Questions
Expect some technical questions related to model evaluation pipelines and data modelling. Brush up on your understanding of these concepts and be ready to explain your thought process when designing and optimising ML systems. Practising with mock interviews can help you articulate your ideas more clearly.
✨Align with Their Values
The Ellison Institute values emotional intelligence, empathy, and resilience. During the interview, try to weave in how you embody these traits in your work. Share stories that reflect your curiosity and commitment to excellence, as this will resonate well with their mission and culture.
