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- Tasks: Design and deploy advanced ML architectures to tackle real-world challenges.
- Company: Join the innovative Ellison Institute of Technology, where science meets impact.
- Benefits: Enjoy enhanced holiday pay, private medical insurance, and a range of perks.
- Why this job: Make a difference in health, AI, and climate change with cutting-edge technology.
- Qualifications: Degree in relevant fields with strong ML focus and deep learning expertise.
- Other info: Collaborate with diverse teams and enjoy excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
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 COâ‚‚
- 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.
We are currently hiring for multiple positions across multiple specialised tracks.
Foundation Models for Embodied AIThis team focuses on developing the next generation multimodal models that connect virtual and physical environments. You will advance the frontier of scientific workflows by integrating AI with robotics and sensor data with the goal to advance scientific discovery.
- Focus: LLMs, VLMs, and Vision-Language-Action (VLA) models.
- Key Challenge: Developing multi-modal models and agentic AI that can reason across modalities and translate digital intelligence into physical-world impact.
- Ideal Background: Experience with large scale autoregressive models, deep reinforcement learning, generative models, multimodal models and/or robotics-related AI systems.
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.
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.
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.
- For Embodied AI: Demonstrated excellence in delivering multimodal or agentic AI systems; experience with robotics hardware or simulation is a significant bonus.
- For Health: Experience with biomolecular datasets, medical and life science imaging datasets, HPC integrations, and distributed system architectures, biomolecular modelling.
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
Research Engineer (D in Oxford employer: Ellison Institute of Technology
Contact Detail:
Ellison Institute of Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer (D in Oxford
✨Tip Number 1
Network like a pro! Reach out to people in your field, attend industry events, and connect with EIT folks on LinkedIn. Building relationships can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and robotics. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to research engineering. Think about how your experience aligns with EIT's mission and be ready to discuss it passionately!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our innovative team at EIT.
We think you need these skills to ace Research Engineer (D in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Engineer role. Highlight relevant experience and skills that match the job description, especially in ML architectures and AI systems. 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 aligns with our goals. Be genuine and let your enthusiasm for the role come through.
Showcase Your Projects: If you've worked on any projects related to AI, robotics, or ML, make sure to showcase them in your application. We love seeing real-world applications of your skills, so include links or descriptions that demonstrate your impact.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. 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 of Technology
✨Know Your Stuff
Make sure you brush up on the latest advancements in AI, robotics, and multimodal models. Familiarise yourself with the specific technologies mentioned in the job description, like LLMs and deep reinforcement learning. This will show your genuine interest and expertise in the field.
✨Showcase Your Projects
Prepare to discuss any relevant projects you've worked on, especially those involving large-scale AI systems or biomolecular datasets. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Communicate Clearly
Since the role requires bridging the gap between technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Use examples from your past experiences to illustrate your points. Good communication can set you apart from other candidates.
✨Emphasise Collaboration
Highlight your ability to work in cross-disciplinary teams. Share examples of how you've collaborated with others, whether they were roboticists, biologists, or software architects. This will show that you can thrive in EIT's collaborative environment and contribute to their mission.