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- Tasks: Design and evaluate advanced machine learning models for impactful research.
- Company: Join the innovative Ellison Institute of Technology in Oxford.
- Benefits: Competitive salary, enhanced holiday pay, private medical insurance, and more.
- Why this job: Make a real impact on global challenges with cutting-edge technology.
- Qualifications: PhD in relevant field and experience in large-scale machine learning systems.
- Other info: Collaborative environment that values creativity and diverse perspectives.
The predicted salary is between 36000 - 60000 £ per year.
About EIT: 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 recruit a 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.
Key Responsibilities:- 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 (e.g. Physics, mathematics, and computational biology).
- Experience in designing and implementing large-scale machine learning systems, such as aspects of model training, finetuning, 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.
During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.
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!
We offer the following salary and benefits:- Salary
- Enhanced holiday pay
- Pension
- Life Assurance
- Income Protection
- Private Medical Insurance
- Hospital Cash Plan
- Therapy Services
- Perk Box
Research Scientist 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 Scientist AIR Oxford, England, United Kingdom
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to the Ellison Institute. Attend events, join online forums, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your machine learning projects. This is a great way to demonstrate your expertise and passion for the field. Make sure it’s easy to navigate and highlights your best work!
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as you’ll need to collaborate with diverse teams at EIT. Mock interviews can help you get comfortable with this!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Tailor your CV and cover letter to highlight how your experience aligns with EIT’s mission and values. Let’s get you that Research Scientist role!
We think you need these skills to ace Research Scientist AIR Oxford, England, United Kingdom
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Scientist role. Highlight your experience in large-scale machine learning and any relevant projects you've worked on. We want to see how your skills align with our mission at EIT!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background fits with our goals. Don’t forget to mention your collaborative spirit, as we value teamwork here at EIT.
Showcase Your Research Impact: If you have publications or patents, make sure to include them! We love seeing evidence of impactful research. It shows us that you can contribute to our ambitious projects and help drive innovation at EIT.
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, it shows us you’re serious about joining our team at EIT!
How to prepare for a job interview at Ellison Institute, LLC
✨Know Your Stuff
Make sure you brush up on your knowledge of large-scale machine learning systems. Be ready to discuss your previous projects, especially those that involved model training and data management. This will show that you’re not just familiar with the theory but have practical experience too.
✨Show Your Collaborative Spirit
Since the role involves working with diverse teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve contributed to team objectives, as this aligns with the institute's emphasis on teamwork.
✨Prepare for Technical Questions
Expect some technical questions related to machine learning models and their applications. Brush up on key concepts and be ready to explain your thought process when designing and evaluating models. This will demonstrate your expertise and problem-solving abilities.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the research projects you might be involved in or the collaborative tools the team uses. This shows your genuine interest in the role and helps you assess if the environment is a good fit for you.
