At a Glance
- Tasks: Lead innovative research projects in AI and develop large-scale machine learning models.
- Company: Join the Ellison Institute of Technology, a leader in impactful scientific solutions.
- Benefits: Enjoy enhanced holiday pay, private medical insurance, and a supportive work environment.
- Why this job: Make a real difference in tackling global challenges through cutting-edge technology.
- Qualifications: PhD in Computer Science or related field with experience in machine learning systems.
- Other info: Collaborative culture that values creativity, emotional intelligence, and career growth.
The predicted salary is between 36000 - 60000 £ per year.
About EIT:
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 faculty of world experts, EIT Oxford seeks to solve the world’s most challenging problems across four high-risk, high-reward, high-impact humane endeavours: health and medical science; food security and sustainable agriculture; climate change and clean energy; and government innovation in an era of artificial intelligence.
EIT Oxford is investing significant resources in a new world-class research and development facility in the Oxford Science Park. Set for completion in 2027, the state-of-the-art campus includes 300,000 sq ft of research laboratories, an oncology and preventative care clinic, and educational and meeting spaces. Together, they create the perfect environment for EIT Oxford experts to take ground-breaking ideas from research to broad implementation. The new facility will further EIT’s current partnership with the University of Oxford and become the new home for Ellison Scholars.
EIT Oxford is committed to cultivating a community where excellence is achieved through collaboration, trust, innovation and tenacity. We foster an environment where everyone’s experience and expertise are valued. We are curious and resilient in our efforts to drive long-term, sustainable innovation to meet humanity’s most enduring challenges.
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
Key Responsibilities:
- Lead significant 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.
Qualifications & Experience:
- PhD or equivalent experience in Computer Science, Machine Learning, or a related discipline.
- Proven experience in designing and implementing large-scale machine learning systems, including aspects of model training, finetuning, data management, and distributed computing.
- A record of publications or patents in the field of AI/ML or related areas.
- Experience in project leadership and mentoring junior team members.
- Excellent communication skills and the ability to solve complex problems efficiently.
Terms of Appointment:
- You must have the right to work permanently in the UK with a willingness to travel as necessary.
- You will live in, or within easy commuting distance of, Oxford.
- 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
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Research Scientist - AI employer: Ellison Institute, LLC
Contact Detail:
Ellison Institute, LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist - AI
✨Tip Number 1
Network like a pro! Reach out to people in your field, attend events, and connect with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your projects. We recommend doing mock interviews with friends or mentors to build confidence and get feedback. Remember, it’s your chance to shine!
✨Tip Number 3
Showcase your passion for AI and machine learning! When you talk about your work, let your enthusiasm shine through. We want to see how your experiences align with our mission at EIT and how you can contribute to solving real-world problems.
✨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, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Research Scientist - AI
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 led. 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 AI and how you can contribute to solving humanity's challenges. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Publications: If you've got publications or patents, make sure to mention them! This is a great way to demonstrate your expertise in AI/ML. We’re keen on seeing how your research can translate into impactful solutions.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows 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 involving model training and data management. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Collaboration Skills
EIT values teamwork, so be prepared to talk about how you've worked with scientists, clinicians, or engineers in the past. Share specific examples where your collaboration led to successful outcomes, highlighting your ability to communicate complex ideas clearly.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills. Think of challenging situations you've encountered in your research and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Be Ready to Discuss Your Publications
If you have a record of publications or patents, be ready to discuss them in detail. Explain the significance of your work and how it contributes to the field of AI/ML. This will demonstrate your expertise and commitment to advancing scientific knowledge.