Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop AI models and infrastructure to advance marine sciences.
- Company: Leading research institution focused on innovative environmental solutions.
- Benefits: Hybrid working model, professional development, and vibrant research community.
- Why this job: Make a real impact in marine science while collaborating with experts.
- Qualifications: Extensive experience in AI and data science, especially in environmental contexts.
- Other info: Join a dynamic team dedicated to innovation and research excellence.
The predicted salary is between 36000 - 60000 £ per year.
A prominent research institution is seeking an AI Research Software Engineer to develop infrastructure and models that advance marine sciences. This mid-senior level role involves working closely with software engineers and scientists, fostering innovation and research impact.
The ideal candidate will have extensive experience in AI and data science, particularly in environmental contexts. The position offers a hybrid working model with locations in Southampton and Liverpool, providing opportunities for professional development and collaboration in a vibrant research community.
AI Research Software Engineer — Ocean Science Impact in Liverpool employer: National Oceanography Centre
Contact Detail:
National Oceanography Centre Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Software Engineer — Ocean Science Impact in Liverpool
✨Tip Number 1
Network like a pro! Reach out to professionals in marine sciences and AI on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Showcase your projects! Create a portfolio that highlights your work in AI and data science, especially any projects related to environmental contexts. This will make you stand out during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI models. Practice common interview questions and be ready to discuss your thought process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job in AI research. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace AI Research Software Engineer — Ocean Science Impact in Liverpool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and data science, especially in environmental contexts. We want to see how your skills align with the marine sciences focus of the role!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about advancing marine sciences and how you can contribute to our vibrant research community.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Share examples that demonstrate your expertise in developing infrastructure and models, as this will really catch our eye.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at National Oceanography Centre
✨Know Your AI Inside Out
Make sure you brush up on your AI and data science knowledge, especially as it relates to environmental contexts. Be ready to discuss specific projects you've worked on and how they can translate to marine sciences.
✨Showcase Your Collaboration Skills
Since this role involves working closely with software engineers and scientists, prepare examples of how you've successfully collaborated in the past. Highlight any interdisciplinary projects that demonstrate your ability to foster innovation.
✨Understand the Research Institution's Goals
Do your homework on the research institution and its impact on marine sciences. Familiarise yourself with their recent projects and publications, so you can discuss how your skills align with their mission during the interview.
✨Prepare for Technical Questions
Expect technical questions related to AI infrastructure and model development. Practice explaining complex concepts in simple terms, as you may need to communicate your ideas to non-technical team members.
