At a Glance
- Tasks: Build automated tools for critical clinical and biological datasets to advance AI models.
- Company: The University of Edinburgh, a vibrant academic environment with a creative team.
- Benefits: Competitive salary, flexible working options, and opportunities for transformative research.
- Other info: Full-time role with excellent career growth potential.
- Why this job: Join a pioneering initiative and make a real impact in biological science.
- Qualifications: Experience in software development and a passion for AI/ML.
The predicted salary is between 33882 - 39105 £ per year.
The University of Edinburgh is seeking a dedicated Software Developer to join the Learning Model of Life initiative. This role involves building automated tools for critical clinical and biological datasets, essential for advancing AI models in biological science.
Offering full-time and flexible working options, the position provides a competitive salary ranging from £33,882 to £39,105. Join a creative team in a vibrant academic environment and contribute to transformative research.
AI/ML Software Engineer - Research & Data Tools (Hybrid) employer: The University of Edinburgh
The University of Edinburgh is an exceptional employer, offering a dynamic and supportive work culture that fosters innovation and collaboration. With flexible working options and a commitment to employee growth, you will have the opportunity to contribute to groundbreaking research while enjoying a competitive salary and the vibrant atmosphere of a leading academic institution.
Contact Details:
The University of Edinburgh Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Software Engineer - Research & Data Tools (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current employees at the University of Edinburgh or connect with alumni from your university. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects related to AI and ML. We want to see how you’ve tackled real-world problems, especially in clinical and biological datasets.
✨Tip Number 3
Ace the interview! Research common interview questions for software developers in AI/ML roles. Practise your answers, but also be ready to think on your feet. We love candidates who can adapt and innovate!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive tips and resources available there to help you stand out in the process.
We think you need these skills to ace AI/ML Software Engineer - Research & Data Tools (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI/ML Software Engineer role. Highlight any relevant projects or tools you've worked on, especially those related to clinical and biological datasets.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit for the Learning Model of Life initiative. Be genuine and let your enthusiasm show!
Showcase Your Technical Skills:Don’t forget to mention your technical skills in your application. Whether it's programming languages, frameworks, or specific AI/ML tools, make sure we see what you bring to the table. We love seeing candidates who are well-versed in the latest technologies!
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 keen on joining our vibrant team at the University of Edinburgh!
How to prepare for a job interview at The University of Edinburgh
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss specific projects you've worked on, especially those involving automated tools or datasets, as this will show your practical experience.
✨Understand the University’s Vision
Familiarise yourself with the Learning Model of Life initiative and the University of Edinburgh's goals. This will help you align your answers with their mission and demonstrate your genuine interest in contributing to transformative research.
✨Prepare for Technical Questions
Expect technical questions that assess your coding skills and problem-solving abilities. Practise coding challenges related to data tools and algorithms, as well as discussing your thought process when tackling complex problems.
✨Show Your Team Spirit
Since this role is in a creative team environment, be prepared to talk about your collaboration experiences. Share examples of how you've worked effectively with others, especially in academic or research settings, to highlight your teamwork skills.
