At a Glance
- Tasks: Lead the development of advanced AI models in NLP and genomics.
- Company: The University of Edinburgh, a leader in biological sciences and AI research.
- Benefits: Flexible working options, competitive salary, generous holidays, and pension scheme.
- Other info: Join a dynamic team with opportunities for professional growth.
- Why this job: Make breakthroughs in biological sciences with cutting-edge AI technology.
- Qualifications: Experience in machine learning and a passion for AI applications.
The predicted salary is between 39347 - 46974 £ per year.
The University of Edinburgh is seeking a dynamic Machine Learning Engineer to lead the development of advanced AI models. You'll create and deploy tools that leverage NLP and generative AI, driving breakthroughs in biological sciences.
This full-time position offers flexible working options, a competitive salary of £39,347 - £46,974, and comprehensive staff benefits such as generous holidays and a defined benefits pension scheme.
ML Engineer — NLP & Genomics (Hybrid/Remote Options) in Edinburgh employer: The University of Edinburgh
The University of Edinburgh is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the field of AI and biological sciences. With flexible working options, competitive salaries, and comprehensive benefits including generous holidays and a defined benefits pension scheme, employees are supported in their professional growth and well-being. Join us to be part of a prestigious institution that values your contributions and encourages meaningful advancements in technology and research.
Contact Details:
The University of Edinburgh Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer — NLP & Genomics (Hybrid/Remote Options) in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of machine learning and AI, especially those working in NLP and genomics. Join relevant online communities or attend meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to NLP and generative AI. This could be anything from GitHub repositories to blog posts explaining your work. It’s a great way to demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common ML interview questions and be ready to discuss your past projects in detail. Remember, they want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace ML Engineer — NLP & Genomics (Hybrid/Remote Options) in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with NLP and generative AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in biological sciences and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any cool projects related to machine learning, especially in NLP or genomics, make sure to mention them. We’re keen to see practical examples of your work that demonstrate your expertise.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at The University of Edinburgh
✨Know Your NLP and Genomics
Make sure you brush up on the latest trends and technologies in Natural Language Processing and genomics. Be ready to discuss specific projects or models you've worked on, as well as how they relate to the role at the University of Edinburgh.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach a complex problem in AI or machine learning, and be ready to explain your thought process clearly and logically.
✨Familiarise Yourself with Their Work
Research the University of Edinburgh's recent projects and publications in AI and biological sciences. This will not only help you understand their goals but also allow you to ask insightful questions that demonstrate your genuine interest in their work.
✨Highlight Your Teamwork Experience
Since this role involves collaboration, be prepared to share examples of how you've successfully worked in teams. Discuss any cross-disciplinary projects you've been part of, especially those that involved both technical and scientific expertise.
