At a Glance
- Tasks: Lead the development of advanced AI models in a vibrant academic environment.
- Company: Join the University of Edinburgh's innovative Learning Model of Life initiative.
- Benefits: Competitive salary, generous holiday, flexible work options, and comprehensive staff benefits.
- Other info: Dynamic team with opportunities for growth and collaboration in a diverse community.
- Why this job: Make a real impact on healthcare by developing cutting-edge technologies in genetics.
- Qualifications: Relevant degree or experience in AI, strong Python skills, and knowledge of NLP techniques.
The predicted salary is between 39347 - 46974 £ per year.
The Learning Model of Life is a cross-college initiative of The University of Edinburgh, supported by EPCC, the UK's leading centre of Supercomputing and Data Science. We are seeking a dynamic and innovative Machine Learning Engineer to lead the development of advanced AI models. You'll be at the forefront of creating and deploying advanced tools that harness the power of NLP and generative AI to unlock new insights in biological sciences. This is a unique opportunity to have real impact by developing technologies that will drive the next wave of breakthroughs in genetics.
You will work in a vibrant academic environment at the University of Edinburgh, surrounded by experts in biology, medicine, computing, and machine learning. You'll have freedom to innovate, support to grow, and the opportunity to contribute to research that will transform the future of healthcare and beyond.
This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.
Your Skills And Attributes For Success
- Relevant university degree in a relevant technical discipline (e.g., artificial intelligence, computer science, software engineering) or relevant post‐degree professional experience.
- Strong Python development skills, with a good knowledge of existing packages for AI/NLP development.
- A very good knowledge of existing NLP techniques, LLMs and evaluation frameworks.
- Experience of training and/or fine‐tuning custom AI/ML models.
- Evidence of having used git and associated tools (e.g. GitHub) for version control.
As a valued member of our team you can expect:
- A competitive salary of £39,347 - £46,974.
- An exciting, positive, creative, challenging and rewarding place to work.
- To be part of a diverse and vibrant international community.
- Comprehensive Staff Benefits, such as a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family‐friendly initiatives, and flexible work options.
Machine Learning Engineer in Edinburgh employer: The University of Edinburgh
The Learning Model of Life at The University of Edinburgh offers an exceptional work environment for a Machine Learning Engineer, where innovation meets collaboration in a vibrant academic setting. With access to cutting-edge resources and a supportive community, employees can thrive while contributing to groundbreaking research in biological sciences. Enjoy a competitive salary, comprehensive benefits, and the flexibility to balance work and life, making this an ideal place for those seeking meaningful and impactful employment.
Contact Details:
The University of Edinburgh Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow Machine Learning enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to NLP and generative AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and coding challenges. Practice explaining your thought process clearly, as communication is key in collaborative environments like ours at StudySmarter.
✨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 are genuinely interested in joining our vibrant community.
We think you need these skills to ace Machine Learning Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your relevant skills in Python, NLP techniques, and any experience with AI/ML models. We want to see how your background fits perfectly with what we're looking for!
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 you can contribute to our innovative projects. Be sure to mention any specific experiences that relate to the job description.
Showcase Your Projects:If you've worked on any cool projects related to AI or machine learning, make sure to include them! Whether it's a personal project or something from your previous job, we love seeing practical applications of your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at The University of Edinburgh
✨Know Your Stuff
Make sure you brush up on your Python skills and NLP techniques before the interview. Be ready to discuss specific projects where you've trained or fine-tuned AI/ML models, as this will show your hands-on experience and technical prowess.
✨Show Your Passion for Innovation
This role is all about pushing boundaries in AI and biology. Share examples of how you've innovated in past roles or projects. Talk about any unique approaches you've taken to solve problems, as this will demonstrate your creative thinking and enthusiasm for the field.
✨Familiarise Yourself with Version Control
Since you'll be using git and tools like GitHub, make sure you can confidently discuss your experience with version control. Be prepared to explain how you've used these tools in previous projects to manage code and collaborate with others.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team, the projects, and the future direction of the Learning Model of Life. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
