At a Glance
- Tasks: Design and deploy AI solutions while collaborating with diverse teams.
- Company: Join EPCC, the UK's National Supercomputing Centre, renowned for innovation.
- Benefits: Competitive salary, flexible work options, and comprehensive staff benefits.
- Other info: Dynamic environment with opportunities for professional growth and collaboration.
- Why this job: Make a real impact in AI and machine learning at a leading institution.
- Qualifications: Strong programming skills in Python, R, or C++ and experience with AI frameworks.
The predicted salary is between 35000 - 50000 £ per year.
Applications Consultant Grade UE07: £41,064 – £48,822 per annum
EPCC, College of Science and Engineering
Full-time: 35 hours per week
Fixed term: 3 years with possibility of extension
Up to 4 posts available
The Opportunity
Join EPCC, the UK’s National Supercomputing Centre, in a highly technological and fast‑moving field. This role is for you if you enjoy understanding the problems other organisations face with AI, designing solutions, developing machine‑learning/AI pipelines and deploying these pipelines in production. You will have experience in programming languages such as Python, R, C++, software engineering, distributed infrastructure, data engineering, and machine learning frameworks such as PyTorch, TensorFlow and LLM models. You are motivated to learn new technologies and have prior experience interacting with external stakeholders to design, implement and deploy solutions.
Responsibilities
- Understand and analyse the AI needs of external stakeholders.
- Design, develop and deploy scalable machine‑learning pipelines.
- Write clean, testable code and maintain documentation.
- Use version control, containerisation and orchestrations for productionisation.
- Collaborate with data engineers and business users to shape requirements.
- Stay current with emerging AI/ML technologies and integrate them where appropriate.
Skills and Attributes for Success
- Strong programming experience in Python, R or C++.
- Proficiency in software engineering practices (testing, version control, documentation).
- Experience with distributed infrastructure (scaling, containers).
- Data engineering knowledge (databases, streaming, MLops).
- Machine‑learning expertise (PyTorch, TensorFlow, LLMs).
- Excellent communication and stakeholder engagement skills.
- Self‑motivated and a quick learner.
Application Information
Please submit a CV and a cover letter.
Benefits
- Competitive salary.
- Opportunity to work in a diverse and internationally recognised community.
- Comprehensive staff benefits including holiday entitlement, pension scheme, staff discounts, family‑friendly initiatives and flexible work options.
Equality, Diversity and Inclusion
The University of Edinburgh holds a Silver Athena SWAN award, is a member of the Race Equality Charter and a Stonewall Scotland Diversity Champion. Please provide evidence of your right to work in the UK where required.
Key Dates
Closing date for applications: 15 January 2026 (11:59 pm GMT).
About the University
The University of Edinburgh is a world‑leading research‑intensive university dedicated to addressing tomorrow’s greatest challenges. From research to teaching and innovation it partners with academia, industry and local communities worldwide.
About the Team
EPCC is the world’s leading super‑computing centre, part of the College of Science and Engineering. It collaborates with the Bayes Centre, Alan Turing Institute, Rosalind Franklin Institute and other national initiatives.
Applications Consultant employer: The University of Edinburgh
Join the University of Edinburgh's EPCC, a world-renowned supercomputing centre, where you will thrive in a dynamic and innovative environment. With a commitment to employee growth, we offer comprehensive benefits, including flexible work options and family-friendly initiatives, fostering a diverse and inclusive culture. Here, you will have the opportunity to collaborate with leading experts and engage with cutting-edge AI technologies, making a meaningful impact in the field.
Contact Details:
The University of Edinburgh Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Applications Consultant
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with EPCC folks on LinkedIn. You never know who might give you a heads-up about an opportunity or refer you directly!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, R, or machine learning frameworks. 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 your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with stakeholders. Mock interviews can be a game-changer!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye on our job postings regularly; new opportunities pop up all the time at EPCC!
We think you need these skills to ace Applications Consultant
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights the skills and experiences that match the job description. We want to see your programming prowess in Python, R, or C++, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background aligns with our needs at EPCC. Let us know how you’ve tackled similar challenges before.
Showcase Your Technical Skills:Don’t forget to mention your experience with machine learning frameworks like PyTorch and TensorFlow. We love seeing candidates who are up-to-date with emerging technologies, so share any recent projects or learning experiences!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way to ensure your application gets into the right hands quickly!
How to prepare for a job interview at The University of Edinburgh
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python, R, and C++. Be ready to discuss your experience with machine learning frameworks like PyTorch and TensorFlow. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to coding.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about specific projects where you designed and deployed machine-learning pipelines. This will demonstrate your ability to understand and analyse AI needs effectively.
✨Communicate Like a Pro
Since this role involves interacting with external stakeholders, practice explaining technical concepts in simple terms. You want to show that you can bridge the gap between tech and non-tech folks. Good communication can set you apart from other candidates.
✨Stay Current with Trends
Familiarise yourself with the latest trends in AI and machine learning. Be prepared to discuss how you’ve integrated new technologies into your work. Showing that you’re proactive about learning will impress them and highlight your motivation.
