13555- Applications Consultant

University of Edinburgh; City of Edinburgh; Hybrid; GBP 41,000 - 54,000; Full time

Job summary

A leading UK university is seeking motivated Application Developers to join their team at the National Supercomputing Centre. This role focuses on developing and deploying AI solutions in a dynamic environment. Applicants should have programming experience in Python or R, strong software engineering skills, and the ability to collaborate with external stakeholders. They are open to hybrid working arrangements combining remote and on-campus work, ensuring flexibility for the chosen candidates.

Qualifications

• Experience with Python, R, or C++.
• Competent in software engineering practices.
• Experience with databases and MLOps.

Responsibilities

• Design and develop AI solutions using machine learning.
• Deploy AI pipelines in production environments.
• Collaborate with external stakeholders.

Skills

Experience with programming languages such as Python

Software engineering skills including coding and testing frameworks

Experience using distributed infrastructure

Data engineering experience

Machine learning experience

Motivation to learn new technologies

Experience interacting with external stakeholders

Job description

Position Details

Grade UE07: £41,064 – £53,301 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. We are seeking up to four motivated Application Developers. This role is for you if you like understanding what problems other organisations are trying to solve with AI, designing solutions, developing machine‑learning/AI pipelines, and deploying these pipelines in production. You will have previous experience interacting with external stakeholders to design, implement and deploy solutions. The post is full‑time (35 hours per week) and we are open to requests for hybrid working on a non‑contractual basis that combines remote and on‑campus work.

Skills and Attributes for Success

• Experience with programming languages such as Python, R, C++
• Software engineering skills including coding, testing frameworks, version control, and documentation
• Experience using distributed infrastructure (scaling, containers)
• Data engineering experience (databases, streaming, MLOps)
• Machine learning experience (PyTorch, TensorFlow, LLM models)
• Motivation to learn and apply new technologies, tools, and methods
• Experience interacting with external stakeholders to design, implement and deploy solutions