Applications Developer

Full-time: 35 hours

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. You like to design solutions, develop machine learning/AI pipelines and deploy these pipelines in production. You can demonstrate experience in programming languages (e.g., Python, R, C++), software engineering (e.g., coding skills, testing frameworks, version control, documentation), use of distributed infrastructure (e.g., scaling, containers), data engineering (e.g., databases, streaming, MLops), and machine learning (e.g., PyTorch, TensorFlow, LLM models). You are motived to learn and apply new technologies, tools and methods. For the Application Consultant role, that you have experience interacting with external problem stakeholders to design, implement and deploy solutions.

This post is full-time (35 hours per week). 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:

• You like to understand what problems other organisations are tyring to solve with AI and like to design solutions, develop machine learning/AI pipelines and deploy these pipelines in production.
• You can demonstrate experience in programming languages (e.g., Python, R, C++), software engineering (e.g., coding skills, testing frameworks, version control, documentation).
• You have experience using distributed infrastructure (e.g., scaling, containers), data engineering (e.g., databases, streaming, MLops), and machine learning (e.g., PyTorch, TensorFlow, LLM models).
• You are motived to learn and apply new technologies, tools and methods.

£34,610 to £42,254 per annum (Grade 6)

• You like to understand what problems other organisations are tyring to solve with AI and like to design solutions, develop machine learning/AI pipelines and deploy these pipelines in production.
• You can demonstrate experience in programming languages (e.g., Python, R, C++), software engineering (e.g., coding skills, testing frameworks, version control, documentation).
• You have experience using distributed infrastructure (e.g., scaling, containers), data engineering (e.g., databases, streaming, MLops), and machine learning (e.g., PyTorch, TensorFlow, LLM models).
• You are motived to learn and apply new technologies, tools and methods.