Applications Consultant

University of Edinburgh
Edinburgh, United Kingdom
22 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 53K

Job location

Edinburgh, United Kingdom

Tech stack

Artificial Intelligence
C++
Databases
Information Engineering
R
Python
Machine Learning
TensorFlow
Software Engineering
Data Streaming
PyTorch
Large Language Models
Machine Learning Operations
Software Version Control
Programming Languages

Job description

Full-time: 35 hours per week

Fixed term: 3 years with possibility of extension

Up to 4 posts available

The Opportunity:

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.
  • You have experience interacting with external problem stakeholders to design, implement and deploy solutions

£41,064 to £53,301 per annum (Grade 7)

Requirements

  • 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.
  • You have experience interacting with external problem stakeholders to design, implement and deploy solutions

Apply for this position