AI-Driven Volunteer Tech Engineer

Nottingham Trent University; Manchester; On-site; GBP 65,000 - 90,000; Full time

Job summary

TeamKinetic seeks a research-driven software engineer to contribute to an AI-powered volunteering platform as part of a KTP project with Nottingham Trent University. You will translate user needs into AI-enabled software and collaborate across teams.

Responsibilities include applied research, technical development and knowledge transfer, with regular travel between NTU and TeamKinetic to align on objectives and progress.

Qualifications

• Degree in Computer Science, AI, Data Science, Software Engineering or closely related field.
• Strong understanding of applied AI and ML methods; ability to develop and evaluate data-driven systems.
• Proficiency in software engineering principles for robust AI applications.
• Experience with data engineering and data modelling from multiple sources.
• Experience with evaluating AI and ML systems, including benchmarking.
• Understanding of responsible AI and data governance, privacy and transparency.
• Strong programming skills, especially in Python or similar languages.
• Ability to design, implement, test AI/ML solutions.
• Experience with large datasets and ETL pipelines.
• Ability to translate requirements into technical designs and communicate clearly.

Responsibilities

• Contribute to delivery of the KTP project with applied research, technical development and knowledge transfer.
• Develop AI-enabled tools for volunteering platforms.
• Work at the intersection of AI, software development and user-centred design.
• Travel between NTU and TeamKinetic on a regular basis.

Skills

Python

AI & ML

Software engineering

Data modelling

Relational databases

ETL pipelines

Technical documentation

Stakeholder communication

Education

Bachelor's and Master's degrees

Tools

Python

Database systems

Job description

TeamKinetic seeks a research-driven software engineer to contribute to an AI-powered volunteering platform as part of a KTP project with Nottingham Trent University. You will translate user needs into AI-enabled software and collaborate across teams.

Responsibilities include applied research, technical development and knowledge transfer, with regular travel between NTU and TeamKinetic to align on objectives and progress.