Software Engineer

FT Recruitment Group
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

.NET
Artificial Intelligence
Azure
C Sharp (Programming Language)
Databases
DevOps
Python
Machine Learning
SQL Databases
Systems Integration

Job description

Are you an experienced Software Engineer who would like to move into a more AI focussed role, with the opportunity to build your own team in the future...?

You'll join a long established and very successful business as they embark on their AI journey, developing existing and emerging AI technology to help efficiency through new systems and processes across all areas of the company.

This is a unique opportunity to join them as the AI Subject Matter Expert by integrating AI into existing systems.

To be considered for this role you'll possess the following skills and experience:

  • Practical experience implementing AI or RAG-type integrations

  • Solid .NET, Python, C# skills with a good understanding of SQL

  • Familiarity with Azure AI services, DevOps pipelines and containers

  • Some awareness of vector databases and production deployment

  • Some exposure to machine learning workflows and how models are applied in production

This is merely a snapshot of the job description (or wish list) and I'm happy to share the full spec if you think you're the right person for this role.

The client site is based in South Lanarkshire and you will initially be required to be on-site 5 days a week, so being able to drive is hugely beneficial for this role.

Please note that sponsorship is not available for this position so please only apply if you have full rights to live and work in the UK.

Requirements

Practical experience implementing AI or RAG-type integrations

  • Solid .NET, Python, C# skills with a good understanding of SQL

  • Familiarity with Azure AI services, DevOps pipelines and containers

  • Some awareness of vector databases and production deployment

  • Some exposure to machine learning workflows and how models are applied in production

Apply for this position