Generative AI Research Software Engineer

the-university-of-edinburgh - United Kingdom | 2024-08-24 22:59:00

UE07: £39,347.00 - £46,974.00 Per Annum.

College of Science & Engineering / School of Informatics.

Fixed Term Contract - Temporary.

Full Time - 35 Hours Per Week.

The Opportunity:

We are seeking a dynamic Generative AI Research Software Engineer to join the School of Informatics at the University of Edinburgh. This unique role will lead the development of cutting-edge Natural Language Processing (NLP) tools and applications for the Centre for Doctoral Training (CDT) in Designing Responsible NLP. You will be at the forefront of designing an innovative online platform showcasing responsible NLP practices, supporting students from diverse backgrounds in their research endeavours. This position offers the opportunity to leverage your expertise in full-stack development, AI/ML/LLM model fine-tuning, and project management. You will work closely with the CDT Director and Management Team, collaborating with PhD students to create impactful AI applications. Your contributions will shape the future of responsible AI, providing essential tools and resources to a broad audience, including industry, policy makers, and the public. If you are passionate about generative AI, committed to ethical tech practices, and eager to inspire the next generation of AI researchers, we invite you to be part of our vibrant, multidisciplinary environment at the University of Edinburgh.

This post is full time (35 hours per week) and we expect the successful candidate to be living in commutable distance to their place of work (the School of Informatics and Edinburgh Futures Institute). 

Your skills and attributes for success: 

Essential

  • Relevant university degree, in a relevant technical discipline (e.g., artificial intelligence, computer science, software engineering) or relevant post-degree professional experience (Desirable).
  • Strong web development skills in HTML, CSS, and JavaScript.
  • Strong Python development skills, with a good knowledge of existing packages for AI/NLP development.
  • A very good knowledge of existing NLP techniques, LLMs and evaluation frameworks.
  • Experience of training and/or fine-tuning custom AI/ML models.
  • Evidence of having used git and associated tools (e.g. GitHub) for version control.
  • Excellent technical problem-solving skills.
  • Strong oral and written communication skills.
  • Experience of project management.
  • Ability to understand, conceptualise and interpret the requirements of staff and students and to clearly communicate ideas to people with both technical and non-technical backgrounds.

Desirable

  • Experience with the most recent foundational language models, e.g. LLaMA-2, Vicuna, Mistral, WizardLM.
  • Experience with popular web frameworks/libraries/environments such as Django, D3.js, React, Angular, and Node.js.
  • Experience with containerisation tools such as Docker and Kubernetes.
  • Experience with database systems such as PostgreSQL, MySQL and MongoDB.
  • Proven experience of managing complex projects in academic and industrial backgrounds.
  • Experience of teaching or training learners from non-technical backgrounds in technical subjects and techniques.
  • Experience in giving visualisation tutorials and workshops

Click to view a copy of the full job description (opens new browser tab) 

For informal enquires please contact: Stefania Pasare: [email protected] 

In your application, please include an up-to-date CV and a Cover letter detailing how you meet the criteria detailed in the job description below and why you would like to work with us. 

As a valued member of the CDT in Designing Responsible NLP, you can expect:

  • An innovative environment: contribute to shaping the research environment in the newly established CDT in Designing Responsible NLP at the University of Edinburgh.
  • Collaborative projects: collaborate with our 5 Cohorts of PhD students, faculty, and our 70 partners on cutting-edge NLP and AI projects.
  • Platform development: lead the development of a public-facing platform showcasing responsible NLP practices.
  • Professional growth: engage in multidisciplinary collaboration with the Edinburgh Futures Institute, the Institute for Design Informatics, School of Informatics and our CDT partners.
  • Impactful work: Contribute to the advancement of responsible AI technologies and shape the future of AI research and education.

University of Edinburgh specific:

  • A competitive salary of £39,347 - £46,974pa
  • An exciting, positive, creative, challenging and rewarding place to work. 
  • To be part of a diverse and vibrant international community
  • Comprehensive Staff Benefits, such as a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits 

Championing equality, diversity and inclusion

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality. 

Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages (opens new browser tab)

Key dates to note

The closing date for applications is 27 August 2024.

Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone. 

Interviews will be held mid September 2024.

The University is able to sponsor the employment of international workers in this role.  If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office’s English Language requirements and apply for and secure a Skilled Worker Visa. 



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