AddressGrade - UE07 £37,099 - £44,263 per annum (A revised salary range for this grade of £39,347 - £46,974 is planned to take effect from Spring 2024)
College of Science & Engineering - EPCC
Full time (35 hours/week)
Open ended (Permanent)
EPCC, the UK’s leading High-Performance Computing and Data Analytics centre at the University of Edinburgh, is growing our team of Software Engineers and Data Scientists, with a focus on delivery of data science services using ML and DevOps practices. Since 2015, EPCC has run the complex systems that underpin the Scottish National Safe Haven, a secure environment to support public-benefit research with sensitive data. Throughout the pandemic we were integral to the processing of COVID-19 research across the UK.
Building on this success, we are expanding our Safe Haven Services as part of the Edinburgh International Data Facility (EIDF) ( https://www.ed.ac.uk/edinburgh-international-data-facility ) at our Advanced Computing Facility ( https://www.youtube.com/watch?v=tlnHgI0weWQ).
EIDF will support new “Trusted Research Environments” and expand Safe Haven capabilities, including new-generation GPU clusters, large memory systems, virtualisation services and multi petabyte-scale storage services. This is to support University, Scottish and UK research in health, government, finance and more.
This infrastructure, combined with data science software stacks delivered in partnership with Software Engineers and collaborative research partners underpin Edinburgh’s ambition to be the data capital of Europe.
If you have skills in some of our key areas and are interested in joining one of Europe’s premier High-Performance Computing centres at this exciting time, we’d love to hear from you.
We are looking for:
- Team members that span Software Engineering and Data Science to deliver and support new services and technologies.
- People who can demonstrate skills in data science languages Python and R, and software engineering (e.g., coding skills, testing frameworks, version control, use of distributed infrastructure (e.g., Kubernetes, containers), data engineering (e.g., databases, streaming, MLops), and machine learning (e.g., PyTorch, TensorFlow, LLM models).
- People who can demonstrate the ability to interact with users of services and software to deliver results that satisfy user requirements.
- People who can demonstrate the ability to deliver well-documented designs and implementations of software, data pipelines and analytical methods.
- People with an awareness of information security and governance because EPCC must meet globally recognised ISO accreditation standards for it to continue to deliver secure “Trusted Research Environments”.
Join our amazing team and be part of something unique.
Click here https://uoe.sharepoint.com/:w:/s/jobdescriptionlibrary/EXYyeVMLITpMnUbZSQmyYssBwn4GBuuvf7sIFX8kFOBDvQ to view a copy of the full job description
As a valued member of our team you can expect:
An exciting, positive, creative, challenging and rewarding place to work. We give you support, nurture your talent and reward success. You will benefit from a competitive reward package and a wide range of staff benefits, which includes a generous holiday entitlement, a defined benefits pension scheme , staff discounts, family-friendly initiatives, flexible working and much more. Click to access our staff benefits page (opens new browser tab) for further information and use our reward calculator to find out the total value of pay and benefits provided.
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).
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.
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.
Key dates to note:
Closing date for applications is 10 April 2024.
Unless otherwise stated the closing date for applications is 11:59PM GMT. If you are applying outside the UK the closing time om our adverts automatically adjusts to your browsers local time zone.
