The role
Are you excited by the challenge of helping turn raw data and bold ideas into real-world AI systems? Do you thrive on fine-tuning models, writing clean Python and solving thorny technical problems that push AI teaching and research forward? If so, we have an exceptional opportunity for you.
We are seeking a dynamic AI/ML & HPC Technical Services Engineer to join our Faculty Technical Services team. You will be a key member of our growing Digital Services Team, dedicated to driving the university’s mission of innovation in teaching, learning, and research through cutting-edge software technologies.
What You’ll Do:
- Support AI teaching and research: You'll support students and staff through the full AI model development process, from data preparation to initial training. Some support using traditional computing resources, with additional support involving HPC systems such as configuring GPU nodes, managing Slurm queues, containerising teaching notebooks, and enabling advanced pipelines
- Promote Robust Software Practices: You'll champion essential software development skills for AI, particularly in Python, covering areas like testing, version control, and continuous integration/delivery (CI/CD), helping students develop reliable, maintainable projects.
- Deliver Tailored Technical Solutions: You'll offer hands-on support and troubleshooting for coursework and research, diagnosing and resolving issues such as integration issues, data bottlenecks, or unpredictable schedulers to ensure projects progress smoothly.
- Contribute to digital team goals: You'll work closely with key members of your team, academics and IT Services to anticipate and plan for future needs, devise creative technical solutions, and ensure excellent resource management.
Join us and play a pivotal role in shaping the future of digital innovation at our university. If you’re ready to code your way to success and make a tangible impact on academia, we want to hear from you!
What will you be doing?
You will shape the way that Technical Services help the faculty leverage key AI development technologies to empower researchers and students, enhancing their ability to innovate and collaborate on complex projects involving AI technologies, sw development, integration and devops.
You will work closely with leading academics and research teams, providing the technical expertise needed to develop cutting-edge solutions that support ground-breaking research and advanced teaching methodologies.
- You will play a key role in the operational delivery of AI services, providing specialist support to students and researchers while also contributing to the strategic direction and creative design of technology-driven research and learning initiatives
You should apply if
Key Skills & Experience:
- Deep Software Engineering Expertise: Demonstrated ability to develop complex applications in Python, C#, C, or C++, backed by a portfolio showcasing depth and polish.
- AI/ML & MLOps Proficiency: Hands-on experience with PyTorch, TensorFlow, or JAX, including training, fine-tuning, and deploying models (e.g., LLMs). Familiarity with MLOps practices like model registries and drift monitoring.
- High-Performance Computing (HPC): Strong command of Slurm or PBS, GPU optimization with ability to scale distributed training across multi-node clusters and manage capacity.
- DevOps & Containerization: Fluency with Git, Docker, and Kubernetes, with CI/CD pipelines.
- Automation & Robust Scripting: A talent for writing effective scripts and tools that integrate HPC services, driving automation and efficiency.
- Advanced Problem-Solving: A methodical and unflappable approach to debugging, capable of deep-diving from application-level issues to kernel oddities.
- Commitment to Learning & Mentorship: A proven ability to quickly learn new technologies and best practices and effectively transfer that knowledge to others.
- Why should you apply for this role?
We are proud to be one of the most popular and successful universities in the UK, currently ranked 54th in the QS World University Rankings 2025. As the second-largest employer in Bristol, we offer competitive pay and rewards, an attractive pension scheme, generous leave entitlements, and a range of development opportunities. Additionally, we prioritise the wellbeing of our staff through various initiatives designed to support a healthy work-life balance.
Additional information
For informal queries, please contact:
Steve Leaback ([email protected]) 0117 456 1384
To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog:
https://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/
Contract type: Open ended
Work pattern: Full time
Grade: J
Salary: £42,882 - £48,149 Per annum
This advert will close at 23:59 UK time on Thursday 31st July.
Interviews are expected to take place between Monday 25th and Friday 29th August.
Our strategy and mission
We recently launched our strategy to 2030 tying together our mission, vision and values.
