At a Glance
- Tasks: Support and develop advanced computing platforms for research and AI initiatives.
- Company: Leading research-led organisation with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Inclusive environment that values individuality and offers excellent career development.
- Why this job: Join a specialist team and tackle complex infrastructure challenges while making a real impact.
- Qualifications: Experience in Linux systems, HPC, and network administration required.
The predicted salary is between 63000 - 77000 £ per year.
Location: Hampshire, South Coast / Hybrid Working Available
The Opportunity
We're supporting a leading research-led organisation in the search for a Research Infrastructure Engineer to join a specialist team delivering advanced computing platforms that support research, data science and AI initiatives. This role offers the opportunity to work with high performance infrastructure, supporting researchers and technical teams to ensure critical services remain secure, reliable and scalable.
The Role
You'll be part of the team responsible for supporting and developing large-scale research computing environments, helping researchers make effective use of specialist technology and infrastructure. Key responsibilities include:
- Supporting and administering Linux-based research computing platforms
- Managing HPC, AI and data-intensive infrastructure
- Maintaining large-scale storage environments
- Troubleshooting complex infrastructure, networking and software issues
- Working closely with researchers to develop technical solutions
- Producing technical documentation and user guidance
- Supporting on delivering user training and workshops
- Contributing to platform improvements and automation initiatives
About You
We're keen to speak with technical professionals who enjoy solving complex infrastructure challenges and working closely with end users. You'll have experience in one or more of the following:
- Linux systems administration
- High Performance Computing (HPC)
- Enterprise storage platforms
- Network administration
- GPU-enabled environments
- Research or scientific computing
- Infrastructure automation and DevOps practices
You'll also be comfortable communicating with a range of stakeholders and translating technical concepts into practical solutions.
Desirable Experience
- Research, scientific or higher education environments
- Infrastructure as Code and automation tools
- DevOps methodologies
- AI and machine learning infrastructure
Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment.
Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.
Research Infrasructure Engineer in Southampton employer: Tate
Tate in Uxbridge is an exceptional employer that fosters a collaborative and innovative work culture, where your passion for art can thrive alongside your professional growth. With a commitment to employee development and a focus on impactful audience insights, you will have the opportunity to lead a talented team while shaping strategies that resonate globally. Enjoy a supportive environment that values creativity and encourages continuous learning, making it a truly rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Research Infrasructure Engineer in Southampton
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Tate!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Research Infrasructure Engineer at Tate.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Tate.
✨Apply Directly through Our Website
When you find a suitable opening like Research Infrasructure Engineer at Tate, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Research Infrasructure Engineer in Southampton
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Tate, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tate. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Tate
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Tate!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
