At a Glance
- Tasks: Support the University’s AI platform, NebulaONE, through training and user support.
- Company: Join a forward-thinking University team focused on responsible AI and innovation.
- Benefits: Competitive daily rate, collaborative environment, and opportunities for professional growth.
- Other info: Dynamic role with a focus on user engagement and continuous improvement.
- Why this job: Be at the forefront of AI technology and contribute to the Manchester 2035 vision.
- Qualifications: Experience in platform administration and strong communication skills.
The predicted salary is between 42000 - 52500 £ per year.
Rate - £525 a day
Location - Manchester
Duration - 3 Months initially
Ir35 - Inside (Must use an umbrella Company)
Based within the Digital Workplace Team, the AI Enablement Officer will play an essential role in supporting the University's growing use of NebulaONE, the University's platform for responsible AI, intelligent automation and knowledge-driven service improvement agents.
The postholder will apply strong organisational, communication and support skills to help colleagues effectively use NebulaONE and other emerging AI technologies. They will provide platform administration, user onboarding, training and support services that enable staff to create, manage and use AI agents confidently and responsibly. Working closely with the Agentic AI Engineer, the postholder will support the operational delivery and adoption of NebulaONE across the University.
Working alongside colleagues from across the University, the postholder will help promote the effective use of AI technologies, support users throughout their adoption journey and contribute directly to the Manchester 2035 strategic vision.
What are you looking for in terms of previous experience / skills
- Platform Administration
- Configures and maintains user access, permissions, groups and platform settings within NebulaONE
- Supports the onboarding of new users, departments and projects onto NebulaONE
- Maintains platform documentation, user guidance and operational procedures
- User Enablement
- Delivers training sessions, workshops and demonstrations to support the effective use of NebulaONE
- Acts as a key point of contact for NebulaONE users, providing guidance on platform capabilities and best practice
- Works with stakeholders across the University to support the successful adoption of NebulaONE
- Operational Support
- Works closely with the Agentic AI Engineer to support the delivery, administration and growth of NebulaONE
- Supports testing, rollout and user adoption of new NebulaONE capabilities and features
- Engagement and Continuous Improvement
- Monitors platform usage and user feedback to identify opportunities for improvement
- Contributes to the development of support resources, training materials and knowledge repositories
- Participates in broader AI-related communities of practice across the University and wider HE sector
AI Developer (NebulaOne) in Manchester employer: Adecco
As an employer, the University offers a dynamic and inclusive work culture that fosters innovation and collaboration, particularly within the Digital Workplace Team. Employees benefit from opportunities for professional growth through training and engagement with cutting-edge AI technologies like NebulaONE, all while contributing to the ambitious Manchester 2035 strategic vision. Located in the vibrant city of Manchester, the University provides a supportive environment where staff can thrive and make a meaningful impact on the future of education and technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Developer (NebulaOne) in Manchester
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Adecco before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Adecco.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Adecco.
We think you need these skills to ace AI Developer (NebulaOne) in Manchester
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Adecco, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Adecco, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Adecco’s attention and show the tangible impact of your work.
How to prepare for a job interview at Adecco
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Adecco.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Adecco.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Adecco.
