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- Tasks: Join our team to develop AI solutions and enhance user experiences in higher education.
- Company: Kinetic, a leading tech partner for universities, focused on innovation and growth.
- Benefits: Competitive salary, 25 days holiday, wellbeing days, and flexible benefits.
- Why this job: Kickstart your career in AI with mentorship and real-world impact on student experiences.
- Qualifications: Recent graduate in Computer Science or related field with AI interest and programming skills.
- Other info: Dynamic work culture with opportunities for professional development and career progression.
The predicted salary is between 30000 - 40000 ÂŁ per year.
Innovation Acceleration Graduate Engineer (AI) R58413
Kinetic | Milton Keynes, England, United Kingdom
About Kinetic
Founded in 1998, Kinetic develops innovative software to support university accommodation and conferencing teams. We are the technology partner of choice for leading universities, colleges and accommodation providers, managing over 350 customers worldwide and trusted by more than 80% of UK universities. Kinetic is part of the Volaris Group, a subsidiary of Constellation Software Inc. Our goal is to achieve ÂŁ50m net revenue by 2032 and to provide a Kinetic product to every university student.
Your Role
You will join the Innovation Acceleration Team as a Graduate AI Engineer, working with the Senior Innovation Acceleration Engineer and cross‑functional teams. Your focus will be on integrating AI capabilities into our student accommodation and event management platforms, creating prototypes, and implementing AI features that enhance user experience and unlock new value for higher education customers.
Responsibilities
- Assist in the development and deployment of AI solutions across our products, including prompt engineering and model performance testing.
- Build proof‑of‑concept prototypes to demonstrate AI value for business challenges.
- Support data collection, cleaning, and preparation for AI systems; analyse performance metrics and user feedback.
- Collaborate with product managers, engineers, and professional services teams to integrate AI components successfully.
- Stay current on AI developments, researching potential applications for our higher education customers.
- Create documentation for AI systems and contribute to knowledge‑sharing initiatives that improve AI literacy across the organisation.
Qualifications & Desired Skills
- T‑shaped engineering profile: deep technical expertise in AI orchestration, systems architecture, or a related area, coupled with broad cross‑functional skills.
- Recent graduate with a degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Proficiency in Python, data processing, analysis, and visualisation.
- Foundational knowledge of machine learning concepts, large language models and AI application patterns.
- Strong analytical, problem‑solving and communication skills.
- Learning agility and proactive self‑development.
- Experience with cloud services (Azure, AWS, GCP) and AI/ML offerings, Retrieval Augmented Generation (RAG), SaaS models, and agile workflows is desirable.
- Understanding of the higher education sector and AI ethics considerations enhances your fit.
Career Development Pathway
- Structured development program tailored to your strengths and interests.
- Opportunities to take on increasing responsibility as you grow.
- Clear progression path toward senior AI engineering roles.
- Cross‑functional exposure building a well‑rounded product development perspective.
- Support for continued education and professional certifications.
Benefits
- £30,000 – £40,000 per year salary.
- 25 days holiday plus bank holidays, paid wellbeing days, and generous vacation accrual.
- Enhanced pension contributions and salary sacrifice schemes for electric vehicles and cycle‑to‑work.
- Access to Employee Assistance Programme, annual health check, and flexible benefits platform.
- Performance‑related bonus scheme and regular social events.
- Opportunities to attend conferences, away days and learning forums in the UK and abroad.
EEO Statement
Kinetic is an equal opportunity employer, fostering diversity and committed to creating an inclusive environment for all employees.
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Innovation Acceleration Graduate Engineer (AI) R58413 employer: Kinetic
Contact Detail:
Kinetic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Innovation Acceleration Graduate Engineer (AI) R58413
✨Tip Number 1
Network like a pro! Reach out to alumni from your university or professionals in the AI field. A simple message on LinkedIn can open doors and lead to valuable insights or even job referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, prototypes, or any relevant coursework. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and problem-solving. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your experiences effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at Kinetic.
We think you need these skills to ace Innovation Acceleration Graduate Engineer (AI) R58413
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Innovation Acceleration Graduate Engineer. Highlight your relevant skills in AI, programming, and any projects that showcase your problem-solving abilities. We want to see how you fit into our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for AI and how your background aligns with Kinetic's mission. Let us know why you're excited about this opportunity and what you can bring to the table.
Showcase Your Projects: If you've worked on any AI or data science projects, make sure to include them in your application. We love seeing practical examples of your work, so share links or descriptions that demonstrate your skills and creativity.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re serious about joining our innovative team!
How to prepare for a job interview at Kinetic
✨Know Your AI Stuff
Make sure you brush up on your AI knowledge before the interview. Familiarise yourself with key concepts like machine learning, large language models, and the frameworks mentioned in the job description, such as TensorFlow and PyTorch. Being able to discuss these topics confidently will show that you're genuinely interested and prepared.
✨Show Off Your Projects
Bring examples of your academic or personal projects that involve AI, ML, or data science. Be ready to explain your role in these projects, the challenges you faced, and how you overcame them. This not only demonstrates your technical skills but also your problem-solving abilities and creativity.
✨Understand the Company
Do some homework on Kinetic and its mission in the higher education sector. Understand their products and how AI can enhance user experiences. This will help you tailor your answers and show that you're aligned with their goals, making you a more attractive candidate.
✨Ask Smart Questions
Prepare thoughtful questions to ask during the interview. Inquire about the team dynamics, the specific AI projects you'll be working on, or how they measure success in this role. This shows your enthusiasm for the position and helps you gauge if it's the right fit for you.
