At a Glance
- Tasks: Build, test, and optimise AI-driven applications while collaborating with a dynamic team.
- Company: Forward-thinking business focused on SaaS and AI solutions.
- Benefits: Gain practical experience, mentoring, and potential for a full-time role.
- Other info: Opportunity to explore new technologies in a supportive environment.
- Why this job: Dive into real-world AI projects and make a tangible impact.
- Qualifications: Recent graduate or student with coding skills and a passion for AI.
The predicted salary is between 20000 - 30000 £ per year.
We are a forward-thinking business working across multiple SaaS and AI-driven platforms. We build and implement intelligent solutions that improve efficiency, automation, and customer experiences. We’re now looking for a graduate or intern-level AI Developer to join our team, bringing curiosity, coding ability, and a self-starter attitude to real-world AI projects.
This role is ideal for someone passionate about AI, machine learning, and automation who wants to gain hands-on experience. You’ll work on building, testing, and optimising AI-driven applications, collaborating with the team but also owning independent projects. You’ll need to be proactive, eager to learn, and comfortable working independently, with the confidence to explore new technologies and approaches.
Key Responsibilities- Support the design, development, and deployment of AI-driven solutions.
- Assist in training, testing, and evaluating machine learning models.
- Work with APIs, SaaS platforms, and automation tools to integrate AI into workflows.
- Conduct research into new AI frameworks, tools, and best practices.
- Collaborate with the wider team to identify opportunities for AI innovation.
- Document processes, code, and learnings clearly and effectively.
- Recent graduate, current student, or self-taught coder with a strong interest in AI/ML.
- Knowledge of at least one programming language (Python preferred).
- Basic understanding of machine learning, natural language processing, or data analysis.
- Ability to work independently, solve problems, and learn quickly.
- Strong logical thinking and attention to detail.
- Familiarity with AI/ML libraries (TensorFlow, PyTorch, scikit-learn, etc.) is a plus.
- Understanding of APIs, SaaS, or cloud platforms (AWS, Azure, GCP) is desirable but not essential.
- Practical experience in building AI-driven applications.
- Exposure to real projects across SaaS and automation platforms.
- Mentoring and guidance from experienced developers.
- Opportunity to work independently and make a real impact.
- Potential pathway into a full-time AI Developer role.
AI Developer – Graduate / Intern employer: Internwise
Join a dynamic and innovative team where your passion for AI and machine learning can flourish. As an AI Developer intern, you'll gain invaluable hands-on experience while working on cutting-edge projects that enhance efficiency and customer experiences. With a supportive work culture that prioritises mentorship and independent growth, this role offers a unique opportunity to make a meaningful impact in the tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land AI Developer – Graduate / Intern
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and machine learning. 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 brushing up on common AI concepts and coding challenges. Practice explaining your thought process clearly, as communication is key when working on collaborative projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace AI Developer – Graduate / Intern
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and machine learning shine through. Share any personal projects or experiences that highlight your curiosity and coding skills. We love seeing candidates who are genuinely excited about the field!
Tailor Your Application:Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. Highlight your knowledge of programming languages, especially Python, and any relevant AI/ML libraries you've worked with. This helps us see how you fit into our team.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your experiences and skills, and don’t forget to proofread! A well-structured application shows attention to detail, which is super important in our line of work.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Internwise
✨Know Your AI Basics
Brush up on your understanding of AI and machine learning concepts. Be ready to discuss your knowledge of programming languages, especially Python, and any relevant libraries like TensorFlow or PyTorch. This shows your passion and readiness for the role.
✨Showcase Your Projects
Prepare to talk about any personal projects or coursework related to AI. If you've built or contributed to any applications, be sure to highlight them. This demonstrates your hands-on experience and problem-solving skills.
✨Ask Smart Questions
Come prepared with questions about the company's AI projects and technologies they use. This not only shows your interest but also helps you gauge if the company aligns with your career goals. It’s a great way to engage with the interviewers.
✨Demonstrate Your Curiosity
Express your eagerness to learn and explore new technologies. Share examples of how you've proactively sought out knowledge in AI or coding. This attitude is key for a graduate or intern role, as it shows you're ready to grow with the team.
