Graduate AI Engineer
đź“Ť Bristol (Hybrid/On-site options available)
💰 £35,000 – £40,000 + benefits
Intellect Group is working on behalf of the fastest growing SaaS start-up in the UK to recruit a Graduate AI Engineer. This is a fantastic opportunity for a recent graduate to launch their AI career within a high-growth, innovation-led organisation.
About the Company
Our client is a rapidly scaling SaaS start-up that is transforming its sector through cutting-edge technology. With significant investment and ambitious growth plans, AI sits at the heart of their product strategy, driving smarter, faster, and more scalable solutions for their customers.
The Role
As a Graduate AI Engineer, you’ll join a talented team of engineers and data specialists, contributing to real-world AI projects from day one. You’ll receive hands-on training, mentorship from experienced engineers, and a clear pathway for career progression as the company continues to scale.
Key Responsibilities
* Support the development and deployment of AI and machine learning models
* Work with structured and unstructured data to train and evaluate models
* Collaborate with software engineers to embed AI solutions into live SaaS products
* Assist with experimentation, research, and proof-of-concept work
* Monitor and improve model performance over time
Requirements
* A recent degree (or upcoming graduation) in Computer Science, AI, Data Science, Mathematics, or a related discipline
* Strong Python skills and a solid understanding of core machine learning concepts
* Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
* Strong analytical and problem-solving skills
* A genuine interest in AI and emerging technologies
Nice to Have
* Exposure to NLP, computer vision, or deep learning
* Cloud experience (AWS, Azure, or GCP)
* Internship, placement year, or academic project experience in AI or software engineering
What’s on Offer
* Salary between £35k – £40k
* Opportunity to work with the fastest growing SaaS start-up in the UK
* Structured training, mentorship, and rapid career progression
* Collaborative, start-up environment with real ownership and impact
* Modern tech stack and challenging AI problems to solve