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- Tasks: Design and deploy AI models in a dynamic SaaS environment.
- Company: Fast-growing SaaS company with a supportive engineering culture.
- Benefits: Competitive salary, learning opportunities, and hybrid working.
- Why this job: Work on real-world AI systems and make an impact from day one.
- Qualifications: Master’s degree in relevant field and experience with Python and ML libraries.
- Other info: Collaborative culture with strong mentoring and career progression.
The predicted salary is between 28800 - 48000 £ per year.
Location: Northampton (Hybrid)
Company Type: SaaS
Job Type: Full-time, Permanent
About the Role
We’re looking for a curious and ambitious Graduate AI Engineer to join our growing SaaS team based in Northampton. This is an excellent opportunity for a recent postgraduate to work hands-on with real-world AI and machine learning systems, contributing directly to intelligent, scalable software used by customers every day. You’ll work closely with experienced engineers, data scientists, and product teams to design, build, and deploy AI-driven features across our platform — from experimentation through to production.
Key Responsibilities
- Design, develop, and deploy machine learning and AI models within a SaaS environment
- Work with structured and unstructured data to build predictive and intelligent features
- Collaborate with software engineers to integrate models into production systems
- Evaluate, test, and improve model performance over time
- Contribute to data pipelines, model training workflows, and MLOps practices
- Stay up to date with the latest developments in AI, ML, and data science
- Document models, experiments, and technical decisions clearly
Requirements
- Master’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field
- Strong foundations in machine learning, algorithms, and statistics
- Experience with Python and common ML libraries (e.g. TensorFlow, PyTorch, scikit-learn)
- Understanding of software engineering fundamentals and version control (e.g. Git)
- Ability to communicate technical ideas clearly to both technical and non-technical stakeholders
- Right to work in the UK
Nice to Have
- Experience with cloud platforms (AWS, Azure, or GCP)
- Familiarity with data engineering tools or SQL
- Exposure to deploying models into production or MLOps concepts
- Internship, research, or project experience in applied AI
Working Arrangements
- Hybrid role: a mix of office-based work in Northampton and remote working
- Collaborative, supportive engineering culture with strong mentoring
What We Offer
- Competitive graduate salary
- Clear progression and learning pathway
- Opportunity to work on real production AI systems from day one
- Support for continued learning, conferences, and certifications
- Modern tech stack and a fast-growing SaaS environment
Jr AI Engineer employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Jr AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at local meetups. 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 involving 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 technical questions and coding challenges. Practise explaining your thought process clearly, as communication is key when working with both technical and non-technical teams.
✨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 Jr AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that align with the role of a Graduate AI Engineer. We want to see how your background in machine learning and AI can contribute to 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 you can bring value to our SaaS team. Don’t forget to mention any projects or experiences that showcase your skills.
Showcase Your Projects: If you've worked on any AI or machine learning projects, make sure to include them in your application. We love seeing practical examples of your work, especially if they demonstrate your ability to solve real-world problems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our growing team!
How to prepare for a job interview at Intellect Group
✨Know Your AI Stuff
Make sure you brush up on your machine learning fundamentals and the specific libraries mentioned in the job description, like TensorFlow and PyTorch. Be ready to discuss your experience with these tools and how you've applied them in real-world scenarios.
✨Show Off Your Projects
Prepare to talk about any relevant projects or internships you've completed. Highlight your role in designing, developing, or deploying AI models, and be ready to explain the challenges you faced and how you overcame them.
✨Communicate Clearly
Since you'll need to explain technical concepts to both tech-savvy and non-tech audiences, practice articulating your ideas clearly. Use simple language when discussing complex topics, and think of examples that can help illustrate your points.
✨Stay Current
Keep yourself updated on the latest trends in AI and machine learning. Mention any recent developments or breakthroughs you've read about, and be prepared to discuss how they could impact the work you'll be doing in the role.