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- Tasks: Design and deploy AI models in a dynamic SaaS environment.
- Company: Join a fast-growing SaaS company with a supportive 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 in relevant field and experience with Python and ML libraries.
- Other info: Collaborative team with strong mentoring and career progression.
The predicted salary is between 28800 - 48000 £ per year.
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
- 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
- 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
- Hybrid role: a mix of office-based work in Northampton and remote working
- Collaborative, supportive engineering culture with strong mentoring
- 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 in Milton Keynes employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Jr AI Engineer in Milton Keynes
✨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 a lead on that perfect Jr AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and AI. This will give potential employers a taste of what you can do.
✨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 in tech roles.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team and contributing to our innovative projects.
We think you need these skills to ace Jr AI Engineer in Milton Keynes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Graduate AI Engineer. Highlight your relevant skills, projects, and experiences that align with AI and machine learning. We want to see how you 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 why you’re excited about joining StudySmarter. Share specific examples of your work or studies that relate to the job description.
Showcase Your Projects: If you've worked on any AI or machine learning projects, make sure to mention them! Whether it's a university project or something personal, we love seeing practical applications of your skills. Include links if possible!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
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 any projects or experiences you've had with these tools, as it shows you're not just familiar but also hands-on.
✨Show Your Curiosity
As a Graduate AI Engineer, they want someone who is curious and eager to learn. Prepare some questions about the company's AI projects or recent developments in the field. This not only shows your interest but also that you're proactive about staying updated in the fast-paced world of AI.
✨Communicate Clearly
You’ll need to explain complex technical ideas to both tech-savvy and non-tech audiences. Practice articulating your thoughts on AI concepts in simple terms. This will help demonstrate your ability to collaborate effectively with different teams within the company.
✨Familiarise Yourself with MLOps
Since the role involves deploying models into production, having a basic understanding of MLOps practices can set you apart. Research common workflows and tools used in MLOps, and be prepared to discuss how you would approach integrating models into production systems.
