At a Glance
- Tasks: Design and develop AI models while collaborating with experienced engineers and data scientists.
- Company: Join a friendly, innovative tech team in the heart of Cambridge.
- Benefits: Competitive salary, mentorship, flexible working, and rapid career progression.
- Other info: Access to cutting-edge tools and a dynamic learning environment.
- Why this job: Work on real-world AI challenges and make a tangible impact in tech.
- Qualifications: Degree in Computer Science or related field; strong Python skills required.
The predicted salary is between 35000 - 40000 £ per year.
Location: Cambridge, UK (Hybrid/On-site)
Salary: £35,000 – £40,000 per annum
Job Type: Full-time, Permanent
About The Role
We are looking for a talented and motivated Graduate AI Engineer to join our growing engineering team in Cambridge. This is an excellent opportunity for a recent graduate to work on real-world AI and machine learning problems, contributing to the design, development, and deployment of intelligent systems in a collaborative, fast-paced environment. You will work closely with experienced engineers, data scientists, and product teams to build scalable AI-driven solutions while developing your technical and professional skills.
Key Responsibilities
- Design, develop, and implement machine learning and AI models
- Assist in data preparation, feature engineering, and model evaluation
- Write clean, maintainable, and well-documented code
- Deploy and monitor models in production environments
- Collaborate with cross-functional teams to translate business problems into technical solutions
- Stay up to date with the latest AI/ML research, tools, and best practices
Required Skills & Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field
- Strong programming skills in Python
- Understanding of machine learning fundamentals (supervised/unsupervised learning, model evaluation, overfitting, etc.)
- Experience with common ML libraries such as PyTorch, TensorFlow, scikit-learn, or similar
- Solid foundation in data structures, algorithms, and software engineering principles
- Strong problem-solving skills and attention to detail
- Excellent communication skills and a willingness to learn
Desirable (Nice to Have)
- Experience with deep learning, NLP, or computer vision
- Familiarity with cloud platforms (AWS, GCP, or Azure)
- Exposure to MLOps tools, CI/CD, or model deployment pipelines
- Experience working with large datasets or databases (SQL/NoSQL)
- Internship or project experience applying AI in real-world scenarios
What We Offer
- Competitive salary of £35k–£40k depending on experience
- Mentorship and structured learning from experienced AI engineers
- Opportunities for rapid skill development and career progression
- Access to cutting-edge AI tools and research
- Flexible working arrangements
- Friendly, innovative team culture in the Cambridge tech ecosystem
AI Engineer in Cambridge employer: Intellect Group
Join our dynamic team in Cambridge as a Graduate AI Engineer, where you'll have the chance to work on impactful AI projects in a supportive and innovative environment. We offer competitive salaries, mentorship from seasoned professionals, and opportunities for rapid career growth, all while enjoying the flexibility of hybrid working arrangements. Our friendly culture fosters collaboration and creativity, making it an ideal place for recent graduates eager to make their mark in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Cambridge
✨Tip Number 1
Network like a pro! Attend AI meetups, tech conferences, or local events in Cambridge. It's a great way to meet industry folks and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning or AI. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and ML concepts. Practice coding challenges and be ready to discuss your past projects and how they relate to the role.
✨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 proactive!
We think you need these skills to ace AI Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight relevant projects, skills, and experiences that align with what we’re looking for. This shows us you’re genuinely interested and have the right background!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI and how your skills can contribute to our team. Keep it concise but engaging – we want to see your personality!
Showcase Your Projects:If you've worked on any AI or machine learning projects, make sure to mention them! Whether it's coursework, internships, or personal projects, we love seeing practical applications of your skills.
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, you’ll find all the details you need about the role there!
How to prepare for a job interview at Intellect Group
✨Know Your AI Fundamentals
Brush up on your understanding of machine learning concepts like supervised and unsupervised learning, model evaluation, and overfitting. Being able to discuss these topics confidently will show that you have a solid foundation for the role.
✨Showcase Your Coding Skills
Prepare to demonstrate your programming skills in Python. You might be asked to solve coding problems or explain your previous projects. Make sure you can articulate your thought process clearly while writing clean and maintainable code.
✨Familiarise Yourself with Tools
Get comfortable with popular ML libraries such as PyTorch, TensorFlow, and scikit-learn. If you have experience with cloud platforms or MLOps tools, be ready to discuss how you've used them in past projects or internships.
✨Communicate Effectively
Practice explaining complex technical concepts in simple terms. Good communication is key, especially when collaborating with cross-functional teams. Be prepared to share examples of how you've worked with others to solve problems.
