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For Companies At a Glance
- Tasks: Design and develop AI models while collaborating with experienced engineers and data scientists.
- Company: Join a friendly, innovative team in the vibrant Cambridge tech ecosystem.
- Benefits: Enjoy a competitive salary, mentorship, flexible working, and rapid career progression.
- Why this job: Work on real-world AI challenges and make a tangible impact in a fast-paced environment.
- Qualifications: Degree in Computer Science or related field; strong programming skills in Python.
- Other info: Access to cutting-edge AI tools and opportunities for skill development.
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 - Intellect Group in Cambridge employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - Intellect Group in Cambridge
✨Tip Number 1
Network like a pro! Attend AI and tech meetups in Cambridge, connect with industry folks on LinkedIn, and don’t be shy to reach out for informational chats. Building relationships can open doors to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning or AI. Share it during interviews or on your LinkedIn profile to give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding machine learning concepts. Practice common interview questions and coding challenges to boost your confidence and impress the interviewers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Don’t hesitate to follow up after applying to show your enthusiasm!
We think you need these skills to ace AI Engineer - Intellect Group in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your programming skills in Python and any relevant projects or internships you've done. We want to see how your experience aligns with the job description!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Keep it concise but engaging – we love a good story!
Showcase Your Skills: Don’t just list your skills; demonstrate them! If you’ve worked with ML libraries like PyTorch or TensorFlow, mention specific projects where you applied these tools. We’re keen to see your problem-solving skills in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at Jobster
✨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 and are ready to tackle real-world problems.
✨Showcase Your Coding Skills
Prepare to demonstrate your programming skills in Python during the interview. You might be asked to solve coding challenges or explain your previous projects. Make sure you can write clean, maintainable code and articulate your thought process clearly.
✨Familiarise Yourself with Tools
Get comfortable with popular ML libraries like 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
Strong communication skills are key in a collaborative environment. Practice explaining complex technical concepts in simple terms, as you'll need to work closely with cross-functional teams. Show your enthusiasm for learning and adapting to new challenges!
