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
As a leading player in the tech industry, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. Our Product Managers enjoy competitive salaries, comprehensive benefits, and ample opportunities for professional growth, all while working in a vibrant location that encourages creativity and teamwork. Join us to make a meaningful impact by bridging the gap between engineering and product teams in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Cambridge
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Intellect Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Engineer at Intellect Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Intellect Group.
✨Apply Directly through Our Website
When you find a suitable opening like AI Engineer at Intellect Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Engineer in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Intellect Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Intellect Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Intellect Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Intellect Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
