At a Glance
- Tasks: Join our AI team to build, train, and deploy cutting-edge AI models.
- Company: Dynamic tech company focused on AI innovation and collaboration.
- Benefits: 25+ days leave, hybrid work, bonuses, and professional development support.
- Other info: Be part of a diverse team with excellent growth opportunities and regular events.
- Why this job: Kickstart your career with real AI projects and expert mentorship.
- Qualifications: Recent graduate in relevant fields with a passion for AI and programming skills.
The predicted salary is between 28800 - 48000 £ per year.
Job Description
Shape the Future with AI — Start Your Career Here
Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems?
We’re looking for an ambitious and curious Graduate AI Analyst / Engineer to join our AI & Data Science team. This is an ideal role for a recent graduate who wants to kickstart their career by working on real AI projects, learning from experts, and gaining hands-on experience with modern AI tools, models, and data pipelines.
Whether you studied Computer Science, Engineering, Maths, Data Science, or a related field, if you have a passion for AI and a hunger to learn — we want to hear from you.
What You’ll Be Doing
You’ll work with experienced AI engineers and data scientists to:
- Build & Train Models: Support the development and training of machine learning and deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn.
- Explore & Prepare Data: Help clean, transform, and analyse large datasets for AI applications.
- Experiment & Research: Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency.
- Deploy & Monitor Models: Learn how to deploy models into production environments and monitor their performance over time.
- Collaborate Across Teams: Work closely with product managers, software engineers, and domain experts to solve business problems using AI.
- Stay Current: Keep up to date with the latest trends in AI, including generative models (e.g. LLMs), computer vision, and reinforcement learning.
What We’re Looking For
We’re not expecting a seasoned expert — we’re looking for potential, passion, and a strong foundation.
Essential:
- A recent graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline
- A strong interest in AI/ML, data science, or applied statistics
- Solid programming skills in Python (or similar languages)
- Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn
- Strong problem-solving ability and analytical thinking
- A willingness to learn and work collaboratively in a team environment
Nice to Have (But Not Required):
- Experience from a university project, hackathon, or internship involving AI or machine learning
- Understanding of neural networks, NLP, or computer vision concepts
- Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure)
- Knowledge of SQL or data wrangling techniques
What You’ll Gain
- Real-World Experience: Work on live AI projects with real business impact
- Structured Learning: Receive training and mentoring in AI tools, techniques, and best practices
- Certification Support: Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer)
- Career Growth: Opportunities to specialise in areas like NLP, computer vision, or AI engineering
- Community & Culture: Be part of a collaborative, diverse, and forward-thinking tech team
Excellent Company Benefits
- 25+ Days Annual Leave, plus bank holidays
- Hybrid Working Options – mix of home and office work
- Annual Bonus Scheme – based on company and personal performance
- Professional Development Budget – for courses, conferences, and certifications
- Private Healthcare & Mental Health Support
- Matched Pension Contributions
- Cycle-to-Work Scheme & Season Ticket Loans
- Tech Allowance – choose your own laptop and tools
- Employee Discounts on shopping, fitness, travel, and more
- Regular Team Events – socials, hackathons, and knowledge-sharing sessions
Graduate AI Analyst / Engineer in London employer: Kingsgate Recruitment Ltd
Join a dynamic and innovative team as a Graduate AI Analyst / Engineer, where you'll have the opportunity to work on impactful AI projects while receiving structured training and mentorship from industry experts. Our collaborative and diverse work culture fosters continuous learning and professional growth, supported by excellent benefits such as hybrid working options, a generous annual leave policy, and a commitment to your career development through certification support. Located in a vibrant tech hub, this role offers a unique chance to kickstart your career in AI within a forward-thinking environment that values creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate AI Analyst / Engineer in London
✨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 Kingsgate Recruitment Ltd!
✨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 Graduate AI Analyst / Engineer at Kingsgate Recruitment Ltd.
✨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 Kingsgate Recruitment Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Graduate AI Analyst / Engineer at Kingsgate Recruitment Ltd, 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 Graduate AI Analyst / Engineer in London
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 Kingsgate Recruitment Ltd, 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 Kingsgate Recruitment Ltd. 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 Kingsgate Recruitment Ltd
✨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 Kingsgate Recruitment Ltd!
✨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.
