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For Companies 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 employer: Kingsgate Recruitment Ltd
Contact Detail:
Kingsgate Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate AI Analyst / Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or at events. Don’t be shy; ask questions and express your interest in their work. You never know who might have a lead on a job or can offer you valuable advice.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and machine learning. Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and coding challenges. Practice explaining your thought process clearly and concisely. Remember, they want to see how you think, not just if you get the right answer!
✨Tip Number 4
Apply through our website! We’re always on the lookout for passionate graduates like you. Tailor your application to highlight your enthusiasm for AI and your eagerness to learn. Let’s shape the future together!
We think you need these skills to ace Graduate AI Analyst / Engineer
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and machine learning shine through. Share any projects or experiences that sparked your interest in the field, as we love to see genuine passion!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight relevant skills and experiences that align with what we’re looking for, like programming in Python or working with data science libraries.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the Graduate AI Analyst/Engineer position. We can’t wait to hear from you!
How to prepare for a job interview at Kingsgate Recruitment Ltd
✨Know Your AI Basics
Brush up on fundamental concepts in AI and machine learning. Be ready to discuss algorithms, models, and tools like Python, TensorFlow, or PyTorch. Showing that you understand the basics will impress interviewers and demonstrate your passion for the field.
✨Showcase Your Projects
If you've worked on any university projects, hackathons, or internships related to AI, be sure to highlight them. Discuss the challenges you faced, how you approached problem-solving, and the outcomes. This gives a practical edge to your theoretical knowledge.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI projects, team dynamics, or future trends in AI. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
✨Demonstrate Your Learning Mindset
Emphasise your willingness to learn and adapt. Share examples of how you've tackled new challenges or learned new skills in the past. Companies love candidates who are eager to grow and contribute to the team.