Graduate AI Analyst / Engineer

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