🚀 Are you a Graduate AI Engineer ready to launch your career in Artificial Intelligence?
We’re looking for a driven and curious Graduate AI Engineer to join our hybrid-working team in London. You’ll be part of a collaborative group of engineers and data scientists developing and deploying cutting-edge AI solutions that make a real impact.
This is a fantastic opportunity for a recent graduate or early-career professional with up to one year of experience who’s passionate about machine learning, data, and building intelligent systems that solve real-world problems.
In this role, you’ll:
🧠 Design, train, and evaluate machine learning and deep learning models for real-world applications
🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment
📊 Experiment with techniques across NLP, computer vision, and predictive analytics
🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products
💡 Research emerging AI trends and contribute fresh ideas to improve models and workflows
What’s in it for you?
📈 Career Growth – Develop your technical expertise through hands-on mentorship and continuous learning opportunities.
⚙ Real-World Impact – Work on projects where your models and insights directly influence business decisions and products.
💬 Collaborative Environment – Join a supportive, innovative team that values curiosity, creativity, and experimentation.
🏢 Hybrid Flexibility – Balance remote work with in-person collaboration days at our London office.
🌱 Development Pathway – Build a strong foundation in AI engineering and progress toward senior roles as you grow.
What We’re Looking For:
🎓 A degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field
🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn
🧩 Understanding of machine learning algorithms and statistical modelling
📈 Strong problem-solving and analytical mindset
🗣 Excellent communication skills and a genuine passion for learning
Nice to Have:
💾 Experience with SQL, data pipelines, or cloud platforms (AWS, GCP, or Azure)
📊 Familiarity with MLOps tools or model deployment practices
📚 Exposure to NLP, computer vision, or generative AI projects (academic or personal)
💻 Previous internship or project experience in AI, data science, or software engineering
If you’re excited to kickstart your career in AI and work on projects that push the boundaries of innovation — we’d love to hear from you.
👉 Apply now and be part of shaping the future of intelligent technology!
