About this role
Salary: £38,000 - 45,000 per year
Requirements
- Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related field
- Strong understanding of machine learning concepts and AI fundamentals
- Understanding of software engineering best practices
- Strong understanding of AI ethics, responsible AI development, and principled approaches to building trustworthy AI systems
- Awareness of topics such as bias mitigation, model transparency, privacy, and fairness in AI applications
- Strong analytical and problem-solving skills
- Excellent communication and teamwork abilities
- Genuine passion for AI and emerging technologies
- Exposure to Generative AI, LLMs, NLP, or computer vision projects
- Knowledge of AWS, Azure, or GCP
- Familiarity with Docker, APIs, Git workflows, and frameworks such as PyTorch, TensorFlow, or Scikit-learn
- Internship, university project, or personal portfolio related to AI/ML
Responsibilities
- Support the development and optimisation of AI and machine learning models
- Work with large datasets for analysis, preprocessing, and model training
- Assist with the deployment and monitoring of AI applications
- Collaborate with software engineers, product teams, and data specialists
- Contribute to backend development and API integrations
- Research and test new AI frameworks and technologies
- Help ensure AI systems are developed responsibly, ethically, and with a strong focus on transparency and fairness
- Write clean, maintainable, and scalable code
Technologies
- AI
- API
- AWS
- Azure
- Backend
- Computer Vision
- Docker
- GCP
- Git
- Support
- Machine Learning
- Model Training
- PyTorch
- TensorFlow
- Cloud
More
We are partnering with an innovative, fast-growing AI start-up based in London and are looking for a Graduate AI Engineer to join our expanding technical team. This is an opportunity for a recent graduate or junior engineer to work on cutting-edge AI products with real commercial impact, alongside experienced engineers, founders, and product teams in a collaborative environment. We offer a competitive graduate salary, stock options or equity, hybrid and flexible working, direct mentorship, structured learning and career progression, private healthcare and additional benefits, as well as regular team socials and company events. Our culture is collaborative, ambitious, and highly innovative.
last updated 45 week of 2026