Graduate AI Machine Learning Engineer

Salary: £39,000 - 40,000 per year

Requirements

• Familiarity with data preprocessing techniques and data pipelines
• Strong analytical and problem-solving skills
• A degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience
• Awareness of AI ethics, fairness, bias mitigation, and emerging regulations around responsible AI
• Experience with cloud platforms (AWS, GCP, Azure) is desirable
• Knowledge of MLOps practices and tools is desirable
• Familiarity with natural language processing or computer vision is desirable
• Strong foundation in Python and machine learning libraries is desirable
• Understanding of key machine learning algorithms, including regression, classification, clustering, and neural networks, is desirable

Responsibilities

• Design, develop, and deploy machine learning models to solve real-world problems
• Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into scalable applications
• Preprocess and analyze large datasets for training and evaluation
• Monitor, maintain, and improve model performance over time
• Stay current with the latest research and advancements in machine learning and AI technologies

Technologies

• AI
• AWS
• Azure
• Cloud
• Computer Vision
• GCP
• Machine Learning
• Python
• Support

More

We are a growing team based in Central London, seeking a motivated and technically skilled AI Machine Learning Engineer to join us. This is an exciting opportunity for someone passionate about artificial intelligence and data-driven solutions to contribute to innovative projects across various industries. We welcome applicants early in their career or those looking to transition into AI, and we offer full training, mentorship, clear career progression paths, and a supportive, collaborative, and inclusive environment. Flexible and remote working arrangements are available, including the option to work remotely part-time. The starting salary is £39,000 with regular performance-based reviews, and we provide access to industry-standard tools, cloud platforms, and AI research resources.

last updated 26 week of 2026