Machine Learning Engineer
Machine Learning Engineer (Graduate / Early Career)
Location: London
Type: Full-time
About the RoleKickstart your AI career! This role is designed specifically for recent graduates or early-career professionals eager to launch their careers in machine learning and AI. You’ll work on exciting real-world projects, learn from experienced engineers and data scientists, and turn your academic knowledge into practical impact. No prior professional experience is required—what matters is curiosity, problem-solving skills, and passion for AI.
What You’ll Do- Implement, train, and optimize ML models (supervised, unsupervised, reinforcement learning)
- Preprocess data, engineer features, and evaluate model performance
- Deploy models to production and monitor performance
- Collaborate with cross-functional teams to integrate AI solutions
- Learn and apply the latest ML/AI research and tools
- Recently completed or soon-to-be completed Bachelor’s or Master’s in Computer Science, Data Science, AI, Statistics, or related field
- Strong programming skills in Python (and optionally R, Java, or C++)
- Knowledge of ML frameworks like TensorFlow, PyTorch, or scikit-learn
- Eagerness to learn, curiosity, and a problem-solving mindset
- Cloud experience (AWS, GCP, Azure)
- Familiarity with MLOps tools (Docker, MLflow, Kubeflow)
- Deep learning knowledge (CNNs, RNNs, Transformers)
- Internship, research, or academic projects in ML/AI
- Hands-on experience with cutting-edge AI technologies
- Mentorship tailored for graduates to grow skills and career
- Flexible working arrangements, including remote options
- Career growth and professional development opportunities
- Competitive salary and performance bonuses
- Private health insurance and wellness programs
- Generous annual leave and paid time off
- Learning and training budget for certifications, courses, or conferences