Senior Machine Learning Engineer

About the Role

What You'll Do

• Frame unique ML problems for enhancing ML capabilities of LLMs.
• Design, build, and optimise machine learning models for classification, prediction, NLP, recommendation, or generative tasks.
• Run rapid experimentation cycles, evaluate model performance, and iterate continuously.
• Conduct advanced feature engineering and data preprocessing.
• Implement adversarial testing, model robustness checks, and bias evaluations.
• Fine-tune, evaluate, and deploy transformer-based models where necessary.
• Maintain clear documentation of datasets, experiments, and model decisions.
• Stay updated on the latest ML research, tools, and techniques to push modelling capabilities forward.

What We're Looking For

• At least 3 years of full-time experience in machine learning model development
• Technical degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field
• Demonstrated competitive machine learning experience (Kaggle, DrivenData, or equivalent)
• Evidence of top-tier performance in ML competitions (Kaggle medals, finalist placements, leaderboard rankings)
• Strong proficiency in Python, PyTorch/TensorFlow, and modern ML/NLP frameworks
• Solid understanding of ML fundamentals: statistics, optimisation, model evaluation, architectures
• Experience with distributed training, ML pipelines, and experiment tracking
• Strong problem-solving skills and algorithmic thinking
• Experience working with cloud environments (AWS/GCP/Azure)
• Exceptional analytical, communication, and interpersonal skills
• Ability to clearly explain modelling decisions, tradeoffs, and evaluation results
• Fluency in English