Senior Machine Learning Engineer

Senior Machine Learning Engineer

6 months
£800 – £1000 per day (Inside IR35)
One day per month based in London

Role Purpose:
Join our client’s Data Science team and work with exciting new technologies in machine learning and AI. Develop and deploy core ML/AI algorithms to drive innovation. As a Senior Machine Learning Engineer, you will tackle complex data science challenges, pioneer algorithm development, and support commercial objectives with cutting-edge data science solutions.

Key Accountabilities / Responsibilities:

• Lead the implementation of data science projects, developing algorithms and data science approaches to support commercial objectives.
• Collaborate across banners and group functions to build a data science roadmap that minimises time to value and maximises long-term effectiveness.
• Collaborate with tech, product, and data teams to develop data platforms that embed data science directly into our products and processes.

Required Skills & Experience:

• Core Skills:
• Solid understanding of computer science fundamentals, including data structures, algorithms, data modeling, and software architecture.
• Proficiency in classical machine learning algorithms (e.g., Logistic Regression, Random Forest, XGBoost) and modern deep learning algorithms (e.g., BERT, LSTM).
• Strong knowledge of SQL and Python’s data analysis ecosystem (Jupyter, Pandas, Scikit-Learn, Matplotlib).
• Advanced Techniques:
• Familiarity with ensemble methods like bagging and boosting.
• Understanding of model evaluation, data pre-processing techniques (standardisation, normalisation, handling missing data).
• Knowledge of summary, robust, and nonparametric statistics; hypothesis testing, probability distributions, sampling techniques, and stochastic processes.
• Cloud and Deployment:
• Proven experience in delivering high-quality AI-based products and productionising machine learning models.
• Experience developing cloud-based machine learning services, preferably using Google Cloud Platform (GCP).
• Problem-Solving and Coding:
• Ability to solve coding problems efficiently, implement vector operations, and use similarity measures like cosine similarity.
• Practical understanding of monkeypatching for runtime code modification.

Please access the link below to apply or email your CV across to [email protected]