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описание
An established technology company operating internationally delivers advanced data and machine learning solutions at scale, utilizing cutting-edge predictive models to solve complex commercial challenges in a high-growth environment.
задачи
Design, develop, deploy and maintain machine learning and deep learning models in production environments;
Collaborate closely with engineering teams to ensure scalable, reliable model deployment;
Build and improve predictive systems across areas such as user behaviour modelling, recommendation systems, conversion prediction and customer retention;
Conduct statistical analysis, experimentation and A/B testing to support business decisions;
Investigate model performance, identify optimisation opportunities and deliver actionable insights to stakeholders;
Evaluate new machine learning approaches and contribute to the evolution of modelling frameworks;
Mentor and support the development of junior team members;
Contribute to best practices across machine learning engineering, data science and software development.
требования
Strong academic foundation in mathematics, statistics, computer science or a related quantitative field;
Commercial experience developing machine learning solutions that support core products or services;
Proven ability to deploy and manage machine learning models in production;
Strong Python programming skills with a focus on clean, maintainable and well-tested code;
Expertise with machine learning and data science libraries including pandas, NumPy, SciPy, scikit-learn and PyTorch;
Advanced SQL skills and experience working with large datasets;
Strong understanding of probability, statistical learning and optimisation techniques;
Experience with both traditional machine learning and deep learning approaches;
Knowledge of neural network architectures, feature embeddings and modern deep learning techniques;
Ability to translate complex data into clear business insights for technical and non-technical stakeholders;
Nice to have: Experience with cloud platforms and machine learning infrastructure, particularly AWS services, Exposure to distributed data processing technologies such as PySpark, Previous experience within digital advertising, marketing technology or high-volume predictive environments.
условия
Competitive base salary;
Performance-related bonus scheme;
Profit-sharing programme;
Additional long-service rewards;
Comprehensive healthcare coverage;
Subsidised lunch allowance;
Enhanced annual leave entitlement and additional time off benefits;
Mental health and wellbeing support;
Regular social events and team activities;
Clear opportunities for career progression and technical development within a growing machine learning function.
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