WAY OF WORKING: Full Time | Contract | Hybrid Working
THE SENIOR MACHINE LEARNING ENGINEER OPPORTUNITY
Design, develop, and deploy scalable machine learning systems that support demand forecasting and related AI products.
Build and maintain end-to-end ML pipelines covering data preparation, experimentation, training, evaluation, deployment, monitoring, and optimisation.
Develop large-scale data processing and feature engineering solutions using technologies such as PySpark and Databricks.
Create multimodal machine learning models that combine image, text, metadata, and behavioural data to enhance forecasting and AI capabilities.
Collaborate with Applied Scientists, Data Engineers, Product Managers, and business stakeholders to productionise innovative machine learning solutions.
YOUR KEY SKILLS
Significant experience designing, deploying, and supporting machine learning systems in production environments.
Strong Python software engineering expertise, including testing, code quality, and maintainable application development.
Proven experience working with large-scale data processing technologies such as PySpark and Databricks.
Strong background building end-to-end ML pipelines across the full machine learning lifecycle.
Hands-on experience with deep learning frameworks including PyTorch, TensorFlow, or equivalent technologies.
Experience with multimodal machine learning, embedding models, representation learning, or foundation models.
Strong understanding of modern deep learning architectures, particularly Transformers and large-scale representation learning techniques.
Experience working with distributed computing environments, large datasets, and scalable training or inference systems.
Knowledge of cloud platforms and modern MLOps practices.
Excellent communication skills with the ability to work effectively across technical and non-technical teams.
Pragmatic approach to balancing engineering excellence with business outcomes.
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