Data Engineer
Role details
Job location
Tech stack
Job description
We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform.
- Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.
- Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.
- Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.
- Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
- Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.
- Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems., A memory curation platform company in the UK is looking for an iOS Developer to enhance its photo curation app. Your role involves using Swift to build features that automate photo organization and create high-quality products. Collaboration and a problem-solving attitude..., A leading healthcare organization in the United Kingdom seeks an experienced Senior Data Scientist to lead a team and provide expertise in data science methodologies. This permanent role involves developing statistical models and overseeing the application of analytical...
Head of Platform Delivery AI and ML
DataTech Analytics
A fast growing AI and data platform business is expanding its delivery leadership as demand grows across sectors including financial services, retail, telecoms, healthcare and insurance. The organisation is building real AI solutions that are live in production, not simply..., A fast growing AI and data platform business is seeking a Head of Platform Delivery to shape how solutions are delivered to clients at scale. This role is pivotal, working closely with engineering, data science, product, and client teams to ensure smooth platform...
Requirements
- Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance.
- Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). .
- Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe).
- Experience with high-volume data processing and real-time streaming architectures.
- Strong understanding of recommendation system design and personalisation algorithms.
- Familiarity with Generative AI and its applications in production settings.
- Exceptional communication and analytical problem-solving skills.
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Benefits & conditions
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