Senior Machine Learning Engineer (Recommendation)
Role overview
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.
Responsibilities
- check_circle Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.
- check_circle Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.
- check_circle Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.
- check_circle Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
- check_circle Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.
- check_circle Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.
Basic qualifications
- 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.
- Proven successful experience in mentoring less experienced engineers to improve their technical skills
Benefits
- check_circle Sky Q, for the TV you love all in one place
- check_circle The magic of Sky Glass at an exclusive rate
- check_circle A generous pension package
- check_circle Private healthcare
- check_circle Discounted mobile and broadband
- check_circle A wide range of Sky VIP rewards and experiences
About the company
Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.
Tags & Focus Areas
About Sky
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