What you’ll do
Senior Machine Learning Engineer to advance personalised recommendation systems by developing efficient, low‑latency solutions that serve millions of users globally. Collaborate with data scientists, engineers and product managers to design intelligent content recommendation mechanisms and drive continuous advancement of our Machine Learning Platform.
* Model Development: Design, train, optimise machine learning models focused on user personalisation, including recommendation engines, ranking algorithms and content analysis.
* Data Pipeline Engineering: Construct and maintain scalable data pipelines for feature engineering and model training using structured and unstructured large‑scale datasets.
* Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability and optimal performance.
* Experimentation: Design and analyse A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
* Cross‑Functional Collaboration: Engage with multidisciplinary teams to align ML initiatives with business objectives.
* Research & Innovation: Evaluate emerging research in machine learning, deep learning and personalisation for potential integration.
What you’ll bring
* Demonstrated expertise in the full lifecycle of machine learning, from model development to deployment, serving, monitoring and maintenance.
* Strong proficiency in Python and knowledge of ML libraries/frameworks such as TensorFlow and PyTorch.
* Experience using ML training frameworks (TFX, Kubeflow Pipelines SDK) and model serving technologies (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 experience mentoring less experienced engineers.
Perks and benefits
* Sky Q and Sky Glass at discounted rates.
* Generous pension package.
* Private healthcare.
* Discounted mobile and broadband.
* Wide range of Sky VIP rewards and experiences.
Inclusion & how you’ll work
We are a Disability Confident Employer and welcome applications from all candidates. Reasonable adjustments will be provided where necessary. Hybrid working is available; further details will be supplied during recruitment.
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