Permanent A/B Testing Jobs in the City of Westminster

2 of 2 Permanent A/B Testing Jobs in the City of Westminster

Lead Machine Learning Engineer

City Of Westminster, London, United Kingdom
Hybrid / WFH Options
Sky
big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead 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 … datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the 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 … ll bring Demonstrated expertise in the full lifecycle of machine learning, from model development and deployment to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries / frameworks (e.g., TensorFlow, PyTorch). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Lead Machine Learning Engineer

london (city of westminster), south east england, united kingdom
Hybrid / WFH Options
Sky
big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead 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 … datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the 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 … ll bring Demonstrated expertise in the full lifecycle of machine learning, from model development and deployment to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries / frameworks (e.g., TensorFlow, PyTorch). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI More ❯
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