Senior Machine Learning Engineer

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.

• 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., Tensor Flow, PyTorch).
• Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (e.g., Tensorflow Serving, Triton, Torch Serve).
• 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.

When you come in, you can grab a coffee or a bit of breakfast from one of the many on-site cafés or restaurants. Settle in at your desk, check Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you’ll join your team and pick the first task to get cracking on.

At lunchtime, you’ve got a few choices: head to The Pavilion for a bite with the team, visit the onsite gym for a quick workout, or join in with a lunchtime community meetup. Once you’re back, you’ll carry on working with your team on your current feature. Later in the afternoon, the team might enjoy a quick coffee break before wrapping up the day with a team retrospective.

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 Sky Showtime 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.

There’s one thing people can’t stop talking about when it comes to Sky: the perks. Here’s a taster:

• Sky Q, for the TV you love all in one place
• The magic of Sky Glass at an exclusive rate
• A generous pension package
• Private healthcare
• Discounted mobile and broadband
• A wide range of Sky VIP rewards and experiences

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We’ve…