What you'll do:
• Maintain and enhance our machine learning platform across ingestion, annotation, model training, serving, monitoring, and reporting for operating at scale.
• Use speech recognition, natural language processing and computer vision techniques to explore large unstructured datasets and train machine learning models for customer products.
• Design experiments and develop A/B tests to evaluate machine learning models deployed to customers.
• Collaborate with specialists across scrum, product, engineering, data science, machine learning and research to deliver solutions that directly improve customer experiences.
• Present data science and machine learning proposals to both technical and non-technical audiences.
What you'll bring:
• Advanced expertise in AWS services i.e., EC2, Lambda, S3, RDS, DynamoDB, Athena, Aurora, SageMaker, QuickSight.
• Intermediate expertise in traditional machine learning (i.e., unsupervised, supervised, semi-supervised), deep learning (i.e., convolution, recurrent, autoencoder) and statistics (i.e., hypothesis testing).
• Experience in Python and TypeScript (optional) programming languages and TensorFlow and PyTorch frameworks.
• Experience in training and deploying models to production environments that serve live products and services.
• Awareness of test-driven development and the importance of flexible, extensible, maintainable, and testable code (and documentation!)
• Awareness of cutting-edge machine learning techniques and frameworks and how they could be used to deliver innovative customer experiences.
Department overview:
We’re the Product Hub. We’re the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better and we can’t wait to get started on what’s next.
Team Overview:
Product Delivery
Want to deliver brilliant products and unmissable entertainment that grips millions of households? Our 1000 strong, Product Delivery team does everything from developing innovative AI technology to creating the best HDR viewing experience for TV products. From Sky Go to Sky Q & Sky Glass, we take our products to the next level and make them more agile and reliable with every release.
The Rewards:
There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few:
• Sky Q, for the TV you love all in one place
• A generous pension package
• Private healthcare
• Discounted mobile and broadband
• Access a wide range of exclusive Sky VIP rewards and experiences
How you'll work:
We know the world has changed, and we want to offer our employees the chance to collaborate at our unique office spaces, whilst enjoying the convenience of working from home.
We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process.
Your office base:
Osterley:
Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There’s also plenty of bike shelters and showers.
On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon.
Inclusion:
We take pride in our approach to diversity and inclusion: we’ve been recognised by The Times and Stonewall for this, and we’ve committed £30million to support the fight against racial injustice. We’ve also set ambitious targets for increasing ethnic diversity and representation throughout our organisation.
At Sky we don’t just look at your CV. We’re more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working.
And we'll do everything we can to support you during your application. If you need us to make any adjustments to our recruitment process, speak to our recruitment team who will be happy to support you.
Job ID: 99418
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