Overview
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We believe in better. And we make it happen.
Better content. Better products. And better careers.
Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.
We turn big ideas into the products, content and services millions of people love.
And we do it all right here at Sky.
About Us Join us to rethink how sports are experienced. Backed by our new AI-driven platform, we will be building live sports experiences to be more immersive, more personalised - giving fans a chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you\'ll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform.
We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. It\'s a space that rewards creativity, flexibility, and a hands-on approach. If you enjoy working iteratively, experimenting with new techniques, and solving open-ended problems, you\'ll feel right at home. If not, this may not be the right fit - and that\'s okay too.
What you\'ll do
The Senior Machine Learning Engineer will be responsible for developing and implementing data-driven solutions to deliver new innovative sports focussed products to our significant customer base of sports fans. They will be able to identify trends in large datasets and develop models that can predict future outcomes. Additionally, they must be comfortable working with stakeholders across the Organisation to ensure their insights are effectively communicated and implemented.
- Develops predictive models using advanced statistical techniques such as regression, classification, clustering, etc.
- Analyses large datasets to uncover patterns and relationships between variables.
- Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results.
- Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments.
- Monitors performance of existing models over time and adjust parameters accordingly for optimal results.
- Stays up-to-date on industry trends related to data science technologies and best practices in order to recommend new approaches when necessary.
- Build and integrate cloud-native components to expose models as scalable endpoints and publish inference results as events for downstream systems.
- Establish and maintain robust MLOps practices, including CI/CD pipelines, monitoring, retraining strategies, and automated testing.
- Mentor and guide junior data scientists and engineers on best practices for productionising machine learning.
What you\'ll bring
- A strong collaborative mindset, with the ability to work across disciplines and contribute creatively
- Have a good understanding of large language and multi-modal models.
- Good experience in Python, Docker and developing in a cloud-based environment (ideally AWS)
- A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems
- AWS Machine Learning Certification desirable
- Experience using Infrastructure-as-Code to deploy ML solutions on AWS
The rewards
There\'s one thing people can\'t stop talking about when it comes to #LifeAtSky: 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
Inclusion & how you\'ll work
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 embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You\'ll find out more about what hybrid working looks like for your role later on in the recruitment process.
Your office space
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 are also plenty of bike shelters and showers.
On campus, you\'ll find 13 subsidised restaurants, cafés, 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.
We\'d love to hear from you
Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It\'s a place where you can explore what if, how far, and what next.
But better doesn\'t stop at what we do, it\'s how we do it, too. We embrace each other\'s differences. We support our community and contribute to a sustainable future for our business and the planet.
If you believe in better, we\'ll back you all the way.
Just so you know: if your application is successful, we\'ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
