ML Engineer

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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.

• Build and deploy scalable machine learning solutions that power customer experience, personalisation, and commercial decision making across Sky.
• Develop robust feature engineering pipelines that feed ML models and analytical products.
• Work closely with data scientists, engineers, and product teams to translate business needs into production ready systems.
• Implement, test, and optimise ML workflows to ensure reliability, performance, and compliance in a large-scale cloud environment.
• Stay current with emerging ML engineering techniques (e.g. Agentic AI) and bring innovative approaches into the team.

• Solid Python engineering skills, including writing production quality code and working with ML/analytics libraries.
• Hands on experience with data engineering workflows: data modelling, pipeline development, and processing of large structured and unstructured datasets (SQL preferred).
• Practical experience deploying ML models and analytical applications to cloud platforms (GCP preferred).
• Familiarity with modern ML operations practices: model management, monitoring, CI/CD, and reproducible workflows.
• Understanding of microservices, containerisation, or orchestration tools (e.g., Docker, Kubernetes).
• Clear communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.

Data science is central to how Sky understands and serves its customers. Our Data Science & Analytics team builds the intelligence that powers personalised experiences, smarter decision making, and commercial performance across the business. With rich behavioural, engagement, and service quality data at our fingertips, we’re scaling our capabilities and investing in modern ML engineering to unlock even more value. Our ML Engineers work alongside data scientists, data engineers and our operations teams to product ionise models, automate workflows, and ensure our solutions run reliably ether, we’re evolving a proven, automated ML platform to keep it reliable, scalable, and ready for the future.

• 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

Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation ’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.

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, 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.

Inventive, forward‑thinking minds come together to work in Tech, Product and Data ’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.