ML Engineer

We don’t just believe in better. 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, Sky Stream 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.

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 Machine Learning 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.

• 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.

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

• Free Sky TV or NOW package, including Sky Sports and Sky Cinema

• Pension package with up to 9% employer contribution

• Private healthcare with mental health support

• Aviva Digital GP and dental insurance

• Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect

• Sharesave and Tech schemes

• A range of Sky VIP rewards and experiences

We’ve adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week.

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, 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.

We’re Sky, a leading media and entertainment company who…