Machine Learning Engineer

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.

As a Machine Learning Engineer you will be responsible for the improvements and maintenance of our ML Framework, supporting a team of Data Scientists to deploy a variety of Machine Learning and AI models into production. The role works closely in collaboration with Data Scientists and Engineers to follow best practises and Governance. You will need to utilise the GCP Vertex AI suite to enable automated re-training and scoring, making sure our business partners have a robust system to access scores for targeting.

What you'll do Collaborate with our Data Scientists to enable them to also work within the Framework and prepare their models for production using various components.

Act as a bridge between Data Science and Data Engineering teams, ensuring seamless integration of models into production systems

Self-starter who can work independently to deliver improvements to the framework.

Forward looking, always seeking for new ways to improve and develop on existing processes.

Work closely with ML Engineers from other teams to share learnings and accelerate development of new features

What you'll bring Advanced working knowledge of Vertex AI and the wider GCP ecosystem.

Great communication skills to aid the Principal Data Scientist to develop long term roadmaps and be comfortable presenting to Data leaders when needed.

Strong working knowledge of modern ML frameworks (e.g., XGBoost, Scikit-learn, TensorFlow) and experience applying them to real-world problems.

Proficiency in writing clean, maintainable, and efficient code in Python and SQL.

Solid understanding of software engineering principles, including version control (Git), testing, CI/CD pipelines, and containerization (Docker/Kubernetes).

Team overview

The team sits within Sky Data OTT serving machine learning models to the NOW and WOW businesses in Europe. We work to increase personalisation for our customers through content recommendations and offers.

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:

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 at Sky.

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: Hybrid pattern, 2 days a week in our Osterley Campus

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