Senior Machine Learning Engineer – Sky

Join to apply for the Senior Machine Learning Engineer role at Sky.

Overview

We believe in better. And we make it happen. 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.

What You’ll Do

The Senior Machine Learning Engineer will be responsible for developing and implementing data-driven solutions to deliver new innovative sports-focused products to our significant customer base of sports fans. They will identify trends in large datasets and develop models that can predict future outcomes. They must be comfortable working with stakeholders across the Organisation to ensure insights are effectively communicated and implemented.

• Develop predictive models using advanced statistical techniques such as regression, classification, clustering, etc.
• Analyse large datasets to uncover patterns and relationships between variables.
• Collaborate with stakeholders across the Organisation to understand needs and develop data-driven solutions.
• Own the full lifecycle of ML solutions—designing, deploying, and maintaining models in production environments.
• Monitor performance of existing models over time and adjust parameters for optimal results.
• Stay up-to-date on industry trends related to data science technologies and best practices.
• 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
• Good understanding of large language and multi-modal models
• Proficiency in Python, Docker and cloud-based environments (ideally AWS)
• Strong background in data analysis and machine learning, with proven experience in architecting and building end-to-end ML systems (ideally 3+ years)
• AWS Machine Learning Certification desirable
• Experience using Infrastructure-as-Code to deploy ML solutions on AWS

The rewards

• Sky Q, for the TV you love all in one place
• 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. There are free shuttle buses to and from nearby stations, bike shelters and showers. On campus you’ll find restaurants, cafes, and a Waitrose, plus subsidised gym access, cinema, car wash, and more.

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 to explore what if, how far, and what next. We embrace differences, 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.

Note: If your application is successful, we’ll ask you to complete a criminal record check. Depending on the role and the nature of any convictions, we might withdraw the offer.