Better content. 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 turn big ideas into the products, content and services millions of people love.
We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform.
Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.
Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.
Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.
Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.
Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.
Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance.
Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., Experience using ML Training frameworks (e.g., Experience with high-volume data processing and real-time streaming architectures.
Familiarity with Generative AI and its applications in production settings.
A Typical Day at the Office
When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective.
Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport.
A generous pension package
Private healthcare
Discounted mobile and broadband
Inclusion & how you'll work
We are a Disability Confident Employer, and welcome and encourage applications from all candidates. 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
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.
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 at Sky. We support our community and contribute to a sustainable future for our business and the planet.
Just so you know: if your application is successful, we'll ask you to complete a criminal record check.
or continue with email
We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform.
Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.
Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.
Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.
Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.
Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.
Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance.
Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., Experience using ML Training frameworks (e.g., Experience with high-volume data processing and real-time streaming architectures.
Familiarity with Generative AI and its applications in production settings.
A Typical Day at the Office
When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective.
Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport.
A generous pension package
Private healthcare
Discounted mobile and broadband
Inclusion & how you'll work
We are a Disability Confident Employer, and welcome and encourage applications from all candidates. 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
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.
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 at Sky. We support our community and contribute to a sustainable future for our business and the planet.
Just so you know: if your application is successful, we'll ask you to complete a criminal record check.
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
Similar jobs
![[ Fastwater Staffing ] Senior Satellite Systems Engineer — Payload Responsible | Montreal, Canada (Full Relocation Package)](https://pcdns.recruit.net/2.0/big-logos-100/12/12893069.png)
