Senior 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.

The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation applications for mobile and TV customers. This position will work closely with data scientists, other engineers, product managers, and stakeholders to ensure the successful delivery of high-quality software solutions. The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team.

What you'll do:

• Designs, develop, test and maintain scalable content recommendations applications for mobile and TV using established coding standards.

• Analyses user requirements to determine feasibility of design within time and cost constraints.

• Collaborates with data scientists and other engineers, product managers, stakeholders and end users in order to ensure successful delivery of projects.

• Develops technical specifications based on user requirements.

• Troubleshoots existing code issues as needed.

• Monitors system performance metrics in order to identify areas for improvement.

• Provides technical guidance and mentorship to junior members of the engineering team.

• Participates in code reviews as necessary.

What you'll bring

• You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) – this is a must.

• Proven ability to refactor and write performant, secure and clean code

• Existing experience with either TypeScript or Python, with a desire to learn additional languages in the future.

• Experience in the cloud services used frequently in serverless applications (e.g. following the best practices of using AWS Lambda functions).

• Solid knowledge on machine learning theory from both classic approaches to state of art

• Strong experience on building in-house model and solution for customer-facing product

• Strong experience on building large scale machine learning solution to tens of million users.

• Evidence on customer or business impacts from the products the candidate built.

• Strong product development skills, end-to-end

• Strong analytical mind, impact measurable

• Good and confident communicator

• Good team player, tech leader, and individual contributor

• Super creative mind of thinking and be capable of creating products from ideas

• Restless attitude and a drive to always make things better and quicker.

• Passion for technology and a fast pace of delivery

• Experience working with CI/CD in an agile team

• Strong positive attitude towards both success and failure

Big Plus:

• PhD in related subjects

• Extensive machine learning research background and experiences

• Academic publications in machine learning related conferences or journals

• ML product development experiences for content discovery on large scale customer-facing clients / devices

Team overview

Global Product

We’re the Global Product. We’re the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can’t wait to get started on what’s next.

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

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. 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.

Leeds

Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts

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.