Senior Machine Learning Engineer
3 days ago
South Norwood
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 will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do • Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms., • Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning., • Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale., • Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences., • Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements., • Monitor system metrics and production model performance to proactively identify opportunities for improvement., • Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing., • Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring, • Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. 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 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. 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.