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Job Overview
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.
Senior Machine Learning Engineer – Voice
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.
- Technical Skills and Coding Practices – Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages.
- Cloud and Infrastructure Experience – Hands‑on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams.
- Large‑Scale and Customer‑Facing Solutions – Strong experience building in‑house models and solutions for customer‑facing products, including large‑scale ML systems serving tens of millions of users.
- Product Development and Delivery – End‑to‑end product development skills with a passion for technology, fast‑paced delivery, and a restless attitude to continuously improve speed and quality.
- Leadership and Collaboration – Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure.
- Analytical and Innovative Mindset – Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate.
- Academic and Research Excellence – PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale.
Team Overview
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. 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
- 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
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.
