Senior Machine Learning Engineer in London

Job Description

• 
  
• 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.
  

• 
  
• 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.
  
• 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 (Big Plus) 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.
  

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.

• 
  
• 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
  

We are a 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.

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.

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. 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.