Senior Machine Learning Engineer

null

• Design, develop, and maintain applied machine learning solutions that power Sky’s far-field voice experiences across Sky Glass and other partner devices.
• 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.
• 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.
• 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.
• Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users.
• End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality.
• Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure.
• Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate.
• 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.

• Generous pension package
• Private healthcare
• Discounted mobile and broadband
• A wide range of Sky VIP rewards and experiences

null