Job Description

Senior Artificial Intelligence / Machine Learning Engineer
£100k - £131k per annum
Islington, Greater London
PCD330000
Working in Tech, Product, or Data at the organisation is about building the next and the new. From broadband to broadcast, streaming to mobile, connected media platform to connected media device, we never stand still. We turn big ideas into the products, content and services millions of people love.
The Senior Machine Learning Engineer will play a key role in shaping the future of voice at the organisation - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You will design, develop, and maintain applied machine learning solutions that power the organisation's far-field voice experiences across connected media devices and partner hardware.
Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across the organisation's 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.
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.
Experience with serverless cloud services and 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.
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.
We design and deliver the machine learning models and cloud systems that make speaking to connected media device 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 the organisation, you will focus on continuously improving the voice experience on device operating system across all territories and syndication partners. You will collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience.
A generous pension package
Private healthcare
Discounted mobile and broadband

Inclusion and how you will work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We have embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You will find out more about what hybrid working looks like for your role later on in the recruitment process.
Your office space
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.
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 the organisation. We support our community and contribute to a sustainable future for our business and the planet.
Just so you know: if your application is successful, we will ask you to complete a criminal record check.