Senior Machine Learning Engineer

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 .

Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast .

As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects.

What you'll do    Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users

 Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data

 Optimise relevance, latency, and response quality for interactive UI components

 Evaluate and improve models using real-world feedback, analytics and experimentation

 Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications

 Contributes to system architecture, model selection, and deployment strategies

 Provides technical guidance and mentorship to junior members of the engineering team

 Participates in Scrum / agile process

 Participates in on-call support with the rest of the team

What you'll bring    Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production

Working experience and in-depth understanding of:

- Large Language Models (LLMs)
- Vector databases and semantic search
- Retrieval-Augmented Generation (RAG)   Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset

 Familiar with cloud services (e.g. AWS Lambda best practices)

 Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments

Big Plus:
PhD in related subjects

 Extensive machine learning research background, including a cademic publications in ML- related conferences or journals

Team overview  

Global Product

We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next.

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:  

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…