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Greater London, England, United Kingdom
Hybrid
Not Available
We don’t just believe in better. 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, Sky Stream 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.
Role/Team overview
We’re on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky’s innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI.
You’ll work alongside engineers, product, and domain experts to shape the way Sky uses Data Science and Large Language Models to unlock real value across the business.
What you’ll do
Develop Generative AI and agentic solutions, including RAG applications, conversational assistants, intelligent workflows and tool-using agents.
Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks.
Analyse in-depth datasets, traces and system performance to continuously improve AI solutions.
Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment.
Strengthen our internal data science capabilities by continuously driving experimentation, innovation, and continuous learning.
What you’ll bring
Essential criteria:
Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience.
Hands-on experience developing solutions with Large Language Models.
Hands-on experience building applied ML models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost, PyTorch).
Desirable skills and experience:
Experience designing evaluation frameworks for generative systems (e.g., LLM-as-a-judge, task-specific metrics).
Experience with vector databases, data querying languages and retrieval methods.
Experience with AI monitoring, observability, guardrails, testing and responsible AI practices.
A commercial mindset, you understand how data science drives value, not just insight.
Benefits and perks
There's one thing people can't stop talking about when it comes to life at Sky: the perks. Here’s a taster:
Free Sky TV or NOW package, including Sky Sports and Sky Cinema
Pension package with up to 9% employer contribution
Private healthcare with mental health support
Aviva Digital GP and dental insurance
Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect
Sharesave and Tech schemes
A range of Sky VIP rewards and experiences
How you’ll work
We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week.
Your office base
Osterley
Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there’s plenty of space to see your big ideas come to life. Here you’ll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon.
Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there’s free onsite parking available for cars, motorbikes and bicycles.
Livingston Watermark
Sky Watermark is our central site for Livingston, sitting between Glasgow and Edinburgh. With vibrant office spaces, chill-out areas, and an onsite canteen, it’s a great place to work and connect.
The nearest train station is Livingston North. A Sky shuttle bus runs between the station and campus every 20 minutes throughout the day. Plus, there’s onsite parking available for cars, motorbikes and bicycles.
Who we are
We’re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you’ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society.
We’re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited 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 as early as you can.
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.
To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position.
To find out more about working with us, search #LifeAtSky on social media.